This peer-reviewed proceedings book presents rigorously selected papers and real-world case studies, with a distinctive focus on high-impact AI for low-resource and developing-country contexts. Readers get methods and evaluation insights they can adapt quickly.
It covers healthcare, education, digital economy, biometrics/cybersecurity, robotics, energy and resource management, agriculture, culture and accessibility, generative AI, and networking/cloud systems. New in this edition is broader international participation plus stronger coverage of generative AI, sustainability, and AI-enabled cultural heritage preservation. For researchers, postgraduate students, engineers, industry practitioners, and policymakers, it is a reference for literature review, teaching, and evidence-based AI adoption.