Proceedings of the 9th International Conference on Innovation in Artificial Intelligence

ICIAI 2025, March 13–15, Singapore

Éditeur :

Springer

Paru le : 2026-01-01

This book presents the papers from the 9th International Conference on Innovation in Artificial Intelligence (ICIAI 2025), held 13-15 March in Singapore. The topics covered include fields of mechatronics, robotics, control, and automation and all topics related to thermal fluids. Specifically, this ...
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À propos

Auteur

Éditeur

Collection
n.c

Parution
2026-01-01

Pages
517 pages

EAN papier
9789819508860

Auteur(s) du livre


Steven Guan (Sheng-Uei Guan) received his B.Sc. from Tsinghua University and M.Sc., Ph.D. from the University of North Carolina at Chapel Hill. He is currently a Professor at Xian Jiaotong-Liverpool University (XJTLU). He served the head of department position at XJTLU for 4.5 years, creating the department from scratch and now in shape. Before joining XJTLU, he was a tenured professor and chair in intelligent systems at Brunel University, UK. Prof. Guan has worked in a prestigious organization for several years, serving as a design engineer, project leader, and department manager. Later he joined the Electrical Computer Engineering Department at National University of Singapore as an associate professor for 8 years. Prof. Guan’s research interests include: machine learning, computational intelligence, big data analytics, mobile commerce, modeling, networking, personalization, security, coding theory, and pseudorandom number generation. He has published extensively in these areas, with 150+ journal papers and 210+ book chapters or conference papers. He has chaired, delivered keynote speech for 180+ international conferences and served in 190+ international conference committees and 30+ editorial boards. There are quite a few inventions from Prof. Guan including Generalized Minimum Distance Decoding for Majority Logic Decodable Codes, Prioritized Petri Nets, Self-Modifiable Color Petri Nets, Dynamic Petri Net Model for Iterative and Interactive Distributed Multimedia Presentation, Incremental Feature Learning, Ordered Incremental Input/Output Feature Learning, Input/Output Space Partitioning for Machine Learning, Recursive Supervised Learning, Reduced Pattern Training using Pattern Distributor, Contribution-Based Feature Selection, Incremental Genetic Algorithms, Incremental Multi-Objective Genetic Algorithms, Decremental Multi-objective Optimization, Multi-objective Optimization with Objective Replacement, Incremental Hyperplane Partitioning for Classification, etc.

Caractéristiques détaillées - droits

EAN PDF
9789819508877
Prix
294,34 €
Nombre pages copiables
5
Nombre pages imprimables
51
Taille du fichier
30433 Ko
EAN EPUB
9789819508877
Prix
294,34 €
Nombre pages copiables
5
Nombre pages imprimables
51
Taille du fichier
64778 Ko

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