This book constitutes the refereed proceedings of the 7th International Conference on Advances in Computing and Data Sciences, ICACDS 2023, held in Kolkata, India, during April 2728, 2023.
The 47 full papers included in this book were carefully reviewed and selected from 22 submissions. The papers focus on advances of next generation computing technologies in the areas of advanced computing and data sciences.
Text based Traffic Signboard Detection using YOLO v7
Architecture.- Energy Preserving ABE-based Data Security Scheme for Fog
Computing.- An Approach for Effective Object Detection.- An Algorithm for
solving two variable linear diophantine equations.- Deep Watcher: A
Surveillance System using Deep Learning for the COVID-19 Pandemic.- Multiple
linear regression based analysis of weather data for precipitation and
visibility prediction.- Optimal and Event Driven Adaptive Fault Diagnosis for
Arbitrary Network.- Analysis of Routing in IoT.- Autism children Behavioural
Identification from Facial Regions through Thermal Image
interpretations.- Synthesis of Elementary Cellular Automata for Targeted
Cache Applications.- Optimal Perfect Phylogeny using ILP and Continuous
Approximations.- A Novel Method for Near-Duplicate Image Detection Using
Global Features.- VSMAS2HN: Verifiably Secure Mutual Authentication Scheme
for Smart HealthcareNetwork.- Optimal KAZE and AKAZE Features for Facial
Similarity Matching.- Modified InceptionV3 using Soft Attention for the
Grading of Diabetic Retinopathy.- Comprehensive Study of Cyber Security in AI
Based Smart Grid.- Sentiment classification of Diabetes-related tweets using
transformer-based deep learning approach.- Assessment and prediction of a
cyclonic event: A Deep learning model.- Technology enabled Self-directed
learning: A review and framework.- Detecting Toxic comments using FastText,
CNN, and LSTM models.- UEye: Insights on User Interface Design using Eye
Movement Visualizations.- Code Mixed Information Retrieval for Gujarati
Script News Articles.- Plant Disease classification using VGG-19 based
Faster-RCNN.- Classification of Real and Deepfakes visual samples with
pre-trained deep learning models.- Deep Learning based Speech Synthesis with
Emotion Overlay.- An Ensemble Deep Learning Algorithm to Predict PM2.5
Concentration Levels in Bengaluru's Atmosphere.- Deep learning model based on
a Transformers network for sentiment analysis using NLP in sports
worldwide.- An Effective Framework for Sentiment Analysis using RNN and
LSTM-based Deep Learning Approaches.- Spatial Domain Method for Image
Analysis: A Grey-Level Computation Approach.- Crop yield prediction for smart
agriculture with climatic parameters using Random Forest.- Implementation of
XGBoost Regression for Calories Burnt Prediction using R.- Text Data
Augmentation Using Generative Adversarial Networks, Back Translation and
EDA.- Machine Learning-Based Temperature Monitoring and Prediction.- Pathrank
Algorithm: Ranking Proteins in Mycobacterium tuberculosis and Human PPI
Weighted Bipartite Graph Network.- Circ RNA based Classification of SARS
CoV-2, SARS CoV-1 and MERS-CoV using Machine Learning.- Ensemble Approach to
Classify Spam SMS from.- A Scientific Study for Breast Cancer Detection Using
Various Machine Learning Algorithms.- YOLO based segmentation and CNN based
classification Framework for epithelial and pus cell detection.- Employing a
Novel Metaheuristic Algorithm to Optimize an LSTM Model: A Case Study of
Stock Market Prediction.- Driver Dozy Discernment using Neural Networks with
SVM Variants.- An Efficient (MFFPA-2) Multiple Fuzzy Frequent Patterns Mining
with Adjacency matrix and Type-2 Member function.- Student Personality,
Motivation and Sustainability of Technology Enhanced Learning: A SEM-based
Approach.- Spear Phishing Using Machine Learning.- An Interpretable Deep
Learning model for Skin Lesion Classification.- Unsupervised Ambient
Vibration-Based Feature Extraction for Structural Damage Detection.- A New
Grey Correlational Compromise Ranking Approach for Portfolio Selection for
Investment in ESG Stocks.- Decision Tree based Test Case Generation using
Story Board and Natural Language Processing.