E-raamat: Machine Learning and Big Data Analytics: 2nd International Conference on Machine Learning and Big Data Analytics-ICMLBDA, IIT Patna, India, March 2022

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.