Dr. Laith Abualigah is an Associate Professor at Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Jordan. He is also a distinguished researcher at the School of Computer Science, Universiti Sains Malaysia. His main research interests focus on Arithmetic Optimization Algorithms (AOA), Bio-inspired Computing, Nature-inspired Computing, Swarm Intelligence, Artificial Intelligence, Meta-heuristic Modeling, as well as Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text Clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big Data, and Natural Language Processing. Dr. Abualigah currently serves as Associate Editor of the Journal of Cluster Computing (Springer), the Journal of Soft Computing (Springer), and Journal of King Saud University - Computer and Information Sciences (Elsevier).
Télécharger le livre :  Recent Advances in Structural Health Monitoring and Engineering Structures

This book presents the select proceedings of the 3rd International Conference on Structural Health Monitoring & Engineering Structures (SHM&ES 2023). It covers the recent advances in the fields related to structural health monitoring, damage detection and assessment,...
Editeur : Springer
Parution : 2024-06-01

Format(s) : PDF, ePub
283,79

Téléchargement immédiat
Dès validation de votre commande
Télécharger le livre :  Metaheuristic Optimization Algorithms

Metaheuristic Optimization Algorithms: Optimizers, Analysis, and Applications presents the most recent optimization algorithms and their applications across a wide range of scientific and engineering research fields.Metaheuristic Optimization Algorithms have become...
Editeur : Morgan Kaufmann
Parution : 2024-05-05

Format(s) : PDF, epub sans DRM
168,80

Téléchargement immédiat
Dès validation de votre commande
Télécharger le livre :  Deep Learning Approaches for Spoken and Natural Language Processing

This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of...
Editeur : Springer
Parution : 2022-01-01
Collection : Signals and Communication Technology
Format(s) : PDF, ePub
94,94

Téléchargement immédiat
Dès validation de votre commande