Vol. 9 No. 4 (2025)

View Vol. 9 No. 4 (2025)

Addressing the intersection of technology and societal well-being, this published issue investigates solar grid integration, the climate implications of offshore exploration, and the transformative role of IoT and AI in the digital economy and medical diagnostics.

DOI: https://doi.org/10.65136/jati.v9i4
Published: 2025-12-01

Original Research

Review Article

  • Exploration of Offshore Oil and Gas Onshore Climate Alterations and Implication

    DOI : 10.65136/jati.v9i4.33
    Husna Aini Swarno (1), Nurnida Elmira Othman (2), Fadhilah Mohd Sakri (3), Fatin Ayuni Mohd Suhaimi (4), Wong Siew Fan (5), Ahmad Faiz Mohammad (6)
    (1) School of Engineering, Asia Pacific University of Technology & Innovation, Kuala Lumpur , Malaysia ,
    (2) School of Mechanical Engineering, College of Engineering Universiti Teknologi MARA, Selangor, Malaysia ,
    (3) School of Engineering, Asia Pacific University of Technology & Innovation, Kuala Lumpur , Maldives ,
    (4) University Kuala Lumpur Malaysian Institute of Aviation Technology, Selangor, Malaysia ,
    (5) School of Engineering, Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia ,
    (6) Malaysia-Japan International Institute of Technology, University Teknologi Malaysia, Kuala Lumpur, Malaysia
    33-43
    Abstract : 49
    PDF : 28

  • IoT Challenges and Opportunities in Malaysia’s Digital Economy

    DOI : 10.65136/jati.v9i4.34
    Kamalanathan Shanmugam (1), Naresh Kumar Appadurai (2), Lau Yong Zheng (3), Subasree Ramish (4), Ramana Sarathy (5), Tulasi Appalasamy (6)
    (1) Asia Pacific University of Technology & Innovation Technology, Kuala Lumpur, Malaysia ,
    (2) Asia Pacific University of Technology & Innovation Technology, Kuala Lumpur, Malaysia ,
    (3) KG College of Arts and Science, Coimbatore, Tamil Nadu, India ,
    (4) KG College of Arts and Science, Coimbatore, Tamil Nadu, India ,
    (5) KG College of Arts and Science, Coimbatore, Tamil Nadu, India ,
    (6) Asia Pacific University of Technology & Innovation Technology, Kuala Lumpur, Malaysia
    44-52
    Abstract : 45
    PDF : 23
  • Artificial Intelligence-Based Detection of Brain Tumor with MRI Dataset

    State-of-the-Art Review and Future Directions in Artificial Intelligence-Based Detection of Brain Tumors Using MRI Datasets

    DOI : 10.65136/jati.v9i4.35
    Kohinur Parvin (1), Mohammad Rashed Hasan Polas (2), Onome Bendalene Irikefe (3)
    (1) Department of Computer Science and Engineering, Netrokona University, Netrokona, Bangladesh ,
    (2) Department of Business Administration, Sonargaon University, Dhaka, Bangladesh ,
    (3) School of Medicine, St. George’s University, University Centre, Grenada, West Indies, Grenada
    53-73
    Abstract : 224
    PDF : 23

Case Study