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Data Science and Security : Proceedings of IDSCS 2024, Volume 2 / edited by Samiksha Shukla, Hiroki Sayama, Kapil Tiwari, Joseph Varghese Kureethara.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Shukla, Samiksha.
Contributor:
Sayama, Hiroki.
Tivārī, Kapila.
Kureethara, Joseph Varghese.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1355
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Data structures (Computer science).
Information theory.
Data protection.
Computer networks--Security measures.
Computer networks.
Computational Intelligence.
Artificial Intelligence.
Data Structures and Information Theory.
Data and Information Security.
Mobile and Network Security.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Data Structures and Information Theory.
Data and Information Security.
Mobile and Network Security.
Physical Description:
1 online resource (472 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2024), hosted by Christ (Deemed to be University), India, and technically sponsored by The Tejas Scientific Researcher Foundation, India, from 08–09 November, 2024. The book targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.
Contents:
Microsatellite Magnetic Cleanliness Based on Geometric Inverse Magneto Static Problem Solution
An Intelligent Spam Email Detection System using Machine Learning
Design and Development of Sustainable Apiculture Monitoring System by using AI&ML
Leveraging Agentic Rag to Improve Contextual Understanding and Reduce Hallucinations in Large Language Models
American Sign Language Recognition Using Yolo-Nas.
ISBN:
981-9648-83-1
OCLC:
1528356485

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