Methods and Applications of Artificial Intelligence


Dynamic Response, Learning, Random Forest, Linear Regression, Interoperability, Additive Manufacturing and Mechatronics


Volume 2 - Artificial Intelligence in Mechanics SET by Abdelkhalak El Hami

Methods and Applications of Artificial Intelligence

Edited by

Abdelkhalak El Hami, INSA Rouen Normandie, France.


ISBN : 9781786309990

Publication Date : February 2025

Hardcover 250 pp

165.00 USD

Co-publisher

Description


Artificial Intelligence (AI) is currently one of the most talked-about technologies, both among scientists and in public media. Several factors have contributed to its development in recent years. The first is access to vast quantities of data, such as in the industrial field, the advent of Industry 4.0, which promotes automation and data sharing in several technologies. Another factor is the continuous improvement in computing power thanks to the development of ever more powerful processors and the optimization of algorithms. With these two limitations removed, the focus of most AI developments is on the quality of predictions. The integration of AI into the industrial domain represents an exciting new frontier for innovation.

Just as AI has transformed many other sectors, its application to mechanical technologies enables significant improvements in design, manufacturing and quality control processes: from computer-aided design (CAD) to printing parameter optimization, defect detection and real-time monitoring. This type of technology requires computer systems, data with management systems and advanced algorithms which can be used by AIs.

In mechanical engineering, AI offers many possibilities in mechanical construction, predictive maintenance, plant monitoring, robotics, additive manufacturing, materials, vibration, etc.

Methods and Applications of Artificial Intelligence is dedicated to the methods and applications of AI in mechanical engineering. Each chapter clearly sets out the techniques used and developed and accompanies them with illustrative examples. The book is aimed at students but is also a valuable resource for practicing engineers and research lecturers.

Contents


1. Dynamic of PP-GF70 Using an Intelligent Method, Abdelilah Elbazze and Bouchaib Radi.
2. AI Integration into Additive Manufacturing, Adnane Zoubeir, Bouchaib Radi and Abdelkhalak El Hami.
3. Optimization of BGA Components under Real Service Conditions, Sinda Ghenam, Abdelkhalak El Hami, Wajih Gafsi, Ali Akroun and Mohamed Haddar.
4. Electronic Toll Collection in the Age of Connected Vehicles, Adnane Cabani and Houcine Chafouk.
5. At the Core of Artificial Intelligence: Leveraging Machine Learning through Random Forest, Anas El Attaoui, Younes Koulou and Norelislam El Hami.
6. Linear Regression and Application to Artificial Intelligence, Sara Rhouas, Norelislam El Hami and Younes Koulou.
7. Machine Learning and Artificial Intelligence with XGBoost Algorithm for Binary Classification, Hakima Reddad, Maria Zemzami, Norelislam El Hami and Nabil Hmina.
8. Application of Interoperability to Intelligent System of Systems, Younes Koulou, Norelislam El Hami, Anas El Attaoui and Sara Rhouas.

About the authors/editors


Abdelkhalak El Hami is a university professor at INSA Rouen Normandie, France. He is the author/co-author of over sixty books and is responsible for several European educational and/or research projects. He is a specialist in the optimization, reliability and AI of multiphysical systems.