Artificial Intelligence and its Practical Applications: Proceedings of the 2nd International Conference on (I2COMSAPP’25), Volume 2

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Bol 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. 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.

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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. 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.


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  • 9783032222985
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