https://journals.bohrpub.com/index.php/bijiam/issue/feedBOHR International Journal of Internet of things, Artificial Intelligence and Machine Learning2026-01-09T06:14:50+00:00Jayanthi Roselineditor@bohrpub.comOpen Journal Systems<p><strong>BOHR International Journal of Internet of things, Artificial Intelligence and Machine Learning (BIJIAM)</strong> is an open access peer-reviewed journal that publishes articles which contribute new results in all the areas of Internet of things, Artificial Intelligence and Machine Learning. Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in this area.</p>https://journals.bohrpub.com/index.php/bijiam/article/view/958The scoping review and prospects on wearable health technology2026-01-09T06:14:50+00:00Kajal Arvind Pradhankajalpradhan2811@email.com<p>One of the most fascinating areas of technology is wearable medical devices. These wearables provide a constant stream of health care data for disease diagnosis and treatment, in addition to helping users live healthier lifestyles by continuously monitoring physiological signals and analyzing metabolic state. This article seeks to cover all the various facets of wearable technology, such as its historical evolution and certain essential characteristics.</p>2025-11-09T00:00:00+00:00Copyright (c) 2025 Kajal Arvind Pradhanhttps://journals.bohrpub.com/index.php/bijiam/article/view/874Recent AI-based smart farming for monitoring and security in sub-Saharan Africa regions2025-08-01T10:38:31+00:00Anayo Chukwu Ikegwuikegwua@veritas.edu.ngChibueze Valentine Ikpoikegwua@veritas.edu.ngTosin Oladayo Akinwandeikegwua@veritas.edu.ng<p>Artificial intelligence (AI) has revolutionized smart farming in sub-Saharan Africa, especially in Nigeria, which still relies mostly on agriculture with conventional methods, which suffer problems such as pest infestations, erratic weather patterns, and threats to farm security, decreasing productivity. The agricultural practice continues to be an important sector in sub-Saharan African regions, especiallyWest African countries such as Ghana, Cameroon, Mali, Cabo Verde, Nigeria, etc., contributing meaningfully to the economy and serving livelihoods for a large proportion of agriculturalists of the population. The emergence of AI-powered smart farming provides enabling ways to monitor and protect agricultural processes in the regions. This review paper highlights how AI-based technologies such as machine learning, computer vision, Internet of Things sensors, and drone surveillance contributed to the improvement of precision farming, crop health monitoring, and possible real-time threat detection. The study further discusses AI in farming monitoring and farming security. In addition, challenges and solutions of AI technology for smart farming were discussed. The implication of this study will ensure that the agricultural practice receives a technology-enabled framework to foster the acceleration of AI-driven capacity building, digital infrastructure investment, and legislative assistance to enable a seamless practice. The advent of smart farming can transform Africa’s agricultural sector, which can lead to resilience and economic growth variability.</p>2025-06-05T00:00:00+00:00Copyright (c) 2025 Anayo Chukwu Ikegwu, Chibueze Valentine Ikpo, Tosin Oladayo Akinwandehttps://journals.bohrpub.com/index.php/bijiam/article/view/949Artificial intelligence as a tool for knowledge management2025-12-22T09:52:26+00:00Dragisa V Obradovicdragishaobradovic@gmail.comNebojsa Denicdragishaobradovic@yahoo.comGoran Nestorovicdragishaobradovic@yahoo.comseDragan D Obradovicdragishaobradovic@yahoo.com<p>Information and communication technologies and knowledge management represent one of the basic features of modern society. The needs of modern society and economy for better and more efficient products and services condition the constant development of the technological sector. One of the latest and most significant phenomena in the field of technology is artificial intelligence (AI), that is, the possibility of computer programs to replace human intelligence and human work in many activities and activities. The goal of the paper is to point out the importance of future research on AI in various areas of law, for which the need will inevitably arise in the near future.</p>2025-10-27T00:00:00+00:00Copyright (c) 2025 Dragisa V Obradovic, Nebojsa Denic, Goran Nestorovic, Dragan D Obradovichttps://journals.bohrpub.com/index.php/bijiam/article/view/860Stock price prediction through an artificial intelligence model using basic, technical, and macroeconomic indicators2025-05-17T11:12:22+00:00Eui-Bang Leehuny01017@hanmail.netHeon Baekhuny01017@hanmail.net<p>This study aims to analyze and predict future stock values more accurately. We proposed a stock price prediction model based on an artificial intelligence model using basic stock price data and technological and macroeconomic indicators. As a result of the experiment, the model using the features of adding technical indicators to the actual stock index (basic indicators) has better performance than the model using basic indicators and forecast performance by adding basic, technical, and macroeconomic indicators. Comparing artificial intelligence algorithms, the LightGBM model performed better than the deep neural network model and random forest model.</p>2025-05-17T00:00:00+00:00Copyright (c) 2024 Heon Baek, Eui-Bang Lee