Data Science and Applications : Proceedings of ICDSA 2025, Volume 5 / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Mukesh Prasad, Mukesh Saraswat.

Format:

Book

Author/Creator:

Nanda, Satyasai Jagannath.

Contributor:

Nanda

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1741

Language:

English

Subjects (All):

Computational intelligence.

Data mining.

Cooperating objects (Computer systems).

Internet of things.

Computational Intelligence.

Data Mining and Knowledge Discovery.

Cyber-Physical Systems.

Internet of Things.

Local Subjects:

Computational Intelligence.

Data Mining and Knowledge Discovery.

Cyber-Physical Systems.

Internet of Things.

Physical Description:

1 online resource (661 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

This book gathers outstanding papers presented at the 6th International Conference on Data Science and Applications (ICDSA 2025), organized by Soft Computing Research Society (SCRS) and Malaviya National Institute of Technology Jaipur, India, from 16 to 18 July 2025. The book is divided into eight 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.

Contents:

Machine Learning–Based Prediction of MRP Process Runtime and Memory Usage for Scalable Business Operations

Crop Yield Prediction of Indian States based on Machine Learning and Feature Engineering

Heart Disease Prediction using Machine Learning: A Comparative Approach on CHSLB and Cleveland Datasets with Advanced Modeling Techniques

Extensive Analysis of Electric Vehicles: Battery Management Systems, Machine Learning Strategies to Prevent Thermal Runaway for Improved Safety and Performance

Analysis of Security Vulnerabilities in OSS For Predicting Diabetes using OWASP ZAP

A SEM–Neural Network Approach to Predict Customers Intention to Purchase Battery Electric Vehicles in the Bangalore

Automating Court Judgement Prediction and Explanation for Indian Legal Cases

Deep Learning-Driven Real Time Video Summarization with Temporal Modeling and Attention Mechanism

Integrated Monitoring System for Railway Wagon Coal Load Tracking: Sensor-Based Detection and Real-Time Notification

Emotion Recognition from ECG Signals using Deep Neural Networks

Brain Tumor Survival Prediction using MRI Segmentation and Autoencoder Features

Analysis of Conventional vs Machine Learning Models for Decision-Making in Logistics based on Uncertainty Quantification.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-12827-7

9783032128270

OCLC:

1572115501