Journal for Artificial Intelligence and Internet of Things in Developing Countries (JAIIOT) https://jaiiot.sesilpublishers.com/ojs <p data-start="190" data-end="766">The<strong> <em data-start="194" data-end="287">Journal for Artificial Intelligence and Internet of Things in Developing Countries (JAIIOT)</em></strong> is a peer-reviewed, open-access academic journal dedicated to advancing research, innovation, and practical applications of Artificial Intelligence (AI) and the Internet of Things (IoT) within the context of developing nations. JAIIOT provides a platform for scholars, technologists, policymakers, industry experts, and practitioners to explore how emerging digital technologies can address socioeconomic challenges, enhance development outcomes, and support sustainable growth.</p> <p data-start="768" data-end="1296">The journal publishes high-quality research articles, reviews, case studies, technical reports, and policy analyses that examine AI and IoT solutions in areas such as healthcare, education, agriculture, transportation, smart cities, governance, environmental monitoring, and industrial development. JAIIOT places particular emphasis on context-specific innovations, affordable and scalable technologies, ethical considerations, digital inclusion, and the unique infrastructural and regulatory conditions of developing countries.</p> <p data-start="1298" data-end="1761">By fostering interdisciplinary dialogue and promoting evidence-based insights, JAIIOT aims to support the transformative role of intelligent and connected technologies in improving quality of life, reducing inequalities, strengthening local capacities, and driving sustainable development across emerging economies. The journal serves as a trusted resource for advancing both academic knowledge and practical solutions tailored to the needs of developing regions.</p> en-US jaiiot@sesilpublishers.com (Hassan Sengooba) sesilpublishersltd@gmail.com (Hassan Sengooba Bwagu) Fri, 14 Nov 2025 00:00:00 +0000 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60