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.