Artificial intelligence, machine learning and intelligent systems ICAMS-2025, Hamirpur, India, February 7-8 Kusum Deep, Millie Pant, Mohammad Khalid Pandit, Naveen Chauhan, Ajay Kumar Mallick, editors

Format:

Book

Conference/Event

Contributor:

Deep, Kusum, editor.

Pant, Millie, 1979- editor.

Pandit, Mohammad Khalid, editor.

Chauhan, Naveen, editor.

Mallick, Ajay Kumar, editor.

Conference Name:

International Conference on Artificial Intelligence, Machine Learning and Intelligent Systems (2nd : 2025 : Hamirpur, India)

Series:

Springer proceedings in mathematics & statistics ; 2194-1017 v.520

Springer Proceedings in Mathematics & Statistics 2194-1017 volume 520

Language:

English

Subjects (All):

Artificial intelligence--Congresses.

Artificial intelligence.

Physical Description:

1 online resource

Other Title:

ICAMS-2025

Place of Publication:

Singapore Springer 2026

Summary:

This proceedings volume is a collection of 35 chapters presented at the Second International Conference on Artificial Intelligence, Machine Learning and Intelligent Systems (ICAMS-2025), held at the National Institute of Technology Hamirpur, Himachal Pradesh, India, from 7-8 February 2025. It gathers chapters on artificial intelligence, machine learning and intelligence systems. The book discusses how artificial intelligence, machine learning and intelligent systems are revolutionizing engineering and commercial practices through applications of mathematics. Covering diverse topics such as facial recognition security, cryptocurrency and blockchain technologies, automated trading, sustainable inventory management, personalized recommendation systems and IoT-driven smart solutions, the book highlights both theoretical advancements and practical implementations of mathematics across a wide range of disciplines

Contents:

Chapter 1. Real-time Unconscious Human Behavior Detection Incorporating Enhanced CSPDarknet53 and YOLOv9

Chapter 2. Exploring Machine Learning and IoT Technologies for Disease Detection in Cows: A Systematic Review

Chapter 3. Hybrid Butter Flower Algorithm

Chapter 4. HEAVY-SARS: Harnessing Explainable AI and Generative Models for Visual Synthetic Data Generation of SARS-CoV-2

Chapter 5. Infected Hyena Optimizer: A Novel Bio-inspired Metaheuristic Algorithm

Chapter 6. Socio-nomadic Learning Optimization

Chapter 7. Binary Tree-based Key Management Scheme for a Ground Station Managing IoT Devices in a Satellite Multicast Communication

Chapter 8. AI-driven Deterrence System Utilizing YOLO Algorithm for Real-time Wildlife Detection and Mitigation

Chapter 9. Adaptive Social Robot Navigation Using Vision-Language Models

Chapter 10. Egocentric Perception for Open Vocabulary Object Rearrangement

Chapter 11. Sentiment Analysis of Sarcastic Hindi Sentences: Analysis of SVM and XGBoost Models

Chapter 12. Enhanced Intrusion Detection for Cloud-integrated IoT Networks using Autoencoder-driven Unsupervised Deep Learning

Chapter 13. Segmentation-based Word Spotting in Handwritten Ayurveda Manuscripts using Siamese Convolutional Network

Chapter 14. AI-enhanced Pediatric Pneumonia Classification

Chapter 15. Anomaly Detection in Cryptocurrency Prices

Chapter 16. GEMNet: Gabor Enhanced Multiscale CNN for Breast Tumor Detection using Biorthogonal Wavelet Transform Features

Chapter 17. Enhanced Ensemble Learning and Feature Selection for Plant Disease Identification

Chapter 18. A Novel Review of Obstructive Sleep Apnea Detection using Photoplethysmography

Chapter 19. Early Detection of Ovarian Cancer from Histopathological Images using Deep Learning Models and Explainable AI

Chapter 20. Navigating Robot Paths: A Comparative Study of Ant Colony Optimization and Firefly Algorithm for Optimization

Chapter 21. Adaptive Brake Control for Sustaining Dynamic Stability of Autonomous Vehicles using Markov Decision Process

Chapter 22. Enhanced IoT Intrusion Detection: Leveraging Dense Autoencoders with Mahalanobis Distance and Gamma-based Thresholding

Chapter 23. Lidar Point Cloud Quality Assessment in Autonomous Vehicles using Deep Learning Techniques

Chapter 24. Effective Computer Vision Approach for Surveillance Systems to Detect Stone Crushers

Chapter 25. Enhancing PCOS Diagnosis with Hybrid ML: Integrating Ultrasound and Clinical Data

Chapter 26. DNA Splice Junction Prediction using Hybrid Approach of LSTM-GRU Model

Chapter 27. Machine Learning Techniques-based Predictive Modeling for Wind Speed Forecasting

Chapter 28. Unsupervised Fabric Defect Detection via Autoencoder Reconstruction and One-class SVM Analysis

Chapter 29. Predicting Mental Health Issues using Social Media Data: A Machine Learning Approach

Chapter 30. A Threat Monitoring and Control Unit for Secure Embedded Systems

Chapter 31. Quantum Steganography-based Least Significant Bit Algorithm for Confidential Data Communication

Chapter 32. A Survey on Securing the Future of Electric Vehicles and its Charging Stations

Chapter 33. Automatic Speech Recognition for Telugu Language using Pre-trained Wave2Vec 2.0 Model

Chapter 34. Secure Biological Data Transfer Using Network Coding

Chapter 35. MedSum: Medical Video Summarization using Reinforcement Learning

Notes:

Online resource; title from PDF title page (SpringerLink, viewed July 28, 2026)

Other Format:

Print version Deep, Kusum Artificial Intelligence, Machine Learning and Intelligent Systems

ISBN:

9789819538416

9819538416

OCLC:

1608635893

Access Restriction:

Restricted for use by site license