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
Mathematical Modelling of BDI Agent Coalition for Efficient IoT Network Recovery.- CorPilot: An Agentic Framework for Corpus Linguistics.- Contextualized Competing Behavioral Feedback Loops: Simulating the Dynamic Environment of an eSports Collective.- EvoLLM-D: LLM-Guided Decomposition for Multi-Objective Urban Traffic Optimization Using UAV Data.- Using Logic Identifying Existence Systems (LIES) to Identify Certain Types of Hallucinations in Large Language Models.- Lost in Translation: Evaluating Figurative Language Understanding in Arabic vs. English in Large Language Models.- Unlocking Digital Identity and Free Trade in Africa: A Generative AI Approach to African Union Interoperability.- What is the Impact on Student Learning When the Use of a GPT is Available?.- Fine-tuning LLMs on SQL Benchmarks for Zero-Shot Query Optimization Hints.- VCBench: Benchmarking LLMs in Venture Capital.
