Emerging Technologies in Computing

8th EAI/IAER International Conference, iCETiC 2025, Newport, UK, August 14–15, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-34791-6
Verlag: Springer

Buch, Englisch, 242 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

This book constitutes the refereed conference proceedings of the 8th International Conference on Emerging Technologies in Computing, iCETiC 2025, held in Cardiff, UK, during August 14–15, 2025.

The 15 full papers included in this book were carefully reviewed and selected from 39 submissions. They were organized in topical sections as follows: IoT and Communications Engineering; AI, Expert Systems and Big Data Analytics; and Security.

Zielgruppe

Research

Autoren/Hrsg.

Miraz, Mahdi H.

Southall, Garfield

Ali, Maaruf

Ware, Andrew

Abuhmida, Mabrouka

Fachgebiete

• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering

Inhaltsverzeichnis

.- IoT and Communications Engineering .

.- Optimised CMOS Down Conversion Mixer Design for IoT Applications.

.- Affordable IoT-Enabled Water Quality Monitoring System and Application for Extensive and Intensive Environment.

.- Evaluation of Tunnel Traffic Mappings in MPT Multi-path Networks.

.- A Review of the Internet of Medical Things (IoMT) Threat Landscape using Shodan.

.- AI, Expert Systems and Big Data Analytics .

.- Behind Price Tags: A 3+11 Dynamic Pricing Strategies Review Framework in E-Commerce.

.- Enhancing Lung Nodule Segmentation via Transformerbased 2.5D Feature Aggregation.

.- AI-Powered Litter Detection and Environmental Scene Understanding using YOLO and CLIP-Based Vision-Language Models.

.- Utilising Machine Learning to Support Student Voice Informed Decision-Making in Higher Education.

.,- Emotional and Visual Engagement with AI Art: Eye-Tracking and Galvanic Skin Response Analysis.

.- Machine Learning Enhanced Quantum Dot Solar Cells: Accelerating Material Discovery and Device Optimization.

.- Exploring Historical Biases in ChatGPT: Regional Variation in AI-Generated Responses about Conwy Castle.

.- AI-Powered Physical Activity Monitoring: A Foundation for Social Prescribing.

.- Increased Navigational Difficulty Drives Higher Search Rates in Hyper-Searchers.

.- Security .

.- Assessing IoMT Network Resilience: A Comparative Performance Analysis of Simulated Attacks using NS-3.

.- A Lightweight Methodology for Analysis of Side-Channel Attacks on M-series Processors.