Description
In the era of artificial intelligence (AI), applied neural networks transition from theoretical constructs to powerful tools driving innovation across sectors. Neural networks can learn patterns, make predictions, and adapt to complex data. From powering image and speech recognition systems to enabling autonomous vehicles and enhancing medical diagnostics, their impact is continually expanding. Advances in computational power, big data, and algorithmic design accelerate this transformation, making neural networks critical to AI applications. As these models become integrated into everyday technologies, further research into their design, limitations, and ethical implications becomes pivotal.
Applied Neural Networks in the AI Era: From Theory to Real-World Impact explores the integration of intelligent technologies into neural networks. It examines the application of neural networks in various sectors, including transportation, medicine, computing, etc. This book covers topics such as biology, cloud computing, and smart robotics, and is a useful resource for engineers, business owners, academicians, researchers, and computer scientists.
Author's/Editor's Biography
Fatiha Guerroudji Meddah (Ed.)
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.