About the Journal

The Asian Journal of Science, Engineering and Technology (AJSET) is an open-access, online, biannual (with continuous publication strategy), editorial-reviewed (blind), peer-reviewed (double-blind), multidisciplinary and interdisciplinary Asia-focused journal. AJSET primarily focuses on original research and review articles on sciences, engineering, technology, and allied fields, fostering a collaborative spirit. AJSET believes that including multiple academic disciplines helps pool the knowledge from two or more fields of study to better handle problems by finding solutions established on new understandings. AJSET was initiated in 2022 under the banner of IDEA Publishers Group to provide a publication platform following an eminent standard of research to academics and professionals, especially researchers, scholars, and scientists of national and international reputations, recognising their significant contributions to their respective fields.

[Last updated: 12-Apr-2025]

Current Issue

Vol. 4 No. 1 (2025): January-June 2025

This issue is open for publication till 30-June-2025.

Published: 2025-01-20

Original Research Articles

  • Enhancing thermal stability and viscosity of cellulose ether using propylene carbonate as a transesterification agent for oilfield applications

    Ghulam Abbas, Faisal Hussain Memon, Abdul Samad Shaikh, Tariq Ali Chandio, Khalil Rehman Memon, Abdul Haque Tunio
    1-18
    DOI: https://doi.org/10.47264/idea.ajset/4.1.1

  • Fibre reinforcement strategies for enhancing ductile behaviour in concrete elements

    Muhammad Zubair Gulzar, Aqib Ali , Sardar Junaid Asad, Muhammad Shahoon Iqbal , Sami Ullah, Faraz Ali Channa
    19-37
    DOI: https://doi.org/10.47264/idea.ajset/4.1.2

  • Impact of temperature and precipitation variability on the sowing time and pest incidence on late-season gourd in Pakistan

    Faryal Bukhari, Saeeda Yousaf, Anis Safir, Taqweem Ul Haq, Sidra Sidra, Fawad Islam, Md Kaium Hossain
    38-53
    DOI: https://doi.org/10.47264/idea.ajset/4.1.3

  • Investigation and classification of bone fracture using a deep learning model

    Kamran Khan, Ayaz Ali, Abid Haider, Numan Ahmad Khan, Jamil Khan
    54-68
    DOI: https://doi.org/10.47264/idea.ajset/4.1.4
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