African Multidisciplinary Journal of Sciences and Artificial Intelligence
DOI Prefix: 10.58578/AMJSAI. The journal is an international, rigorously peer-reviewed forum for the dissemination of scientific and multidisciplinary research, including work connected to artificial intelligence and its responsible application across scientific fields.
Peer Reviewed Science & Artificial Intelligence Multidisciplinary
Citation Analysis and Visibility
Publisher: Darul Yasin Al Sys Foundation in cooperation with Federal University Wukari, Nigeria.
African Multidisciplinary Journal of Sciences and Artificial Intelligence (AMJSAI) is an international peer-reviewed journal devoted to the advancement of scientific knowledge and multidisciplinary inquiry across the sciences, engineering, health, agriculture, environmental studies, and artificial intelligence. The journal welcomes original research that demonstrates methodological rigor, conceptual clarity, and meaningful scholarly or practical contribution.
Aims
African Multidisciplinary Journal of Sciences and Artificial Intelligence aims to publish high-quality, peer-reviewed scholarship that advances scientific knowledge and fosters multidisciplinary integration across the sciences, engineering, health, agriculture, environmental studies, and artificial intelligence.
• Scientific Advancement: disseminate rigorous empirical, experimental, analytical, and computational studies across core and applied scientific fields.
• Artificial Intelligence Integration: encourage responsible and evidence-based use of AI in scientific discovery, modeling, prediction, diagnosis, and optimization.
• Multidisciplinary Convergence: promote studies that connect multiple scientific domains to address complex technical, environmental, biological, and societal challenges.
• Innovation and Application: support research that translates scientific and technological knowledge into usable solutions, systems, products, or interventions.
• Artificial Intelligence Integration: encourage responsible and evidence-based use of AI in scientific discovery, modeling, prediction, diagnosis, and optimization.
• Multidisciplinary Convergence: promote studies that connect multiple scientific domains to address complex technical, environmental, biological, and societal challenges.
• Innovation and Application: support research that translates scientific and technological knowledge into usable solutions, systems, products, or interventions.
Submissions should clearly formulate the research problem, report methods transparently, present defensible evidence, and articulate a well-defined contribution to scientific knowledge and/or multidisciplinary application.
Scope
AMJSAI welcomes original research articles and related scholarly contributions across scientific and technology-oriented fields, especially those demonstrating multidisciplinary relevance or integration with artificial intelligence.
• Life and Health Sciences: toxicology, physiology, microbiology, parasitology, molecular biology, phytomedicine, health science, and related biomedical fields.
• Environmental and Agricultural Sciences: environmental studies, agriculture, ecological analysis, sustainability research, and biotechnology related to natural and managed systems.
• Physical and Applied Sciences: physics, chemistry, biophysics, and other analytical or experimental sciences.
• Computational and Intelligence-Based Studies: bioinformatics, scientific computing, simulation, machine learning, and AI applications in science and engineering.
• Engineering and Technological Innovation: engineering solutions, intelligent systems, applied technologies, and multidisciplinary technical studies with scientific grounding.
• Environmental and Agricultural Sciences: environmental studies, agriculture, ecological analysis, sustainability research, and biotechnology related to natural and managed systems.
• Physical and Applied Sciences: physics, chemistry, biophysics, and other analytical or experimental sciences.
• Computational and Intelligence-Based Studies: bioinformatics, scientific computing, simulation, machine learning, and AI applications in science and engineering.
• Engineering and Technological Innovation: engineering solutions, intelligent systems, applied technologies, and multidisciplinary technical studies with scientific grounding.
Priority is given to original research articles and multidisciplinary studies that demonstrate scientific rigor, methodological transparency, and clearly articulated implications for scholarship, innovation, and/or societal benefit.
Current Issue
Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
- Total Articles: 5
- Unique Authors: 28
- Unique Affiliations: 18
- Unique Countries: 3
GH, NG, NP
Published: 2026-07-31
Articles
Smoking Behaviors and Perceived Health Risks Among Out-of-School Youth in Tella, Taraba State
Isaac John Umaru - 
Federal University Wukari, Taraba State, Nigeria
Solomon O. Asare - Accra School of Hygiene, Korle Bu, Ghana
Tyem Lawal Danjuma - Federal University Wukari, Taraba State, Nigeria
Inemesit Samuel Essien - University of Port Harcourt, Nigeria
Ingwu Joseph Akem - Taraba State University Jalingo, Nigeria
Genevieve A. Yeboah - Nursing and Midwifery Training College, Fomena, Ghana
Julius Ishaya Salman - Federal University Wukari, Taraba State, Nigeria
Kwabena Owusu Amoah - Port Health Department, Ghana Health Service, Ghana
Precious Chioma Jack - University of Port Harcourt, Nigeria
Hauwa A. Umaru - Modibbo Adama University Yola, Adamawa State, Nigeria
Maayam Usman Ahmed - Adamawa state University Mubi, Nigeria
219-234
10.58578/amjsai.v3i2.9472
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Efficiency of Rice Processing Among Women Processors in Southern Taraba, Taraba State, Nigeria
N. K. Mikailu - Federal University Wukari, Taraba State, Nigeria
F. B. Filli - Federal University Wukari, Taraba State, Nigeria
U. H. Ukpe - Federal University Wukari, Taraba State, Nigeria
235-245
10.58578/amjsai.v3i2.9477
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Sustainable Rice Husk Mixture Fibre–Stripe Polyethylene Film Composites: Effects of Recycling and Alkali Treatment on Water Absorption, Flammability, Density, and Mechanical Properties
Mathias Bifam - Modibbo Adama University, Yola, Adamawa State, Nigeria
Yakubu Joshua - Federal University Wukari, Taraba State, Nigeria
Alheri Andrew - Federal University of Technology, Minna, Niger State, Nigeria
Peter Micheal Dass - Modibbo Adama University, Yola, Adamawa State, Nigeria
246-276
10.58578/amjsai.v3i2.10004
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Data-Driven Identification of Stochastic Dynamical Systems
Rishav Jha - MIT Campus, Janakpurdham, Nepal
Kameshwar Sahani - Kathmandu University, Nepal
Suresh Kumar Sahani - Rajarshi Janak University, Janakpurdham, Nepal
Ravi Kumar Raj - Rajarshi Janak University, Janakpurdham, Nepal
Dilip Kumar Sah - Tribhuvan University, Patan Dhoka, Lalitpur, Nepal
277-306
10.58578/amjsai.v3i2.10238
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An Epidemiological Survey of Work-Related Musculoskeletal Disorders among Welders in a Conflict-Recovery Region: In North-Eastern, Nigeria
Suleiman Mohammed - Federal University of Health Science Azare Bauchi, Bauchi State, Nigeria
Mannir Kassim - Federal University Wukari, Taraba State, Nigeria
Hamza Sabo Muhammad - Maryam Abacha American University of Nigeria, Nigeria
Bishir Sabo - Ahmadu Bello University Teaching Hospital Shika Zaria, Kaduna State, Nigeria
Usman Gidado - General Hospital Bajoga, Gombe State, Nigeria
307-323
10.58578/amjsai.v3i2.10457
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