Proceedings of the International Conferences on Digital Technology Driven Engineering 2025
Description
This book gathers the latest advances, innovations, and applications in the field of optimization-driven architectural design, presented at the 3rd International Conference on Optimization Driven Architectural Design (OPTARCH2025), held in Amman, Jordan, on December 18-20, 2025, jointly with conferences OPT-iii2025, ADDOPT2025, and DiGiCES2025. It covers topics such as optimization software, evolutionary algorithms and swarm optimization, robust design optimization and reliability-based design optimization, optimization in micro- and nano-mechanics, multiscale and additive manufacturing, multidisciplinary and multiphysics design optimization, multiple criteria decision-making and optimization, generative and parametric design, parallel and distributed computing in optimization. Written by leading researchers and engineers, and selected by means of a rigorous international peer-review process, the book highlights numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaborations.
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Content
A Systematic Review of Protective Shelters for Archaeological Sites Design, Environmental Control, and Sustainability.- Research on the Application of Blockchain Smart Contracts Driven by Generative Large Language Models in Industrial Automation.- Efficient CNN Based Maize Leaf Disease Detection for Embedded Agricultural Applications.- Real Time Zero Shot Object Grounding on Edge Devices with Vision Language Models.- Traceroo An Innovative Educational Game for Teaching Primary School Children English Writing Skills.- EduSpeakAI An AI Powered Real Time Speech Evaluation and Coaching System for Elocution and Public Speaking.- Uncharted Models for Dropout Prediction A Comparative Benchmark in Online Learning.- Discussion on Structural Facade Using Perforated Structural Wall Panel for Multi Storey Buildings.- Efficient Intrusion Detection with RNA Encoding and Random Forest Classifier on CIDDS 001 Dataset.