Forecasting the Spread of Viral Diseases in Jordan Using the SARIMA Statistical Model

Shahed Al-khateeb

#Time series model #Jordan #prediction #diseases #forecasting model #sarimax #seasonal autoregressive integrated moving-average with exogenous regressors

Enhancing Session-Based Recommendations by Fusing Candidate Items

Yingjuan Sun,Wanhua Li,Jingqi Xing,Bangzuo Zhang,Dongbing Pu,Qian Liu,Yinghui Sun

#Recommendation systems #session-based recommendation #graph neural network #attention mechanism

English-Chinese Bilingual Teaching: A DECTMT-NBO-DMSFNN Approach for Design and Application of Machine Translation Technology

Yuwei Wang

#English #chinese #translation #text #language #communication #teaching #bilingual #vocabulary #learning #phrase

Cyberbullying Detection in Social Networks Using Deep Learning

Hayel Khafajeh

#Cyberbullying detection #deep learning #social networks #convolutional neural networks #long short-term memory #bidirectional encoder representations from transformers

Review of Agile SDLC for Big Data Analytics Systems in the Context of Small Organizations Using Scrum-XP

Gerardo Salazar-Salazar,Manuel Mora,Hector Duran-Limon,Francisco Alvarez-Rodriguez,Angel Munoz-Zavala

#Big data analytics systems #agile system development life cycle #Scrum-XP #CRISP-DM #TDSP and DDSL #small business

OntoDin: An Islamic Ontology of Quran and Hadith

Fairouz Bendjamaa,Nora Taleb

#Ontology engineering #semantic representation #protégé #religious texts

Canine Disease Prediction using Multi-Directional Intensity Proportional Pattern with Correlated Textural Neural Network

Ayesha Taranum,Jyoti Metan,Prasad Yogegowda,Chandrashekar Krishnappa

#Data optimization #pattern extraction in big data #multi-directional intensity proportional pattern #similarity measure system #correlated textural neural network #test prediction

Efficient Image Encryption via 2D Logistic Chaos Mapping: Strengthening Security with Pixel-Level Dynamics

Yuebo Wu,Shiwei Chu,Huifang Bao,Duansong Wang,Jian Zhou

#Image encryption algorithm #chaotic systems #pixel shifting #pixel scrambling

HYAQP: A Hybrid Meta-Heuristic Optimization Model for Air Quality Prediction Using Unsupervised Machine Learning Paradigms

Praveena Vasudevan,Chitra Ekambaram

#Meta-heuristic #unsupervised machine learning #hybrid optimization #optimized k-means #air quality prediction

Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality

Xiang Cheng,Pingping Zhang

#Football #progressive Wasserstein generative adversarial network #soccer training termite life cycle optimization #virtual reality

Arabic Text Detection on Traffic Panels in Natural Scenes

Houssem Turki,Mohamed Elleuch,Kamal Othman,Monji Kherallah

#Traffic panels #scene Arabic text detection #traffic textual information #Arabic scripts in the wild #deep learning

A Comprehensive Approach to Combat GPS Spoofing and Ensure Security Positioning in Autonomous Vehicles

Laid Kenioua,Brahim Lejdel,Mohamed Abdelhamid Nedioui

#Autonomous vehicles #positioning security #secure communication #semi-decentralized collaboration architecture #edge computing #data collection #consensus

RSO based Optimization of Random Forest Classifier for Fault Detection and Classification in Photovoltaic Arrays

Khaled Baradieh,Mohd Zainuri,Mohamed Kamari,Yushaizad Yusof,Huda Abdullah,Mohd Zaman,Mohd Zulkifley

#Classifier #diagnosis #fault classification #fault detection #machine learning #optimization #photovoltaic #pv #random forest

Bibliometric Analysis and Systematic Review of Research on Expert Finding: A PRISMA-guided Approach

Xuan-Lam Pham,Thi Thu Le

#Expert finding #expert finding systems #bibliometric analysis #systematic review #PRISMA methodology

Loitering Based Human Crime Detection in Video Surveillance using Beluga Whale Adam Dingo Optimizer and Deep Convolutional Neural Network

Nischita Waddenkery,Shridevi Soma

#Video surveillance #loitering behavior #human crime detection #enhanced euclidean distance #deep learning

SHARD-FEMF: Adaptive Forensic Evidence Management Framework using Blockchain Sharding and IPFS

Praveen Dhulavvagol,Sashikumar Totad,Atrey Anagal

#Blockchain #sharding #ethereum #base64 #IPFS

Achieving better Resource Utilization by Implementing a High-Performance Intelligent Framework in a Distributed Environment

Srinivasan Narayanasamy,MohanKumar Palanichamy,Selvam Lakshmanan,ArokiaRenjith Jerald

#Computational intelligence #scheduling #high-performance computing #resource utilization

Comparative Analysis of Intrusion Detection Models using Big Data Analytics and Machine Learning Techniques

Muyideen Ayodeji Alaketu,Abiodun Oguntimilehin,Kehinde Adebola Olatunji,Oluwatoyin Bunmi Abiola,Bukola Badeji-Ajisafe,Christiana Olanike Akinduyite,Stephen Eyitayo Obamiyi,Gbemisola Olutosin Babalola,Toyin Okebule

#Cyber intrusion #intrusion detection system #machine learning #deep learning #ensemble learning #classifications #big data analytics