Machine Learning and Big Data Analytics

Preface.- A Comprehensive analysis on Mobile Edge Computing: joint offloading and resource allocation perspective.- Finding Significant Project Issues with Machine Learning.- Prediction of Heart Disease using various Data Analysis and Machine learning Techniques.- Artificial Intelligence: Recent Trends, Opportunities and Challenges in Real-World Scenarios.- Bilingual documents text line extraction using Conditional GANs.- Performance Comparison of YOLO Variants for Object Detection in Drone Based Imagery.- A Microservice Architecture with Load Balancing Mechanism in Cloud Environment.- An IoT Application for Detection and Monitoring of Manhole.- Resource Allocation in 5G & Beyond Edge-Slice Networking using Deep Reinforcement Learning.- The Important Influencing Factors in Machine Translation.- Damaged units return Investigation in Printer producing Industry utilizing Big Data.- Colorization of Grayscale Images: An Overview.- Evolutionary Approaches Towards Traditional to Deep Learning Based Chatbot.- Analysis of Machine Learning Algorithms for Detection of Cyber Bullying on Social Networks.- Sentiment Analysis of Political Tweets for Israel using Machine Learning.- A Novel Approach for Real-time Vehicle Re-identification using Content-based Image Retrieval with Relevance Feedback.- Extractive and Abstractive Text Summarization Model fine-tuned based on BERTSUM and Bio-BERT on COVID-19 Open Research Articles.- RevCode for NLP in Indian Languages.- Application for Mood Detection of Students Using TensorFlow and Electron JS.- By Using CNN Technique and Webcam to Identify Face Mask Violation.- A Review on Internet of Things based Cloud Architecture and Its Application.- Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods.- HRescue: A Modern ML approach for Employee Attrition Prediction.- Using Machine Learning to Detect Botnets in Network Traffic.- Reducing Peak Electricity Demands of a Cluster of Buildings with Multi-agent Reinforcement Learning.- Virus Texture Classification using Genetic Algorithm and Pre-trained Convolutional Neural Networks.- Fog Computing enabled Internet of Things for resource optimization.- Network Media Content Model in the era of Smaft Devices.- Sentimental Analysis of Stock Market via Twitter.- Detection and Classification of Tumor Tissues in Colorectal Cancer using Pathology Images.- Challenges encountered in the implementation of machine learning in the healthcare industry.- Performance Evaluation of Deep Learning Architectures for Recognition of Moisture in Dried Coconut Copra.- Training Generative Adversarial Networks(GANs) over Parameter Server and Worker Node Architecture.- Handwritten Digit Recognition using Neural Network with Gabor Filter for Information Fusion.- FAFOC: Fog Based Energy Efficient Clustering Technique for Wireless Sensor Networks.- Evaluation of Supervised Classifiers for Fake News Detection using Twitter Dataset.- Analysis of Pest Recognition using Lightweight CNN.- Early Prediction of Alzheimer Disease Using Ensemble Learning Models.- Cattle Identification from Muzzle Print Image Pattern Using Hybrid Feature Descriptors and SVM.- Evaluate and Detection of Breast Cancer using Data Mining Models.- Lung Cancer Disease Prediction Using Machine Learning Techniques.- Video to Text Generation Using Sentence Vector and Skip Connections.- Machine Learning Techniques for COVID-19 pandemic updates for Analysis, Visualization and Prediction system.- Design and CFD Analysis of Drone Thrust with Duct.- Index.