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Artificial Intelligence and Green Computing : Proceedings of the 2nd International Conference on Artificial Intelligence and Green Computing ICAIGC 2025 / edited by Najlae Idrissi, Abdellatif Hair, Mohamed Lazaar, Youssef Saadi, Houda Chakib, Mohammed Erritali, Said El Kafhali.

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

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Format:
Book
Author/Creator:
Idrissi, Najlae.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1589
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Engineering--Data processing.
Engineering.
Computational Intelligence.
Artificial Intelligence.
Data Engineering.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Data Engineering.
Physical Description:
1 online resource (0 pages)
Edition:
1st ed. 2026.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
Summary:
This book gathers high-quality, peer-reviewed research papers presented at the 2nd edition of the International Conference on Artificial Intelligence and Green Computing (ICAIGC 2025), organized by the Data Intelligence and Cloud Computing Team, Data4Earth Laboratory, Beni Mellal, Morocco, from May 14–16, 2025. This book offers a rich compilation of current research and applied insights from 41 research papers presented during the ICAIGC 2025 conference. It aims to enhance understanding the pivotal role and the transformative impact of the artificial intelligence across diverse domains. Designed for academics, professionals alike and all AI enthusiast and practitioner, this book explores how AI-driven solutions can address sustainability challenges and drive technological progress. As a result, the book is organized into four thematic sections that reflect the diverse applications of AI: AI for multimedia processing, AI for distributed computing, AI for green computing, and AI applications.
Contents:
Machine Learning Algorithms and Image Processing Based Smart Parking System Using IoT
Transfer Learning-Based Method with Extreme Gradient Boost Classifier for Surface Defect Classification of Hot-Rolled Steel Strips
Breast Cancer Detection using Histopathological Images and Machine Learning
Performance Analysis of Computed Tomography Using the Scale-Space Radon Transform.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
3-032-02312-2
9783032023124
OCLC:
1551398474

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