Data Science and Applications : Proceedings of ICDSA 2025, Volume 1 / edited by Rajendra Prasad Yadav, Satyasai Jagannath Nanda, Mukesh Prasad, Mukesh Saraswat.

Format:

Book

Author/Creator:

Yadav, Rajendra Prasad.

Contributor:

Yadav

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1721

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 (619 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:

Emerging Threats and Mitigation Strategies in Biometric Authentication Systems

Predicting the Effectiveness of B2B Marketing Strategies using Deep Learning: A Multi-Target Regression and Classification Approach

Machine Learning Based Feature Extraction and Stress Detection using Different Dataset

IoT-based Smart Grid: Architecture, Security Challenges and Mitigations

An IoT-Enabled Multi-Agent Framework for Real-Time Emergency Monitoring: A Context-Aware Approach

CSRANet A Deep Supervised Residual Attention Model for Coronary Stenosis Detection

Swin-SAINT: A Hybrid Transformer Framework for Multi-Modal Skin Cancer Detection using Structured Metadata and Dermoscopic Images

Advanced Tuberculosis Detection and Treatment Optimization using Moth Search Algorithm with Stacked Decision Tree Structures

IDCNN: Efficient Multi-Class Intrusion Detection on Imbalanced Data in Software Defined Network

Personalized Drug Recommendation using ClinicalBERT-Augmented Graph Neural Networks

Combatting Political Fake News: Detection & Prevention of Disinformation on Social Media with Generative AI

Secure Anomaly Detection for Electric Vehicle Batteries: A Hybrid Federated Split Learning Approach

Adaptive and Interactive Learning using LLMs and Machine Learning Models for English Mastery- Interactive English Mastery

ARUNet6L: A Deep Learning Based Hybrid U-Net Model Integrated with Attention and Residual Connection for Optimizing Image Segmentation of Mitochondria

Gesture Synthesis for Sign Language using Generative Adversarial Networks.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-032-10753-9

9783032107534

OCLC:

1572116740