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Preprint ARTICLE | doi:10.20944/preprints202004.0507.v1

Virus Graph and COVID-19 Pandemic: A Graph Theory Approach

H. R. Bhapkar, Parikshit Mahalle, Prashant S. Dhotre

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: virus graphs; COVID-19; pandemic; epidemic

Online: 29 April 2020 (12:32:24 CEST)

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Working Paper ARTICLE

A Comparative Analysis of Image Denoising Problem: Noise Models, Denoising Filters and Applications

Subrato Bharati, Tanvir Zaman Khan, Prajoy Podder, Nguyen Quoc Hung

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Gaussian noise; Speckle Noise; Mean square error(MSE); DE noising filters; Maximum difference value (MD); Peak signal to noise ratio(PSNR)

Online: 4 June 2020 (05:52:55 CEST)

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Preprint REVIEW | doi:10.20944/preprints202104.0734.v1

Code-based Post-Quantum Cryptography

Chithralekha Balamurugan, Kalpana Singh, Ganeshvani Ganesan, Muttukrishnan Rajarajan

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Quantum computing; Post-quantum cryptography; Code-based cryptography; cryptosystem; cryptography; Privacy

Online: 28 April 2021 (08:51:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202301.0463.v1

Trainable Activations for Image Classification

Evgenii Pishchik

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Trainable Activations, Trainable Activation Functions, CosLU, DELU, LinComb, NormLinComb, ReLUN, ScaledSoftSign, ShiLU

Online: 26 January 2023 (02:59:29 CET)

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Preprint ESSAY | doi:10.20944/preprints201711.0063.v1

Multi-Scale Deep Neural Network for Mitosis Detection in Breast Cancer Histological Images

Boqian Wu, Binwen Fan, Qiao Xiao, Tasleem Kausar, Wenfeng Wang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: breast cancer; mitosis detection; CNN; Stain-normalization; CRF; multi-scale feature

Online: 9 November 2017 (10:05:53 CET)

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Preprint ARTICLE | doi:10.20944/preprints201607.0037.v1

THE AVERAGE LOWER 2-DOMINATION NUMBER OF WHEELS RELATED GRAPHS AND AN ALGORITHM

TUFAN TURACI

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: graph vulnerability; connectivity; network design and communication; domination number; average lower 2-domination number

Online: 15 July 2016 (09:50:33 CEST)

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The problem of quantifying the vulnerability of graphs has received much attention nowadays, especially in the field of computer or communication networks. In a communication network, the vulnerability measures the resistance of the network to disruption of operation after the failure of certain stations or communication links. If we think of a graph as modeling a network, the average lower 2-domination number of a graph is a measure of the graph vulnerability and it is defined by

γ_{2 a v} (G) = \frac{1}{| V (G) |} \sum_{v \in V (G)} γ_{2 v} (G)

, where the lower 2-domination number, denoted by

γ_{2 v} (G)

, of the graph G relative to v is the minimum cardinality of 2-domination set in G that contains the vertex v. In this paper, the average lower 2-domination number of wheels and some related networks namely gear graph, friendship graph, helm graph and sun flower graph are calculated. Then, we offer an algorithm for computing the 2-domination number and the average lower 2-domination number of any graph G.

Preprint ARTICLE | doi:10.20944/preprints202202.0007.v1

Natural Language Processing Of Helpline Chat Data Before And During The Pandemic Revealed Significant Decrease In Self-image Appreciation And Changes In Other Traits

Maria Paz Raveau, Julian Goñi, José Rodriguez, Isidora Paiva, Fernanda Barriga, Maria Paz Hermosilla, Claudio Fuentes, Susana Eyheramendy

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: mental health; natural language processing; interdisciplinary research; mental health helpline

Online: 1 February 2022 (12:03:47 CET)

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Preprint ARTICLE | doi:10.20944/preprints201810.0490.v1

Investigation of Disintegration and Dissolution Behavior of Mefenamic Acid Drug Formulation Using Numeric Solution of Noyes-Whitney Equation with Cellular Automata Model on Microtomographic Surfaces and Rational Arrangements of Tablet Components

Reiji Yokoyama, Go Kimura, Christian Schlepütz, Jörg Huwyler, Maxim Puchkov

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: drug release simulation; disintegration simulation; poorly water soluble drug; mefenamic acid; Noyes-Whitney equation; cellular automata; synchrotron microtomography

Online: 22 October 2018 (11:38:04 CEST)

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Preprint REVIEW | doi:10.20944/preprints202008.0215.v2

Deep Learning Driven Automated Detection of COVID-19 from Radiography Images: A Comparative Analysis

Sejuti Rahman, Sujan Sarker, Abdullah Al Miraj, Ragib Amin Nihal, A. K. M. Nadimul Haque, Abdullah Al Noman

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: COVID-19; deep learning; radiography; automated detection; medical imaging; SARS-CoV-2

Online: 19 October 2020 (10:49:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201705.0028.v1

An Automatic Measurement Method for Absolute Depth of Objects in Two Monocular Images Based on SIFT Feature

Lixin He, Jing Yang, Bin Kong, Can Wang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: monocular image; image segment; SIFT; depth measurement; convex hull

Online: 3 May 2017 (09:19:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0085.v3

Vertex Domination in Fuzzy Graphs

Mohammadesmail Nikfar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fuzzy graph; fuzzy bridge; fuzzy tree; $\alpha$-strong arc; vertex domination

Online: 5 May 2019 (12:20:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0202.v1

A Graph Database Model for Knowledge Extracted from Place Descriptions

Hao Chen, Maria Vasardani, Stephan Winter, Martin Tomko

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: place; spatial property graph; place graph; graph database; place description

Online: 16 April 2018 (10:05:25 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201710.0018.v1

Challenges and Opportunities for Visualization and Analysis of Graph-Modeled Medical Data

Giuseppe Agapito, Pietro Hiram Guzzi, Mario Cannataro

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Biological Network; Graphs; Statistical Analysis

Online: 3 October 2017 (16:52:13 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202112.0243.v1

Segmentation of Agricultural Parcels in Satellite Images Based on Historical Vegetation Index Data

Maria Pavlova, Valerii Timofeev, Dmitry Bocharov, Irina Kunina, Anna Smagina, Mikhail Zagarev

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: digital farming; remote sensing; land management; multispectral image processing; land cover mapping; agricultural field boundary

Online: 14 December 2021 (15:01:03 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0530.v2

Digital Image Segmentation in Matlab: A Brief Study on Otsu’s Image Thresholding

Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Image segmentation, Otsu’s thresholding, Two level thresholding, Three level thresholding, Error minimization, Bayes decision, Probability density function (PDF).

Online: 5 February 2019 (08:12:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0126.v1

A Zero-Knowledge Proof Based on a Multivariate Polynomial Reduction of the Graph Isomorphism Problem

Edgar González Fernández, Guillermo Morales-Luna, Feliú Sagols Troncoso

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: graph isomorphism problem; multivariate polynomial system; zero-knowledge proof

Online: 8 May 2018 (09:35:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201707.0017.v1

Quasirecognition by Prime Graph of the Groups ²D_2n(q) Where q < 10⁵

Hossein Moradi, Mohammad Reza Darafsheh, Ali Iranmanesh

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: prime graph; simple group; orthogonal groups; quasirecognition

Online: 10 July 2017 (09:01:04 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201907.0298.v1

Securing IoT Based RFID Systems: A Robust Authentication Protocol Using Symmetric Cryptography

Khwaja Mansoor, Anwar Ghani, Shehzad Ashraf Chaudhry, Shahaboddin Shamshirband, Shahbaz Ahmed Khan Ghayyur, Ely Salwana

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: authentication protocol; IoT Security; RFID security; symmetric cryptography

Online: 26 July 2019 (04:30:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202103.0337.v1

Drug Target Prediction Using Graph Representation Learning via Substructures Contrast

Shicheng Cheng, Liang Zhang, Bo Jin, Qiang Zhang, Xinjiang Lu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Graph embedding; Link prediction; Mutual information; Subgraph

Online: 12 March 2021 (08:47:29 CET)

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Preprint ARTICLE | doi:10.20944/preprints201712.0025.v1

Collective List-only Entity Linking: A Graph-based Approach

Weixin Zeng, Xiang Zhao, Jiuyang Tang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: list-only entity linking; named entity disambiguation; graph-based approach

Online: 4 December 2017 (16:01:32 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0178.v1

Graph Coloring: A Novel Heuristic Based on Trailing Path; Properties, Perspective and Applications in Structured Networks

Abhirup Bandyopadhyay, Amit Kumar Dhar, Sankar Basu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: chromatic number; graph partitioning; NP to P; motif identifier; protein design

Online: 11 May 2018 (08:58:35 CEST)

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Graph coloring is a manifestation of graph partitioning, wherein, a graph is partitioned based on the adjacency of its elements. Partitioning serves potentially as a compartmentalization for any structural problem. Vertex coloring is the heart of the problem which is to find the chromatic number of a graph. The fact that there is no general efficient solution to this problem that may work unequivocally for all graphs opens up the realistic scope for combinatorial optimization algorithms to be invoked. The algorithmic complexity of graph coloring is non-deterministic in polynomial time (NP) and hard. To the best of our knowledge, there is no algorithm as yet that procures an exact solution of the chromatic number comprehensively for any and all graphs within the polynomial (P) time domain. However, several heuristics as well as some approximation algorithms have been attempted to obtain an approximate solution for the same. Here, we present a novel heuristic, namely, the 'trailing path', which returns an approximate solution of the chromatic number within polynomial time, and, with a better accuracy than most existing algorithms. The ‘trailing path’ algorithm is effectively a subtle combination of the search patterns of two existing heuristics (DSATUR and Largest First), and, operates along a trailing path of consecutively connected nodes (and thereby effectively maps to the problem of finding spanning tree(s) of the graph) during the entire course of coloring, where essentially lies both the novelty and the apt of the current approach. The study also suggests that the judicious implementation of randomness is one of the keys towards rendering an improved accuracy in such combinatorial optimization algorithms. Apart from the algorithmic attributes, essential properties of graph partitioning in random and different structured networks have also been surveyed, followed by a comparative study. The study reveals the remarkable stability and absorptive property of chromatic number across a wide array of graphs. Finally, a case study is presented to demonstrate the potential use of graph coloring in protein design – yet another hard problem in structural and evolutionary biology.

Preprint ARTICLE | doi:10.20944/preprints201905.0262.v1

Using Difference Scheme Method to the Fractional Telegraph Model with Atangana-Baleanu-Caputo Derivative

Mahmut Modanli

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fractional telegraph model with Atangana-Baleanu derivative; Laplace method; stability inequalites; difference schemes; implicit finite method

Online: 21 May 2019 (11:43:12 CEST)

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Working Paper ARTICLE

Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets

Hai Van Pham, Dat Hoang Thanh, Philip Moore

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Knowledge graphs; hierarchical pooling; graph classification; graph neural networks; FPool; large graph sensor datasets

Online: 15 June 2021 (14:32:53 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201811.0252.v1

BAGAN: Effective Data Generation Based on GAN Augmented 3D Synthesizing

Yan Ma, Kang Liu, Zhi-Bin Guan, Xin-Kai Xu, Xu Qian, Hong Bao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: object recognition; image data synthesizing; Human-computer interaction; data synthesizing for immersive HCI; generative adversarial nets; BAGAN

Online: 9 November 2018 (16:00:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints201803.0128.v1

Orthogonal Moment Extraction and Classification of Melanoma Images

Sudhakar Singh, Shabana Urooj

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: moments invariants; ZM,PZM; OFMM; SVM; PSO

Online: 16 March 2018 (05:26:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202105.0468.v1

3D Reconstruction Method of Rapeseed Plants in the Whole Growth Period Using RGB-D Camera

Xiaowen Teng, Guangsheng Zhou, Yuxuan Wu, Chenglong Huang, Wanjing Dong, Shengyong Xu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: 3D reconstruction; ICP; Azure Kinect; RGB-D image processing; point cloud filtering; rapeseed

Online: 20 May 2021 (09:52:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0302.v1

Relating Vertex and Global Graph Entropy in Randomly Generated Graphs

Philip Tee, George Parisis, Luc Berthouze, Ian Wakeman

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: graph entropy; chromatic classes; random graphs

Online: 22 May 2018 (11:59:26 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0024.v1

Nikfar Domination in Fuzzy Graphs

Mohammadesmail Nikfar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fuzzy graph, fuzzy bridge, -strong edge, nikfar domination, dynamic networks

Online: 3 January 2019 (13:43:25 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0012.v1

Layered Graphs: A Class that Admits Polynomial Time Solutions for Some Hard Problems

Bhadrachalam Chitturi, Srijith Balachander, Sandeep Satheesh, Krithic Puthiyoppil

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: NP-complete; graph theory; layered graph; polynomial time; quasi-polynomial time; dynamic programming; independent set; vertex cover; dominating set

Online: 2 May 2018 (05:41:54 CEST)

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The independent set, IS, on a graph

G = (V, E)

is

V^{*} \subseteq V

such that no two vertices in

V^{*}

have an edge between them. The MIS problem on G seeks to identify an IS with maximum cardinality, i.e. MIS.

V^{*} \subseteq V

is a vertex cover, i.e. VC of

G = (V, E)

if every

e \in E

is incident upon at least one vertex in

V^{*}

.

V^{*} \subseteq V

is dominating set, DS, of

G = (V, E)

if

\forall v \in V

either

v \in V^{*}

or

\exists u \in V^{*}

and

(u, v) \in E

. The MVC problem on G seeks to identify a vertex cover with minimum cardinality, i.e. MVC. Likewise, MCV seeks a connected vertex cover, i.e. VC which forms one component in G, with minimum cardinality, i.e. MCV. A connected DS, CDS, is a DS that forms a connected component in G. The problems MDS and MCD seek to identify a DS and a connected DS i.e. CDS respectively with minimum cardinalities. MIS, MVC, MDS, MCV and MCD on a general graph are known to be NP-complete. Polynomial time algorithms are known for bipartite graphs, chordal graphs, cycle graphs, comparability graphs, claw-free graphs, interval graphs and circular arc graphs for some of these problems. We introduce a novel graph class, layered graph, where each layer refers to a subgraph containing at most some k vertices. Inter layer edges are restricted to the vertices in adjacent layers. We show that if

k = Θ (log ∣ V ∣)

then MIS, MVC and MDS can be computed in polynomial time and if

k = O ({(log ∣ V ∣)}^{α})

, where

α < 1

, then MCV and MCD can be computed in polynomial time. If

k = Θ ({(log ∣ V ∣)}^{1 + ϵ})

, for

ϵ > 0

, then MIS, MVC and MDS require quasi-polynomial time. If

k = Θ (log ∣ V ∣)

then MCV, MCD require quasi-polynomial time. Layered graphs do have constraints such as bipartiteness, planarity and acyclicity.

Preprint ARTICLE | doi:10.20944/preprints202207.0389.v1

Comparison of Modern Cryptography Methods

Amandip Dutta

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: cryptography, elgamal, rsa, ecc, blowfish, encryption, decryption

Online: 26 July 2022 (06:03:09 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201804.0085.v1

The Results on Vertex Domination in Fuzzy Graphs

Mohammadesmail Nikfar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fuzzy graph; α-strong arcs; weight of nodes; vertex domination

Online: 8 April 2018 (08:24:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0053.v3

Estimating Full Regional Skeletal Muscle Fibre Orientation from B-Mode Ultrasound Images Using Convolutional, Residual, and Deconvolutional Neural Networks

Ryan Cunnigham, María B Sánchez, Greg May, Ian Loram

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: ultrasound; b-mode; skeletal muscle; fascicle orientation; pennation angle; fiber orientation; fiber tract; fascicle tract; convolutional neural network; deconvolutional neural network

Online: 19 January 2018 (14:05:16 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0467.v1

A Polynomial Time Algorithm for Graph Isomorphism and Automorphism

Sardar Anisul Haque

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: graph isomorphism; graph automorphism; polynomial time algorithm

Online: 24 August 2021 (13:56:35 CEST)

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Preprint REVIEW | doi:10.20944/preprints202104.0199.v1

A Survey of RDF Stores & SPARQL Engines for Querying Knowledge Graphs

Waqas Ali, Muhammad Saleem, Yao Bin, Aidan Hogan, A.-C. Ngonga Ngomo

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Knowledge Graph; ·Storage·Indexing; ·Query Processing; ·SPARQL; ·Benchmarks

Online: 7 April 2021 (11:50:51 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0053.v1

Estimating Full Regional Skeletal Muscle Fibre Curvature from b-Mode Ultrasound Images Using Convolutional-Deconvolutional Neural Networks

Ryan Cunnigham, María B Sánchez, Greg May, Ian Loram

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: ultrasound; b-mode; skeletal muscle; fascicle orientation; pennation angle; fiber orientation; fiber tract; fascicle tract; convolutional neural network; deconvolutional neural network

Online: 8 November 2017 (04:36:50 CET)

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Preprint REVIEW | doi:10.20944/preprints202108.0155.v1

A Comprehensive Survey of Cognitive Graphs: Techniques, Applications, Challenges

Meiling Chen, Ye Tian, Zhaorui Wang, Hong Xu, Bo Jiang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Cognitive Graph; Knowledge Graph; Knowledge Reasoning; Natural Language Generating

Online: 6 August 2021 (10:14:00 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202309.0050.v1

Object Detection in Adverse Weather for Autonomous Driving Through Data Merging and YOLOv8

Debasis Kumar, Naveed Muhammad

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Autonomous Driving; Harsh Weather; Object Detection; Data Merging; Deep Neural Networks; YOLOv8

Online: 1 September 2023 (09:57:21 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201807.0381.v1

The Double Roman Domination Numbers of Generalized Petersen Graphs P(n, 2)

Huiqin Jiang, Pu Wu, Zehui Shao, Jia-Bao Liu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: double Roman domination; discharging approach; generalized Petersen graphs

Online: 20 July 2018 (11:59:01 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0051.v1

Bounds for General Connectivity Indices of Tensor Product of Connected Graphs

Shakila Baby, Muhammad Kashif Shafiq, Asim Naseem, Hafiz Muhammad Afzal Siddiqui

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: tensor product of graphs; Randić index; sum-connectivity index; harmonic index

Online: 5 June 2018 (08:02:41 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202005.0052.v1

Social-Group-Optimization Assisted Kapur’s Entropy and Morphological Segmentation for Automated Detection of COVID-19 Infection from Computed Tomography Images

Nilanjan Dey, V. Rajinikant, Simon James Fong, M. Shamim Kaiser, Mufti Mahmud

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: COVID-19 infection; CT scan image; serial feature fusion; KNN classiﬁer; segmentation; detection accuracy

Online: 5 May 2020 (02:32:05 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201901.0025.v1

Nikfar Domination in Neutrosophic Graphs

Mohammadesmail Nikfar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Neutrosophic graph, bridge, tree, eective edge, nikfar domination.

Online: 3 January 2019 (13:46:43 CET)

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Preprint REVIEW | doi:10.20944/preprints202205.0343.v1

A Comprehensive Survey of Depth Completion Approaches

Muhammad Ahmed Ullah Khan, Danish Nazir, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Depth Completion; Depth Maps; Image-Guidance; Lidar

Online: 25 May 2022 (05:26:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202008.0336.v1

Classification of Amber Gemstone Objects by Shape

Armantas Ostreika, Marius Pivoras, Alfonsas Misevičius, Tomas Skersys, Linas Paulauskas

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: image processing; image classification; computer vision; expert systems; amber gemstones

Online: 15 August 2020 (04:39:11 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201711.0053.v2

Estimating Full Regional Skeletal Muscle Fibre Curvature from b-Mode Ultrasound Images Using Convolutional-Deconvolutional Neural Networks

Ryan Cunnigham, María B Sánchez, Greg May, Ian Loram

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: ultrasound; b-mode; skeletal muscle; fascicle orientation; pennation angle; fiber orientation; fiber tract; fascicle tract; convolutional neural network; deconvolutional neural network

Online: 16 November 2017 (04:34:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints202005.0493.v1

Diabetic Retinopathy Diagnostics from Retinal Images based on Deep Convolutional Networks

G. Arun Sampaul Thomas, Y. Harold Robinson, E. Golden Julie, Vimal Shanmuganathan, Yunyoung Nam, Seungmin Rho

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolutional Neural Networks; Dental Diagnosis; Image Recognition; Diabetic Retinopathy detection

Online: 31 May 2020 (18:55:43 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202002.0231.v1

Stochastic Activation Function Layers for Convolutional Neural Networks

Loris Nanni, Alessandra Lumini, Stefano Ghidoni, Gianluca Maguolo

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Convolutional Neural Networks; ensemble of classifiers; activation functions; image classification; skin detection

Online: 17 February 2020 (01:50:08 CET)

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Preprint ARTICLE | doi:10.20944/preprints202003.0313.v1

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Object detection; faster region-based convolutional neural network (FRCNN); single-shot multi-box detector (SSD); super resolution; remote sensing imagery; edge enhancement

Online: 20 March 2020 (09:50:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints202011.0039.v1

Generative Model for Skeletal Human Movements based on conditional DC-GAN applied to pseudo-images

Wang Xi, Guillaume Devineau, Fabien Moutarde, Jie Yang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: generative model; human movement; conditional Deep Convolutional Generative Adversarial Network; GAN; spatio-temporal pseudo-image

Online: 2 November 2020 (12:55:22 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0243.v3

Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze Moisture of Buildings

Tomasz Rymarczyk, Grzegorz Kłosowski, Edward Kozłowski

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: inverse problem; electrical tomography; moisture inspection; dampness analysis; machine learning; nondestructive evaluation

Online: 5 July 2018 (08:17:10 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201910.0319.v1

Using Convolutional Networks and Satellite Imagery to Predict Disease Density in a Developing Country

Rahman Sanya, Gilbert Maiga, Ernest Mwebaze

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: convolutional networks; satellite imagery; predictive modeling; disease density; urban housing; developing country

Online: 28 October 2019 (11:41:25 CET)

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Preprint REVIEW | doi:10.20944/preprints202307.0585.v1

Underwater Image Restoration and Enhancement: A Comprehensive Review of Recent Trends, Challenges, and Applications

Yasmin M. Alsakar, Nehal A Sakr, Shaker El-Sappagh, Tamer Abuhmed, Mohammed Elmogy

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Underwater image analysis; Underwater image restoration; Underwater image enhancement; Underwater datasets; Underwater image quality evaluation

Online: 10 July 2023 (10:06:22 CEST)

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Working Paper ARTICLE

Category-Theoretic Formulation of Model-Based Systems Architecting as a Concept-Model-Graph-View-Concept Transformation Cycle

Yaniv Mordecai, James Fairbanks, Edward Crawley

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Model-Based Systems Engineering; Category Theory; Object-Process Methodology; Model Analytics; Concept-Model-Graph-View-Concept; Graph Data Structures; Graph Query; Decision Support Matrix; Matrix-Based Analysis

Online: 16 February 2021 (15:22:49 CET)

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Preprint ARTICLE | doi:10.20944/preprints201808.0007.v1

Vertex Labeling and Routing for Farey-Type Symmetrically-Structured Graphs

Wenchao Jiang, Yinhu Zhai, Zhigang Zhuang, Paul Martin, Zhiming Zhao, Jia-Bao Liu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: complex networks; deterministic models; Farey-type graphs; vertex labeling; shortest path routing

Online: 1 August 2018 (08:36:16 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202305.2154.v1

D-VINS:Dynamics Adaptive Visual-Inertial SLAM With IMU Prior and Semantic Constraints in Dynamic Scenes

Yang Sun, Qing Wang, Chao Yan, Youyang Feng, Rongxuan Tan, Xiaoqiong Shi, Xueyan Wang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: VISLAM; dynamic environments; object detection; geometric constraint; IMU prior constraint

Online: 30 May 2023 (13:29:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201903.0086.v1

Spatio-Temporal Image Representation of 3D Skeletal Movements for View-Invariant Action Recognition with Deep Convolutional Neural Networks

Huy Hieu Pham, Houssam Salmane, Louahdi Khoudour, Alain Crouzil, Pablo Zegers, Sergio A. Velastin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: 3D human action recognition; skeleton-based representation; SPMF; enhanced-SPMF; AHE; D-CNNs; DenseNet

Online: 7 March 2019 (09:10:43 CET)

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Preprint ARTICLE | doi:10.20944/preprints201811.0530.v1

Digital Image Segmentation in Matlab: A Brief Study on Otsu’s Image Thresholding

Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Image segmentation, Otsu’s thresholding, Two level thresholding, Three level thresholding, Error minimization, Bayes decision, Probability density function (PDF).

Online: 21 November 2018 (15:51:51 CET)

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Preprint ARTICLE | doi:10.20944/preprints202307.0444.v1

Comparison of Monocular Visual SLAM and Visual Odometry Methods Applied to 3D Reconstruction

Erick P. Herrera-Granda, Juan C. Torres-Cantero, Andrés Rosales, Diego H. Peluffo-Ordóñez

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: monocular 3D reconstruction; monocular SLAM comparison; monocular VO comparison; monocular benchmark; 3D reconstruction classification; pure visual 3D reconstruction

Online: 7 July 2023 (10:12:55 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201806.0456.v1

Graphs and Binary Systems

Hee Sik Kim, J. Neggers, Sun Shin Ahn

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: binary system(groupoid); minimum (mutual) covering set; (mutual) shortest distance; (di)frame graph; d/BCK-algebra

Online: 28 June 2018 (04:48:32 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202211.0044.v1

A Fusion-based AI Approach for Dry Eye Disease Diagnosis using Multiple Sources of Digital Ophthalmic Data: A Bibliographic Study

Han Wang, Lumin Xing

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Dry eye disease; Artificial Intelligence; diagnosis; bibliographic study

Online: 2 November 2022 (04:21:40 CET)

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Preprint ARTICLE | doi:10.20944/preprints201905.0308.v1

Comparing Yiq and Ycbcr Colour Image Transforms for Semi-Fragile Medical Image Steganography

Peter Eze, Parampalli Udaya, Robin Evans, Dongxi Liu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Colour Model; Steganography; Medical Image; C4S; distortion

Online: 27 May 2019 (10:13:02 CEST)

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Working Paper COMMUNICATION

Mid-Low Resolution Remote Sensing Ship Detection Using Super-Resolved Feature Representation

Shitian He, Huanxin Zou, Yingqian Wang, Runlin Li, Fei Cheng, Xu Cao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Ship detection; image super-resolution; mid-low resolution remote sensing images

Online: 16 August 2021 (12:51:38 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202101.0579.v1

Interpreting and Comparing Convolutional Neural Networks: A Quantitative Approach

Mohammad Mohaiminul Islam, Zahid Hassan Tushar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Network Interpretation; Image Classification; Convolutional Neural Network; Integrated Gradient

Online: 28 January 2021 (12:29:20 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0059.v1

Classification of Hyperspectral Image Based on Double-Branch Dual-Attention Mechanism Network

Li Rui

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: hyperspectral image classiﬁcation; spectral-spatial feature fusion; channel-wise attention; spatial-wise attention

Online: 5 December 2019 (04:05:48 CET)

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Preprint ARTICLE | doi:10.20944/preprints201902.0252.v2

A Secure and Optimal Method of Steganography Using Bit Combination and Dynamical Rotation over Addresses

Moses Okello

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: General Mathematics, Combinatorial, Algebra, Steganography, Probability, Cryptography

Online: 20 March 2019 (15:43:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202009.0302.v1

Lightweight Cryptographic Algorithms on Resource-Constrained Devices

Thomas Xuan Meng, William Buchanan

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Lightweight cryptography; Internet of Thing (IoT); Resource constrained devices; Encryption-decryption; Symmetric cipher; Asymmetric cipher; Speed; Efficiency; Security; Cost; Raspberry Pi

Online: 13 September 2020 (23:50:29 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202003.0313.v2

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

Jakaria Rabbi, Nilanjan Ray, Matthias Schubert, Subir Chowdhury, Dennis Chao

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: object detection; faster region-based convolutional neural network (FRCNN); single-shot multi-box detector (SSD); super-resolution; remote sensing imagery; edge enhancement; satellites

Online: 16 April 2020 (03:08:50 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201805.0243.v1

Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze Moisture of Buildings

Tomasz Rymarczyk, Grzegorz Kłosowski, Edward Kozłowski

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: inverse problem; electrical tomography; moisture inspection; dampness analysis; machine learning, nondestructive evaluation

Online: 17 May 2018 (11:33:13 CEST)

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Preprint CASE REPORT | doi:10.20944/preprints202006.0053.v1

Row Action Algebraic Reconstruction Techniques Implementation in Graphic Cards using SCILAB (Benchmark in Medical Imaging, Seismic Imaging and Walnut Imaging)

Agah Drajat Garnadi, Muhammad Ilyas, M.T. Julianto, S. Nurdiati

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Algebraic iterative reconstruction; ART methods; Row-action methods; Graphics Cards; Tomographic imaging; Medical imaging; Seismic Imaging; Walnut Imaging.

Online: 5 June 2020 (14:27:06 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201902.0105.v1

A Novel Interactive Fusion Method with Images and Point Clouds for 3D Object Detection

Kai Xu, Zhile Yang, Yangjie Xu, Liangbing Feng

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fusion; point clouds; images; object detection

Online: 12 February 2019 (16:53:19 CET)

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Preprint ARTICLE | doi:10.20944/preprints201902.0252.v1

A Secure and Optimal Method of Steganography Using Bit Combination and Dynamical Rotation over Addresses

Moses Okello

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: General Mathematics, Combinatorial, Algebra, Steganography, Probability, Cryptography

Online: 27 February 2019 (11:47:18 CET)

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Preprint ARTICLE | doi:10.20944/preprints201804.0119.v1

Vertex Domination in t-Norm Fuzzy Graphs

Mohammadesmail Nikfar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: t-norm Fuzzy graph; t-norm; fuzzy tree; bridge; α-strong edges; vertex domination

Online: 10 April 2018 (08:41:33 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201812.0022.v1

An Efficient Image Retrieval Based on Fusion of Low-Level Visual Features

Atif Nazir, Kashif Nazir

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Image retrieval, color features, shape features, low-level features combination

Online: 3 December 2018 (13:33:45 CET)

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Working Paper ARTICLE

Past Railway Networks: The Value of Remote Sensing and Volunteer Geographic Information in Computer-assisted Geo-coding

Robert Jeansoulin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: geographic information fusion; data quality; data consistency checking; historic GIS; railway network; patrimonial data; crowdsourcing open data; volunteer geographic information VGI; wikipedia geo-spatial information extraction.

Online: 17 August 2020 (14:51:04 CEST)

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Transportation of goods is as old as human civilizations : past networks and their evolution shed light on long term trends. Transportation impact on climate change is measured as major, as well as the impact on spreading a pandemic. These two reasons motivate the importance of providing relevant and reliable historical geographic datasets of these networks. This paper focuses on reconstructing the railway network in France at its maximal extent, a century ago. The active stations and lines are well documented by the French SNCF, in open public data. However, that information ignores past stations (ante 1980), which represent probably more than what is recorded in public data. Additional open data, individual or collaborative (eg. Wikipedia) are particularly valuable, but they are not always geo-coded, and two more sources are necessary to completing that geo-coding: ancient maps and aerial photography. Therefore, remote sensing and volunteer geographic information are the two pillars of past railway reconstruction. The methods developed are adapted to the extraction of information from these sources: automated parsing of Wikipedia Infoboxes, data extraction from simple tables, even from simple text. That series of sparse procedures can be merged into a comprehensive computer-assisted process. Beyond this, a huge effort in quality control is necessary when merging these data: automated wherever possible, or finally visually controlled by observation of remote sensing information. The main output is a reliable dataset, under ODbl, of more than 9100 stations, which can be combined with the information about the 35000 communes of France, for a large variety of studies. This work demonstrates two thesis: (a) it is possible to reconstruct transport network data from the past, and generic computer assisted methods can be developed; (b) the value of remote sensing and volunteered geo info is considerable (what archeologists already know).

Preprint ARTICLE | doi:10.20944/preprints202210.0131.v1

Adversarial Patch Attack on Multi-Scale Object Detection for Remote Sensing Image

Yichuang Zhang, Yu Zhang, Jiahao Qi, Kangcheng Bin, Hao Wen, Ping Zhong

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Adversarial examples; Remote sensing images; Universal adversarial patch; Object detection; Joint optimization; Scale factor.

Online: 11 October 2022 (02:34:23 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202302.0097.v1

Deep Learning-Based Prediction of Diabetic Retinopathy Using CLAHE and ESRGAN for Enhancement

Ghadah Alwakid, Walaa Gouda, Mamoona Humayun

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Vision loss; Diabetic retinopathy; Image enhancement; APTOS

Online: 6 February 2023 (09:50:58 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0090.v1

DeHyFoNet: Deformable Hybrid Network for Formula Detection in Scanned Document Images

Muhammad Zeshan Afzal, Khurram Azeem Hashmi, Alain Pagani, Marcus Liwicki, Didier Stricker

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: formula detection; Hybrid Task Cascade network; mathematical expression detection; document image analysis; deep neural networks; computer vision

Online: 6 January 2022 (12:56:23 CET)

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Preprint ARTICLE | doi:10.20944/preprints202103.0754.v1

Augmenting Paraphrase Generation with Syntax Information using Graph Convolutional Networks

Xiaoqiang Chi, Yang Xiang

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: paraphrase generation; syntax information; Graph Convolutional Network; sequence-to-sequence

Online: 31 March 2021 (07:57:56 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202401.1108.v1

SSE-YOLO: Efficient UAV Target Detection With Less Parameters and High Accuracy

Yong Lu, Minghao Sun

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: UAV; small target detection; YOLOv8; feature extraction; deep learning

Online: 15 January 2024 (08:08:24 CET)

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Despite UAV multi-target detection exhibits considerable developmental potential worldwide, it suffers distinct challenges compared with traditional tasks in this field. These challenges include insufficient feature extraction capabilities for small targets, limited capabilities for multi-dimensional feature fusion, as well as constraints on hardware computation parameters. Especially in mission scenarios such as disaster detection, these challenges will be further amplified. Consequently, this paper introduces SSE-YOLO, an innovative YOLO framework algorithm specially designed to address these challenges. To enhance the model's feature extraction capability, we employ the SPDConv module to replace the original Conv in the backbone section, utilizing depth-separable convolution instead of traditional convolution pooling. Concurrently, we eliminate the SPPF module at the bottom and address a new Separate Kernel Attention Pyramid Pooling (SKAPP) module, substantially enhancing the feature fusion capability at the model's core. Moreover, to address the challenge of multi-dimensional feature fusion, we replace the Concat module of the neck and head with E-BiFPN, transmitting feature information from the backbone to the lower network through four CBS blocks, which effectively resolves the issue of lost contextual information in the model. Meanwhile, SSE-YOLO undergoes ablation experiments on the VisDrone2019 dataset to evaluate its effectiveness against alternative methods, and experimental results illustrate the model's exceptional precision in detecting UAV targets. In comparison to models with comparable experimental accuracy, SSE-YOLO requires remarkably fewer parameters. On the VisDrone2019-DET-test-dev dataset, SSE-YOLO enhances mAP by 17.3%, with a 42.5% reduction in the parameter amounts. Therefore, the proposed method effectively tackles the challenge of reconciling low parameters and high accuracy, presenting a novel pathway for deep learning-based UAV multi-target detection.

Preprint ARTICLE | doi:10.20944/preprints202011.0511.v2

Rumor Detection Based on SAGNN: Simplified Aggregation Graph Neural Networks

Liang Zhang, Jingqun Li, Bin Zhou, Yan Jia

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: rumor detection; graph neural network; artificial intelligence

Online: 22 December 2020 (14:23:02 CET)

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Preprint ARTICLE | doi:10.20944/preprints201912.0089.v1

A Study on the Detection of Cattle in UAV Images Using Deep Learning

Jayme Garcia Arnal Barbedo, Luciano Vieira Koenigkan, Thiago Teixeira Santos, Patrícia Menezes Santos

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: unmanned aerial vehicles; drones; Canchim breed; Nelore breed; convolutional neural networks

Online: 7 December 2019 (01:37:17 CET)

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Preprint ARTICLE | doi:10.20944/preprints202108.0579.v1

Space: The Re-visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics

John R Jungck, Michael J Pelsmajer, Camron Chappel, Dylan Taylor

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Graph Theory; Computational Geometry; Spatial Statistics; Image analysis; Tessellations; Voronoi Polygons; Delaunay Triangulations; Minimal Spanning Trees; Pitteway Violations

Online: 31 August 2021 (15:58:36 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202201.0457.v1

Investigating Transfer Learning in Graph Neural Networks

Nishai Kooverjee, Steven James, Terence Van Zyl

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: graph neural networks; machine learning; transfer learning; multi-task learning

Online: 31 January 2022 (12:49:31 CET)

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Preprint ARTICLE | doi:10.20944/preprints202305.2180.v1

Deep Camera-Radar Fusion with Attention Framework for Autonomous Vehicle Vision in Foggy Weather Conditions

Isaac Oluwadunsin Ogunrinde, Shonda Bernadin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Sensor fusion; object detection; deep learning; autonomous vehicles; camera-radar; adverse weather; fog; attention module

Online: 31 May 2023 (07:25:27 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201909.0298.v1

Undirected Graphs: Is the Shift-Enabled Condition Trivial or Necessary?

Liyan Chen, Samuel Cheng, Kanghang He, Lina Stankovic, Vladimir Stankovic

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: graph signal processing; shift-enabled graphs; shift-invariant filter; undirected graph

Online: 26 September 2019 (11:03:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202207.0389.v2

Comparison of Modern Cryptography Methods

Amandip Dutta

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: blowfish, cryptography, elgamal, elliptic-curve, encryption, decryption, Rivest-Shamir-Adleman

Online: 26 August 2022 (04:15:24 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202209.0212.v1

A Graph Neural Network Recommendation Method Based on Social Relationship Embedding

Lary Tzeng, Jean Shih, Rimpei Liou, Dely Huang, Dan Smolen

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Graph Neural Network; Recommendation; Social Relationship

Online: 14 September 2022 (16:09:15 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201905.0125.v1

Parkinson’s Disease Detection Using Biogeography-Based Optimization

Shahab Shahab, Somayeh Hessam, Shaghayegh Vahdat, Irvan Masoudi Asl, Mahnaz Kazemipoor, Timon Rabczuk

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Parkinson’s disease (PD); Biomedical voice measurements; Multi-layer Perceptron Neural Network (MLP); Biogeography-based Optimization (BBO); Medical diagnosis. Bio-inspired computation

Online: 10 May 2019 (13:56:59 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202010.0507.v1

The Domination Entropy of The Graphs

Bünyamin Şahin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Graph Entropy; Domination; Domination Polynomial; Information Functional

Online: 26 October 2020 (09:24:42 CET)

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Preprint ARTICLE | doi:10.20944/preprints202201.0061.v1

EmmDocClassifier: Efficient Multimodal Document Image Classifier for Scarce Data

Shrinidhi Kanchi, Alain Pagani, Hamam Mokayed, Marcus Liwicki, Didier Stricker, Muhammad Zeshan Afzal

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: BERT, Document Image Classification, EfficientNet, fine-tuned BERT, Hierarchical Attention Networks, Multimodal, RVL-CDIP, Two-stream, Tobacco-3482

Online: 6 January 2022 (10:08:38 CET)

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Preprint ARTICLE | doi:10.20944/preprints201805.0243.v2

Non-Destructive System Based on Electrical Tomography and Machine Learning to Analyze Moisture of Buildings

Tomasz Rymarczyk, Grzegorz Kłosowski, Edward Kozłowski

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: inverse problem; electrical tomography; moisture inspection; dampness analysis; machine learning, nondestructive evaluation

Online: 12 June 2018 (10:58:47 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202311.0111.v1

A Glove-wearing Detection Algorithm Based on Improved YOLOv8

Shichu Li, Huiping Huang, Xiangyin Meng, Mushuai Wang, Yang Li, Lei Xie

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Glove-wearing detection; YOLOv8; Feature Pyramid Network; Feature Layer

Online: 2 November 2023 (04:07:54 CET)

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Preprint ARTICLE | doi:10.20944/preprints201804.0085.v2

The Results on Vertex Domination in Fuzzy Graphs

Mohammadesmail Nikfar

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fuzzy graph; $\alpha$-strong arcs; weight of nodes; vertex domination

Online: 29 April 2019 (12:34:08 CEST)

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Preprint ARTICLE | doi:10.20944/preprints201906.0248.v1

Gray Level Image Threshold Using Neutrosophic Shannon Entropy

Vasile Patrascu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: image segmentation; neutrosophic information; Shannon entropy; gray level image threshold

Online: 25 June 2019 (08:48:22 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202203.0140.v1

Convolutional LSTM Approach for Left Ventricle Segmentation and Estimation of Left Ventricle Ejection Fraction in Echocardiography

Jin Gyo Jeong, DongHyun Kim, Young Jae Kim, Kyungmin Yoo, Kyungeun Ha, Wook-Jin Chung, Kwang Gi Kim

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Left ventricular ejection fraction; Left ventricle segmentation; Convolutional long short-term memory; Echocardiography

Online: 10 March 2022 (04:19:30 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0140.v1

Preference Net: Image Recognition using Ranking Reduction to Classification

Ayman Elgharabawy, Mukesh Prasad, Chin-Teng Lin

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Image Recognition; Preference Net

Online: 8 December 2021 (14:43:39 CET)

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Preprint ARTICLE | doi:10.20944/preprints202112.0269.v1

Image Encryption Based on Arnod Transform and Fractional Chaotic

Chao Chen, Hongying Zhang, Bin Wu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: fractional derivative; Arnold Transform; XOR involving fractional order chaotic sequence; encryption and decryption

Online: 16 December 2021 (11:52:50 CET)

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Preprint REVIEW | doi:10.20944/preprints202310.0870.v1

Image Inpainting Forgery Detection: A Review

Adrian-Alin Barglazan, Remus Brad, Constantin Constantinescu

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: image inpainting object removal detection forensic forgery

Online: 13 October 2023 (08:25:14 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202007.0237.v1

Independent Component Analysis Data Processing Framework for Polarimetric Synthetic Aperture Radar Images

Gabriel Vasile

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Independent Component Analysis; PolSAR; speckle filtering; statistical classification

Online: 11 July 2020 (09:49:37 CEST)

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Preprint ARTICLE | doi:10.20944/preprints202105.0176.v1

A Graphical Based Video Steganography

Samir Bandyopadhyay, Payal Bose, Vishal Goyel

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: Video Steganography, Least Significant Bit (LSB) Coding, Double key Encryption, Decryption, Password Verification, Signature Verification

Online: 10 May 2021 (11:21:29 CEST)

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Preprint REVIEW | doi:10.20944/preprints202311.0197.v1

A Systematic Review of Recent Deep Learning Approaches for 3D Human Pose Estimation

Amal EL KAID, Karim BAÏNA

Subject: Computer Science And Mathematics, Computer Vision And Graphics Keywords: 3D human pose estimation; systematic literature survey; deep learning based methods

Online: 3 November 2023 (03:48:59 CET)

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Computer Science and Mathematics