Full Description
This book presents a selected collection of high-quality papers presented at Computing Conference 2026, held in London, UK, on 9-10 July 2026. The conference witnessed submissions from researchers, academicians, and industry practitioners from worldwide. To ensure the high standards of originality, technical quality, and relevance to the conference themes, all the papers were passed through a double-blind peer-review process.
A wide range of core computer science tracks, including AI and machine learning, data science, computing for society, cybersecurity, privacy and trust, computer vision, technology-enhanced education, future computing architectures, and intelligent systems, encompass the current research and emerging trends. Together, these works highlight innovative methodologies, theoretical advancements, and practical applications that advance the state-of-the-art in computing and digital technologies.
The authors trust that this volume of the proceedings will serve as a valuable reference for researchers and practitioners and contribute to continued exploration, collaboration, and innovation in the rapidly evolving field of computing.
Contents
Ontology-Guided and LLM-Enhanced Knowledge Graph Construction from Unstructured Text.- Does Representational Instruction Tuning Improve Conditional Sentence Representations?.- Hybrid Predictive Intelligence for Safe and Adaptive Robot-Assisted Feeding.- Knowledge Representation for Healthcare Systems: A Comparative Analysis of Performance of Different Representation Paradigms.- Breaking the Stigma: An AI-Powered Mobile Application for Accessible Mental Health Support.- Understanding Body Dysmorphic Disorder Through Dynamic Network Simulation and Roleplay-Based Visualization.- The Potential of AI-Powered Decision Support Tools in Managing Discordant Chronic Comorbidities (DCCs): Insights from Patients and Healthcare Providers.- Segmentation of Adult Brain MRI for Gray Matter and White Matter.- A Review of Barriers to the Adoption of Wearable Devices in Healthcare.- Comparative Exploration of Multi-Objective Optimization Approaches for Task Offloading in Healthcare IoT-Fog Networks.
