Saeed / Mohammed Advances in Intelligent Computing Techniques and Applications II

Intelligent Systems, Health Informatics, Data Analytics and Internet of Things, Volume 1
Erscheinungsjahr 2026
ISBN: 978-3-032-23021-8
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 306 Seiten

Reihe: Lecture Notes on Data Engineering and Communications Technologies

This book presents the papers included in the proceedings of the 8th International Conference of Reliable Information and Communication Technology 2025 (IRICT 2025) held at the Faculty of Sciences Ain Chock Casablanca, Hassan II University (Morocco) on November 25–26, 2025. IRICT 2025 is organized by Hassan II University (Morocco), Birmingham City University (UK), Big Data Center in Universiti Teknologi Malaysia (Malaysia), Faculty of Engineering, Karabük University (Turkey), AI Smart Solution Lab, College of AI Convergence, Sejong University (South Korea), Yemeni Scientists Research Group (YSRG), and Association for Information Systems—Malaysia Chapter (MyAIS). IRICT 2025 serves as a forum for the presentation of technological advances in the field of Information and Communication Technology. The main theme of the conference is “Smart and Secure Computing: AI, Health, and IoT Applications.”
Volume 1 includes 26 peer-reviewed papers that discuss several research topics such as Health Informatics, Artificial Intelligence, Soft Computing, Data Science, Big Data Analytics, Internet of Things (IoT), Intelligent Communication Systems, Cyber Security, and Information Systems. These papers were presented in three parallel sessions during the two conference days.

Zielgruppe

Research

Autoren/Hrsg.

Saeed, Faisal

Mohammed, Fathey

Mohammed, Errais

Inhaltsverzeichnis

Machine Learning for Occupational Risk Prediction in Industrial Accident Insurance.- From Data to Decision A Framework for Continuous Security Assurance and Live Security Posture Management in IoT.- Comparative Analysis of Hash based Malware Clustering via K Means.- MSRU Net An Enhanced U Net with Multi Scale ResNet50 and Spatial Only Coordinate Attention for Precise Plant Disease Segmentation.- From Benchmarks to Bedside Clinically risk aware comparison of IoMT protocols using TOPSIS with circular q rung orthopair fuzzy information and Muirhead mean.