Advances in Computing and Data Sciences: 5th International Conference, Icacds 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I » książka
An Energy-Efficient Hybrid Hierarchical Clustering Algorithm for Wireless Sensor Devices in IoT.- Fund Utilization under Parliament Local Development Scheme: Machine Learning base Approach.- Implementing Automatic Ontology Generation for the New Zealand Open Government Data: An Evaluative Approach.- Blockchain based Framework to Maintain Chain of Custody (CoC) in a Forensic Investigation. - A light SRGAN for Up-Scaling of Low Resolution and High Latency Images.- Energy Efficient Clustering Routing Protocol and ACO Algorithm in WSN.- Efficient Social Distancing Detection using Object Detection and Triangle Similarity.- Explaining a Black-Box Sentiment Analysis Model with Local Interpretable Model Diagnostics Explanation (LIME).- Spelling Checking and Error Corrector System for Marathi Language Text using Minimum Edit Distance Algorithm.- A Study on Morphological Analyser for Indian Languages : A Literature Perspective.- Cyber Safety Against Social Media Abusing.- Predictive Rood Pattern Search for Efficient Video Compression.- An Effective Approach For Classifying Acute Lymbphoblastic Luekemia Using Hybrid Hierarchial Classifiers.- Abnormal Blood Vessels Segmentation for Proliferative Diabetic Retinopathy Screening Using Convolutional Neural Network. - Predictive Programmatic Classification Model to Improve Ad-Campaign Click Through Rate.- Live stream processing techniques to assist unmanned, regulated railway crossings.- Most Significant Bit-Plane based Local Ternary Pattern for Biomedical Image Retrieval.- Facial Monitoring Using Gradient Based Approach.- Overlapped Circular Convolution based feature extraction algorithm for classification of high dimensional datasets.- Binary Decision Tree Based Packet Queuing Schema for Next Generation Firewall.- Automatic Tabla Stroke Source Separation Using Machine Learning.- Classification of Immunity Booster Medicinal Plants using CNN: A Deep Learning Approach.- Machine Learning Model Interpretability in NLP and Computer 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 makeup Variations 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.