Transactions on Engineering and Computing Sciences

20/11/2025

𝐂𝐨𝐮𝐩𝐥𝐞𝐝 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥–𝐍𝐮𝐦𝐞𝐫𝐢𝐜𝐚𝐥 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐟𝐨𝐫 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐧𝐠 𝐃𝐫𝐨𝐩𝐥𝐞𝐭 𝐓𝐞𝐦𝐩𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐢𝐧 𝐆𝐚𝐬 𝐌𝐞𝐭𝐚𝐥 𝐀𝐫𝐜 𝐖𝐞𝐥𝐝𝐢𝐧𝐠

This study combines empirical modeling and physics-based simulation to estimate droplet temperatures during GMAW. Using RSM and 1D FEM, it reveals how welding parameters influence thermal behavior—offering both precision and physical insight for process optimization.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1306.19600

15/11/2025

𝐒𝐞𝐧𝐢𝐨𝐫𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐀𝐠𝐞: 𝐏𝐞𝐫𝐜𝐞𝐩𝐭𝐢𝐨𝐧𝐬, 𝐀𝐝𝐚𝐩𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐈𝐧𝐜𝐥𝐮𝐬𝐢𝐨𝐧 This study explores how senior citizens perceive and adapt to digital transformation, highlighting both opportunities and challenges. Findings reveal diverse adoption patterns across demographics, with seniors engaging in entertainment, payments, and social networking. The research emphasizes the need for tailored literacy programs, secure online environments, and community support to ensure inclusion in the digital mainstream.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1306.19551

15/11/2025

𝐀 𝐑𝐨𝐛𝐮𝐬𝐭 𝐚𝐧𝐝 𝐀𝐝𝐚𝐩𝐭𝐢𝐯𝐞 𝐋𝐲𝐚𝐩𝐮𝐧𝐨𝐯-𝐒𝐥𝐢𝐝𝐢𝐧𝐠 𝐌𝐨𝐝𝐞 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝐟𝐨𝐫 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐜 𝐌𝐨𝐭𝐨𝐫 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

This study presents a hybrid control approach that integrates Lyapunov-based stability with Discrete Time Sliding Mode Control (DTSMC) to enhance speed tracking and system resilience in electric motors. By combining Lyapunov theory with robust sliding mode techniques, the strategy ensures stability, disturbance rejection, and superior performance under varying load conditions and uncertainties.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1306.19565

A Robust and Adaptive Lyapunov-Sliding Mode Control Strategy for Electric Motor Applications Authors Tidiane Diaby Department of Electrical and Computer Engineering, Oakland University, Rochester, MI-48309 USA and Department of Electrical and Computer Engineering,University of Michigan, Dearborn, MI...

15/11/2025

𝐓𝐡𝐞 𝐉𝐨𝐢𝐧𝐭 𝐄𝐟𝐟𝐞𝐜𝐭 𝐨𝐟 𝐎𝐫𝐠𝐚𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫𝐢𝐬𝐭𝐢𝐜𝐬, 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 𝐑𝐞𝐟𝐨𝐫𝐦𝐬, 𝐚𝐧𝐝 𝐒𝐭𝐚𝐤𝐞𝐡𝐨𝐥𝐝𝐞𝐫 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐨𝐧 𝐭𝐡𝐞 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐨𝐟 𝐏𝐨𝐫𝐭𝐬 𝐢𝐧 𝐀𝐟𝐫𝐢𝐜𝐚

This study investigates how organizational characteristics, governance reforms, and stakeholder management collectively influence the operational performance of African seaports. Findings reveal that the combined effect of these factors significantly outperforms their individual impacts, offering policymakers and port managers a strategic framework to enhance competitiveness and efficiency across the continent.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1306.19537

The Joint Effect of Organizational Characteristics, Governance Reforms, and Stakeholder Management on the Performance of Ports in Africa Authors Joseph Atonga University of Nairobi, Nairobi, Kenya Zachary Awino Faculty of Business and Management Sciences, University of Nairobi, Nairobi, Kenya Kenned...

05/11/2025

𝐀𝐧 𝐀𝐈-𝐛𝐚𝐬𝐞𝐝 𝐈𝐧𝐭𝐫𝐮𝐬𝐢𝐨𝐧 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦 𝐟𝐨𝐫 𝐒𝐐𝐋 𝐈𝐧𝐣𝐞𝐜𝐭𝐢𝐨𝐧 𝐀𝐭𝐭𝐚𝐜𝐤𝐬 𝐢𝐧 𝐒𝐦𝐚𝐫𝐭 𝐇𝐨𝐦𝐞 𝐈𝐨𝐓 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬

This study presents a machine learning-based intrusion detection system tailored for smart home IoT environments. By targeting SQL injection attacks, the system enhances cybersecurity through intelligent pattern recognition and anomaly detection—offering a scalable solution for safeguarding connected devices.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1305.19509

05/11/2025

𝐀 𝐆𝐚𝐮𝐬𝐬𝐢𝐚𝐧 𝐌𝐢𝐱𝐭𝐮𝐫𝐞 𝐌𝐨𝐝𝐞𝐥 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐟𝐨𝐫 𝐑𝐨𝐛𝐮𝐬𝐭 𝐖𝐚𝐭𝐞𝐫𝐦𝐚𝐫𝐤 𝐓𝐞𝐱𝐭 𝐃𝐞𝐭𝐞𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐬

This study introduces a Gaussian Mixture Model (GMM)-based technique for detecting watermark text in scanned documents. By modeling pixel intensity distributions and edge contours, the method achieves high accuracy even under noise, distortion, and compression—enhancing document security and authenticity verification.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1305.19505

24/09/2025

𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐃𝐲𝐧𝐚𝐦𝐢𝐜𝐬 𝐨𝐟 𝐭𝐡𝐞 𝐌𝐨𝐝𝐢𝐟𝐢𝐞𝐝 𝐏𝐬𝐲𝐜𝐡𝐞 𝐨𝐟 𝐇𝐨𝐦𝐨 𝐒𝐚𝐩𝐢𝐞𝐧𝐬 𝐚𝐧𝐝 𝐀𝐆𝐈

This paper explores how clip thinking replaces conceptual thinking in humans, reshaping cognition for symbiosis with artificial general intelligence.

A. G. Kruglov and A. A. Kruglov 📄
Read the full article
https://doi.org/10.14738/tmlai.1305.19390

17/09/2025

𝐈𝐧𝐭𝐞𝐫𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐑𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐢𝐧 𝐚 𝐃𝐲𝐧𝐚𝐦𝐢𝐜 𝐒𝐩𝐞𝐜𝐭𝐫𝐮𝐦 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞 𝐮𝐬𝐢𝐧𝐠 𝐄𝐢𝐠𝐞𝐧𝐯𝐚𝐥𝐮𝐞 𝐃𝐞𝐭𝐞𝐜𝐭𝐨𝐫 𝐎𝐯𝐞𝐫 𝐊𝐚𝐩𝐩𝐚-𝐌𝐮 𝐒𝐡𝐚𝐝𝐨𝐰 𝐅𝐚𝐝𝐢𝐧𝐠 𝐂𝐡𝐚𝐧𝐧𝐞𝐥

Eigenvalue Detection replaces energy sensing in D-OUSS, enabling smarter spectrum switching and reducing interference over kappa-mu fading channels.

Authors:
W. A. Issa – Federal College of Education, Obudu S. I. Ojo, R. O. Abolade, O. O. Oyedokun – Ladoke Akintola University of Technology, Ogbomoso A. O. Fawole – The Polytechnic Ibadan

Read the full article: https://doi.org/10.14738/tmlai.1305.19340

16/09/2025

𝐀𝐦𝐚𝐥𝐠𝐚𝐦𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐔𝐧𝐬𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 𝐚𝐧𝐝 𝐒𝐮𝐩𝐞𝐫𝐯𝐢𝐬𝐞𝐝 𝐀𝐩𝐩𝐫𝐨𝐚𝐜𝐡𝐞𝐬 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐋𝐚𝐛𝐞𝐥𝐢𝐧𝐠

AUSL combines clustering and classification to generate reliable labels from unlabeled data, achieving over 90% hit rate and strong interpretability.

S. Kaur, M. Mohil, A. Sharma, H. Bhaniya, H. Singh, and M. Bhardwaj

https://doi.org/10.14738/tmlai.1305.19355