Data Science and Applications: Proceedings of ICDSA 2023, Volume 4

This book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2023), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 14 to 15 July 2023. The book is divided into four volumes, and it covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.

Table of Contents:
Crop Classification Using Deep Learning on Time Series SAR Images:  A Survey.- Improvement of the Teaching-Learning Process using Feature-Driven Opinion Mining of Stakeholders Comments.- Safeguarding Privacy and Security in the Internet of Vehicles: Current and Emerging Strategies.- Two Factor Authentication for Internet of Drones using PUF and Blockchain.- REXOBOT- Simplifying Rescue Operations using Arduino.- Design and analysis of a dual-band wearable antenna integrated with an AMC reflector for biomedical applications.- An optimized approach for Sarcasm Detection using Machine learning Classifier.- Medical Image segmentation Using Deep Learning Method.- Implementation of Solar Array Integration with PID & MPPT(P&O) Incorporating Input Variations.- Cemetery Allocation Management System Using Ethereum Blockchain.- An Efficient Predictive Resource Analysis using Deep Dyna Q-based VARMA LSTM Model for Fluctuating Cloud Workloads.- SIW based H-plane dual horn radiator for next generation wireless communication.- RNN based model predictive control of multi agent system using switching topologies.- LDCCAES: A Concomitant Perception Methodology Facilitating Real-Time Detection and Estimation of Medifan-Lane Positioning for Prototype Autonomous Vehicle.- Enhancing Federated Learning Performance for IoT Anomaly Detection under Label-Skewed Data.- Panel Data Analysis to Investigate Factors Influencing Profitability: Empirical Study on Indian Oil and Gas Companies.- Predictive Modeling for Marketing Strategies: A Case Study of a Superstore’s Gold Membership Offer using Advanced Analytics and Machine Learning Techniques.- Design and Development of energy harvesting system for wireless local area Network.- Hybrid Principal Component Analysis Using Boosting Classification Techniques: Categorical Boosting.- Moth swarm algorithm with centre-based sampling technique for the optimal operation of a hybrid power system incorporating static synchronous compensator.- Land use andland Change detection of the eco system by processing Sentinel images.- An Enhanced Laryngeal Tissue Classification Model Using Deep Learning Techniques.- Machine Learning-based Detection of API Security Attacks.- A Comparative Study on End-to-End Learning for Self-Driving Cars.- Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches .- Enhancing Anonymity of Internet of Vehicle Identities in Connected Vehicle Security Services Using Batch Verification Algorithm.- A Deep Learning based Framework for Android Malware Family Classification.- iCardo 3.0: A Machine Learning Framework for Prediction of Conduction Disturbance in Heart.- ANDROID-BASED MALARIA DETECTION USING DEEP LEARNING.- Recuperating Image Captioning with Genetic Algorithm and Red Deer Optimization: A Comparative Study.- A Radial Basis Function Neural Network trained with Aquila Optimizer for Solving Inverse Modeling Problems.- Future Generation Elastic Optical Networks: A State-of-Art Review.- Empirical analysis on fake news detection using feature extraction & feature optimization techniques.- Enhancing the Performance of Heart Disease Prediction Models with Ensemble Learning.- Towards a Person-Job-Fit Recruitment: Job Prediction with Deep Neural Networks based on Various Pre-trained Models.- Hyperparameter Optimization of Machine Learning Models using grid search for Amazon Review Sentiment Analysis.- Towards the testbed and dataset for analysis of water treatment systems security.- Accurate Prediction of Stage of Hepatitis C Virus through a Stacking Ensemble.- Alzheimer Brain Imaging Dataset Augmentation using Wasserstein Generative Adversarial Network.- FireNet-Tiny: Very-Low Parameter Count High Performance Fire Detection Model.- 2D Medical Image Segmentation.