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Fifth Congress on Intelligent Systems : CIS 2024, Volume 1 / edited by Sandeep Kumar, E. A. Mary Anita, Joong Hoon Kim, Atulya Nagar.

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

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Format:
Book
Contributor:
Kumar, Sandeep, Editor.
Mary Anita, E. A., Editor.
Kim, Joong Hoon, Editor.
Nagar, Atulya., Editor.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1275
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Robotics.
Computational Intelligence.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Robotics.
Physical Description:
1 online resource (XXVI, 693 p. 327 illus., 297 illus. in color.)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
This book is a collection of selected papers presented at the Fifth Congress on Intelligent Systems (CIS 2024), organized by CHRIST (Deemed to be University), Bangalore, India, under the technical sponsorship of the Soft Computing Research Society, India, during September 4–5, 2024. The book covers high-quality research articles in the fields of soft computing, machine vision, robotics, computational intelligence, artificial intelligence, signal and image processing, data science techniques, and their real-world applications which are some of the recent advancements in the real-world technologies.
Contents:
Chapter 1: A Hybrid Framework for Secure and Scalable Healthcare: Integrating Blockchain, IoT, and Cloud Computing
Chapter 2: Provisioning Linear Convolutional Network Model Based Image Denoising Model for Covid Prediction Using X-Ray Images
Chapter 3: Implementation of Multiclass Strategies for Support Vector Machine to Predict Self-efficacy of a Learner
Chapter 4: A fuzzy-AHP Approach to Evaluation of Value Addition in the Indian Medical Equipment Supply Chain
Chapter 5: Large Language Models for Table Content Extraction from Annual Reports
Chapter 6: Integrating Reinforcement Learning into Software Defined Networks for Adaptive Bandwidth Allocation in Universities: A Bandit-Based Approach
Chapter 7: Driving Sustainable Development Goals: Ensemble Classification for Efficient Industrial Machinery Predictive Maintenance
Chapter 8: A Novel Machine Learning Ensemble Algorithm to Predict Occurrence Of Cancer
Chapter 9: Design and Analysis of Ant Colony Optimization for Tuning Fractional-Order PID Controllers in Time-Delay Systems
Chapter 10: CityCommute: A Car Pooling System for Ease of Transport in Metro Cities using Reinforcement Learning
etc.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9626-94-3
OCLC:
1521302124

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