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Data Science and Applications : Proceedings of ICDSA 2025, Volume 8 / edited by Satyasai Jagannath Nanda, Rajendra Prasad Yadav, Mukesh Prasad, Mukesh Saraswat.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Nanda, Satyasai Jagannath.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1797
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 (439 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. This 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:
Enhanced AI-Powered Chat Summarization with Semantic Analysis and Context-Aware Response Suggestions
Secure and Efficient Log Management using Cryptographic Access Control
Analysis of Protocols over Twisted Dihedral Group Rings
Identification of Speech Emotion from Audio using Deep Learning Models
Comparative Analysis of Feature Importance and Correlation of Soil Components in Maize Cultivation Using Machine Learning
Non-linear Statistical Models for Air Blast Characteristics of Aluminized Explosive
Development of an Integrated Healthcare Resource Management System for Efficient Emergency Response
Evaluation Strategies for Reinforcement Learning Agents in Diverse Simulation Environments
DeepDX: A Deep Learning Framework for Pulmonary Disease Detection
Development of a Sensor-Integrated Smart Tennis Racket for Real-Time Impact Localization, Swing Analysis, and Shot Classification using Machine Learning.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-15410-3
9783032154101
OCLC:
1573146046

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