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Data Science and Applications : Proceedings of ICDSA 2025, Volume 2 / 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.
Contributor:
Yadav, Rajendra Prasad.
Prasad, Mukesh.
Saraswat, Mukesh.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1722
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 (643 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:
Leveraging NLP features for Multi-Class Protein Sequence Classification using Machine Learning and Deep Learning Models
Improving Secure Multi-Party Computation and Blockchain-Enhanced Data Sharing for Financial Services in Mobile Cloud Environments
AI Enabled IoT-Based Crop Protection System With AI-Driven Animal Detection and Water Management
Adaptive Honeypot Framework for Organizational Threat Detection with AWS Integration
An Efficient Location Determination for Mobile Sensor Nodes using Hybrid DA-FA Optimization Technique
Image Restoration via Atmospheric Scattering Models and Deep Learning Techniques
Enhancing Legal Text Classification in the Indian Judiciary using Transformer Models and Legal-BERT
Enhanced Detection of Diabetic Retinopathy Severity using the NASNetLarge Model
Hybrid Generative AI Framework for Multilingual Text Summarization in Indian Languages
Hybrid Quantum and Deep Learning Classifiers for Voice Disorder Identification
Low-Complexity Asymmetric Image Encryption via Gyrator–Fresnel Transforms and Digital Holography
FedCarbonNet - An AI-Blockchain-IoT Framework for Carbon Footprint Management and Optimization
Federated Learning Approach for Addressing Ethical Issues in AI
H-ADNET: Aerial Image Based Scene Identification with Hyper Parameter Optimization in Deep Convolutional Networks
Foundational Framework for Integrated Detection of Cardiovascular and Lung Diseases Using Multimodal Deep Learning.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-10756-3
9783032107565
OCLC:
1569190309

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