Decentralized Energy Systems Using Biomass Pyrolysis and Biochar Production: A Dual-Function Approach to Energy Access and Carbon Management

Bello Alhassan1, Kareem Bashirat Abiodun2, Abdullahi Hajarat Jummai3 DOI: 10.5281/zenodo.16229154 GAS Journal of Engineering and Technology (GASJET) The research analyzes decentralized biomass pyrolysis systems to demonstrate their capability as combined energy solutions between clean energy production and carbon dioxide regulation. Read More …

Cardiovascular Disease (CVD) Prediction with Machine Learning (ML) K-Neighbor (KNN), Decision Tree (DT), and Random Forest (RF) Classifiers

Sahabdeen Aysha Asra1, Dr. K.H. Ramanayaka2, R.D.Madushan Prabod Kumara3, W.H.Thurushi Thathsarani4 DOI: 10.5281/zenodo.16107733 GAS Journal of Engineering and Technology (GASJET) Cardiovascular disease (CVD) has recently exceeded all other reasons of death universal in both every nation. Early detection of cardiac Read More …

Traveling Back in Time: Catastrophic Occurrences and Rising Global Temperatures – Transformations Linked to Digital and Natural Universes

David Allen Dodson DOI: 10.5281/zenodo.15872139 GAS Journal of Engineering and Technology (GASJET) The Author will employ a time machine model to reveal possible solutions that could mitigate catastrophic natural events, which generate significant economic and life loss, and digital devices Read More …

Understanding User Perspectives on Data Privacy in Social Media: Awareness, Concerns, and Behaviours

Emilio B. Magtolis Jr., Patrick John S. Pagayunan, Jobil P. Pandan and Kristine T. Soberano, PhD DOI: 10.5281/zenodo.15828663 GAS Journal of Engineering and Technology (GASJET) With the increase in social media platforms over the years, consumers are becoming more aware Read More …

Socio-Economic and Demographic Profile People’s Organization for National Greening Program with Visualization

Jufel M. Castulo, Rosanna C. Quingco & Wesley Hans M. Platil DOI: 10.5281/zenodo.15823579 GAS Journal of Engineering and Technology (GASJET) This study aimed to analyze, design, and develop a system to assist in analyzing relevant data for the National Greening Read More …

Experimental Object Identification and Control for Servo Motor

Bui Lap Hien1, Nguyen Thi Binh2, Vu Truong Son3, Do Quang Hung4 DOI: 10.5281/zenodo.15807154 GAS Journal of Engineering and Technology (GASJET) Control of speed and position of servo motors is an important and highly concerned problem in robot manipulator control. Read More …

Student Perceptions of Social Engineering Attacks: A Survey-Based Analysis

Christine Joy Yap1, Roxan C. Dela Cruz2, Kristine Soberano3 DOI: 10.5281/zenodo.15792783 GAS Journal of Engineering and Technology (GASJET) The emergence of social engineering attacks has been a growing concern for cybersecurity because these attacks abuse human behavior instead of exploiting Read More …

Empowering Museum Visitor Experiences through AI-Driven Smart Guide Systems: A Model for Intelligent Museum Services

Yanbo Li1, Yuanyuan Ma1,*, Fenghua Liang1, Honghui Bao1 DOI: 10.5281/zenodo.15777224 GAS Journal of Engineering and Technology (GASJET) Smart museums, as integrative platforms combining cultural heritage and cutting-edge technologies, are reshaping traditional exhibition and visitor engagement models. Driven by artificial intelligence Read More …

Assessing Green Building Practices in Nigerian Hotels Based on LEED Criteria and Certification Standards

Aminu Lawan Abdullahi1, Olakanbi Abdulraheem Bolaji2, Aliyu Zakari3, Abdullahi Muhammad Yaradua4, Ajibola Edidiong Nseabasi5 and Nusa Danlami Jibril6 DOI: 10.5281/zenodo.15704291 GAS Journal of Engineering and Technology (GASJET) The hospitality industry is a major consumer of energy in the built environment, Read More …

Human Factors Reliability Study of Oil and Gas Field Accidents

Xiaowen Li & Jiangyuan Chen DOI: 10.5281/zenodo.15646480 GAS Journal of Engineering and Technology (GASJET) This study investigates human factors reliability in oil and gas field accidents, combining theoretical analysis with empirical data. It identifies that human factors contribute to 70–80% Read More …