Wow! eBook
Neural Network Advancements in the Age of AI
Author(s): Sarah Benziane (Editor), Fatiha Guerroudji Meddah
- Publisher: Engineering Science Reference
- Publication Date: 29 May 2025
- Language: English
- Print length: 576 pages
- ISBN-10: B0F7FGFQ53
- ISBN-13: 9798337307367
Book Description
Emerging trends such as explainable artificial intelligence (XAI), few-shot learning, and neural architecture search (NAS) push the boundaries of current neural networks. These cutting-edge networks are transforming the design and efficiency in modern applications, including computer vision, natural language processing (NLP), and autonomous systems. They enable engineers and data scientists to design efficient models, accelerating innovation in sectors like healthcare, biotechnology, and smart systems. The practical implementation techniques of these advanced neural networks are ideal for optimizing neural networks in real-world scenarios and solving real-world problems. Neural Network Advancements in the Age of AI provides a comprehensive exploration of neural networks, emphasizing both the theoretical foundations and practical applications across various fields. It bridges the gap between theory and practice, making neural networks accessible to both researchers and practitioners. Covering topics such as machine translation, predictive maintenance, and skill acquisition, this book is an excellent resource for AI engineers, data scientists, software developers, healthcare professionals, financial practitioners, engineers, computer scientists, professionals, researchers, scholars, academicians, and more.
Editorial Reviews
About the Author
Dr. Fatiha Guerroudji Meddah is an Associate Professor at the University of Science and Technology Mohamed Boudiaf of Oran (USTOMB), Algeria. She holds both a Magister and a Ph.D. in Computer Science from the same institution. Her research focuses on Artificial Intelligence, Data Science, Geographic Information Science, interactive cartography, and geovisualization. Dr. Guerroudji is actively involved in interdisciplinary research projects at both national and international levels. She has served as principal investigator and project leader in several initiatives dealing with the integration of AI, data science, and geospatial technologies to address complex challenges in environmental monitoring, spatial data analysis, and smart decision-making systems. Her work aims to develop intelligent, user-centered tools that enhance geospatial data interpretation and communication. She has authored and co-authored numerous scientific papers published in peer-reviewed international journals and conference proceedings. In addition to her research, Dr. Guerroudji contributes to the academic and scientific communities as a reviewer and program committee member for various national and international conferences and journals in the fields of computer science, geoinformatics, and data driven technologies. She also supervises Master’s and Ph.D. students, and is deeply committed to advancing education and innovation in intelligent systems, spatial data science, and interdisciplinary research.
