E-grāmata: Advances in Computing and Data Sciences: 5th International Conference, ICACDS 2021, Nashik, India, April 23-24, 2021, Revised Selected Papers, Part I

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 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.