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: 2024-02-24

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Yoga Pose Recognition (YPR) using ML-DL and android application

Article Type : Research

Authors : Partha Ghosh, Sitam Sardar, Riya Mondal, Ayush Jha, Aniruddha Sarkar
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2024.19

1-15

Abstract Views: 28 PDF : 10 HTML : 3 XML : 6 EPUB : 5

Early-stage diagnosis of diabetes mellitus using machine learning and uncertainty quantification

Article Type : Research

Authors : Partha Ghosh, Ogneev Bhadra, Sayak Mukhopadhyay, Nitish Kumar Dubey, Aatm Prakash Mishra
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2024.24

1-11

Abstract Views: 16 PDF : 5 HTML : 1 XML : 0 EPUB : 0

Agricultural bioinformatics and machine learning techniques in Areca nut disease and crop improvement – a review

Article Type : Review

Authors : G. Archana, N. Hemalatha
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2024.21

25-28

Abstract Views: 14 PDF : 14 HTML : 5 XML : 1 EPUB : 4

Analyzing the guiding principles of AI ethics: A framing theory perspective on the communication of ethical considerations in artificial intelligence (AI)

Article Type : Case study

Authors : Asifa Younas
Licensing : Creative Commons Attribution 4.0 International License.
DOI: 10.54646/bijiam.2024.20

16-24

Abstract Views: 38 PDF : 6 HTML : 2 XML : 1 EPUB : 1