Advances in Computing and Data Sciences

Vision Applications.- Optimal Sizing and Siting of Multiple Dispersed Generation System using Metaheuristic Algorithm.- Design of a Fused Triple Convolutional Neural Network for Malware Detection: A Visual Classification Approach.- Mobile Agent Security using Lagrange Interpolation with Multilayer Perception Neural Network.- Performance Analysis of Channel coding techniques for 5G networks.- An Ensemble Learning Approach for Software Defect Prediction in Developing Quality Software Product.- A Study on Energy-Aware Virtual Machine Consolidation Policies in Cloud Data Centers using Cloudsim Toolkit.- Predicting Insomnia Using Multilayer Stacked Ensemble Model. - A novel encryption scheme based on Fully Homomorphic Encryption and RR-AES along with privacy preservation for vehicular network.- Key-Based Decoding for Coded Modulation Schemes in the presence of ISI.- Optimizing the Performance of KNN Classifier for Human Activity Recognition.- Face Recognition with Disguise and makeupVariations Using Image Processing and Machine Learning.- Attention-based deep Fusion Network for Retinal Lesion Segmentation in Fundus Image.- Visibility improvement in hazy conditions via a deep learning based image fusion approach.- Performance of Reinforcement Learning Simulation: x86 v/s ARM.- A Performance Study of Probabilistic Possibilistic Fuzzy C-Means Clustering Algorithm.- Optimized Random Forest Algorithm with Parameter Tuning for Predicting Heart Disease.- Machine Learning Based Techniques for Detection of Renal Calculi in Ultrasound Images.- Unsupervised Change Detection in Remote Sensing Images Using CNN Based Transfer Learning.- Biological Sequence Embedding based Classification for MERS and SARS.- Supply Path Optimization in Video Advertising Landscape.- Stack-based CNN Approach to Covid-19 Detection.- Performance Analysis of Various Classifiers for Social Intimidating Activities Detection.- Technique for Enhancing the efficiency and security of lightweight IoT devices.- Performance Improvement in Deep Learning Architecture for Phonocardiogram Signal Classification using Spectrogram.- Performance Analysis of Machine Learning Techniques in Device Free Localization in Indoor Environment.- D-Leach: An Energy Optimized Deterministic Sub-clustering and Multi-hop Routing Protocol for Wireless Sensor Networks.- Robust Image Watermarking Using Support Vector Machine and Multi-Objective Particle Swarm Optimization.- Generalized Intuitionistic Fuzzy Entropy on IFMARCOS Technique and its Application in Multi-Criteria Decision Making.- Feature Selection in Machine Learning by Hybrid Sine Cosine Metaheuristics.- Rainfall Prediction using Logistic Regression and Support Vector Regression Algorithms.- Collaborative Recommender System (CRS) using optimized SGD - ALS.- Violence Detection from CCTV Footage using Optical Flow and Deep Learning in inconsistent weather and lighting conditions.- Speech based Multiple Emotion Classification model using Deep Learning.- A Legal-Relationship Establishment in Smart Contracts: Ontological Semantics for Programming-Language Development.- Aspect Based Sentiment Analysis - An Incremental Model Learning Approach Using LSTM-RNN.- Cloud based Exon Prediction using Maximum Error Normalized Logarithmic Algorithms.- Unsupervised Learning of Visual Representations via Rotation and Future Frame Prediction for Video Retrieval.- Application of Deep Learning in Classification of Encrypted Images.- Ear Recognition Using Pretrained Convolutional Neural Networks.- An Adaptive Service Placement Framework in Fog Computing Environment.- Efficient Ink Mismatch Detection Using Supervised Approach.