BOHR International Journal of Internet of things, Artificial Intelligence and Machine Learning (BIJIAM) 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.

Published: 2025-07-17

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Stock price prediction through an artificial intelligence model using basic, technical, and macroeconomic indicators

Article Type : Research

Authors : Eui-Bang Lee, Heon Baek
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2024.26

1-9

Recent AI-based smart farming for monitoring and security in sub-Saharan Africa regions

Article Type : Review

Authors : Anayo Chukwu Ikegwu, Chibueze Valentine Ikpo, Tosin Oladayo Akinwande
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2025.27

10-18

Artificial intelligence as a tool for knowledge management

Article Type : Review

Authors : Dragisa V Obradovic, Nebojsa Denic, Goran Nestorovic, Dragan D Obradovic
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2025.28

19-24

The scoping review and prospects on wearable health technology

Article Type : Review

Authors : Kajal Arvind Pradhan
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2025.29

25-28

Real-time forensic analysis in internet of things environments: bridging readiness and investigation for cyber resilience

Article Type : Research

Authors : Oyeyemi Kuku, Alexandros Chrysikos, Shahram Salekzamankhani
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2025.30

29-38

Enhancing senior wellness: monitoring and managing heart health with IoT-powered healthcare solutions for the elderly

Article Type : Research

Authors : Sinna Lebbe Fathima Ruksana
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2025.31

39–45

Water quality monitoring system based on internet of thing for oyster mushroom

Article Type : Research

Authors : Rosliana Eso, Arman, Laode Safiuddin
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2025.32

46-53