Inventory Optimization Using Data Science Technologies for Supply Chain 4.0

Emna Bouazizi,Ayman Khedr,Sherin Elfaioumy,Mohamed Belal

#Supply chain 4.0 #inventory management #regression algorithm #optimization

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

Evaluation of Emission Reduction Performance of Power Enterprises Based on Least Squares Support Vector Machine

Wanqing Zhang,Ruohan Huang,Luwei Ye

#Power generation enterprise #evaluation indicators #least squares support vector machine #Lion swarm optimization algorithm #chaos theory

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

A Novel Adaptive ANC Algorithm for Removal of Background Noise in Speech Applications

Vinothkumar.G,Manoj Kumar.D

#ANC #FxNLMS #NIHL #speech enhancement #background noise cancellation #MSE #SNRi #PESQ and STOI

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

Machine Learning Driven Threat Identification to Enhance FANET Security using Genetic Algorithm

Shikha Gupta,Neetu Sharma

#FANET #threats #genetic #trust #reputation #network reliability #machine learning

Gesture Recognition Technology of VR Piano Playing Teaching Game based on Hidden Markov Model

Min Zeng

#HMM #piano performance #gesture recognition #SMA #VR technology

The Strategy of Discriminating False Comments on the Internet by Fusing Probabilistic Topic and Word Vector Models

Fei Long

#Probabilistic topics #word vectors #online reviews #false detection #CNN

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

Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)

Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi

#Time series forecasting #shoulder area #turning point #knowledge discovery #surprise #uncertainty

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

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

Praveen Dhulavvagol,Sashikumar Totad,Atrey Anagal

#Blockchain #sharding #ethereum #base64 #IPFS

Turning Point Induced Knowledge Forecasting under Uncertainties (TrIK)

Jagtap Vinyak,Kulkarni Parag,Joshi Pallavi

#Time series forecasting #shoulder area #turning point #knowledge discovery #surprise #uncertainty

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

A Dual-Objective Approach for Allocation of Virtual Machine with improved Job Scheduling in Cloud Computing

Sandeep Sutar,Manjunathswamy Byranahallieraiah,Kumarswamy Shivashankaraiah

#Cloud computing #job scheduling #VM scheduling #cost optimization #energy utilization #dual objectives

Enhancing Security in Cloud-Based VM Migration: A Trust-Centric Hybrid Optimization Approach

Gokul Narayanan,Saravanaguru Kannan

#Virtual machine #migration #downtime #migration time #security #optimization algorithm #gorilla-based shuffled shepherd optimization approach