Transactions on Engineering and Computing Sciences

26/02/2026

𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐧𝐠 𝐆𝐫𝐚𝐧𝐮𝐥𝐚𝐫𝐢𝐭𝐲 𝐢𝐧 𝐌𝐚𝐫𝐤𝐨𝐯 𝐂𝐡𝐚𝐢𝐧-𝐁𝐚𝐬𝐞𝐝 𝐓𝐫𝐮𝐬𝐭 𝐌𝐨𝐝𝐞𝐥𝐬 𝐟𝐨𝐫 𝐕𝐞𝐡𝐢𝐜𝐮𝐥𝐚𝐫 𝐀𝐝 𝐇𝐨𝐜 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 (𝐕𝐀𝐍𝐄𝐓𝐬)
Published in Transactions on Engineering and Computing Sciences (TECS), this study models trust dynamics in VANETs using Markov chains. It compares three behavioral models—4-state, 7-state, and 11-state—to simulate transitions between “good” and “bad” announcement behaviors. Higher granularity (11-state) improves detection of nuanced shifts, enabling more robust trust management. The framework enhances VANET security by filtering unreliable data and reinforcing reputation-based decision-making.

🔗 https://doi.org/10.14738/tmlai.1401.20018

26/02/2026

𝐎𝐛𝐬𝐞𝐫𝐯𝐢𝐧𝐠 𝐃𝐫𝐢𝐯𝐞𝐫 𝐃𝐢𝐬𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐁𝐞𝐡𝐚𝐯𝐢𝐨𝐫𝐬 𝐚𝐭 𝐈𝐧𝐭𝐞𝐫𝐬𝐞𝐜𝐭𝐢𝐨𝐧𝐬 𝐢𝐧 𝐂𝐚𝐥𝐚𝐛𝐚𝐫 𝐌𝐞𝐭𝐫𝐨𝐩𝐨𝐥𝐢𝐬, 𝐍𝐢𝐠𝐞𝐫𝐢𝐚
Published in Transactions on Engineering and Computing Sciences (TECS), this observational study maps distraction behaviors across major intersections in Calabar. Using structured field recordings during peak and off-peak hours, the authors categorized distractions into mobile phone use, passenger interaction, eating/drinking, in-vehicle adjustments, external stimuli, and cognitive inattention. Mobile phone use and passenger interaction dominated, especially during peak traffic. The findings call for targeted enforcement, public awareness, and context-specific traffic interventions to reduce crash risks and improve urban intersection safety.

🔗 https://doi.org/10.14738/tmlai.1401.19978

25/01/2026

𝐀𝐭𝐭𝐞𝐧𝐭𝐢𝐨𝐧𝐋𝐢𝐩𝐢: 𝐀 𝐇𝐲𝐛𝐫𝐢𝐝 𝐂𝐍𝐍–𝐁𝐢𝐋𝐒𝐓𝐌 (𝐂𝐑𝐍𝐍) 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐂𝐓𝐂 𝐟𝐨𝐫 𝐊𝐚𝐧𝐧𝐚𝐝𝐚 𝐏𝐚𝐥𝐦 𝐋𝐞𝐚𝐟 𝐌𝐚𝐧𝐮𝐬𝐜𝐫𝐢𝐩𝐭 𝐑𝐞𝐜𝐨𝐠𝐧𝐢𝐭𝐢𝐨𝐧

Published in Transactions on Engineering and Computing Sciences (TECS), this paper introduces AttentionLipi—an end-to-end CRNN architecture combining CNN, BiLSTM, and CTC loss for recognizing Kannada characters from degraded palm leaf manuscripts. Trained on 3,500 manually annotated samples from 25 historical documents, the model achieves 72.6% accuracy without explicit character segmentation. It uses seven convolutional layers for feature extraction, two BiLSTM layers for sequence modeling, and CTC decoding for transcription. The framework offers a scalable OCR baseline for low-resource heritage digitization and historical document analysis.

🔗 https://doi.org/10.14738/tmlai.1401.19862

25/01/2026

𝐓𝐚𝐢𝐥 𝐃𝐞𝐬𝐢𝐠𝐧 𝐟𝐨𝐫 𝐈𝐦𝐩𝐫𝐨𝐯𝐞𝐝 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐨𝐟 𝐚 𝐒𝐡𝐨𝐫𝐭 𝐓𝐚𝐤𝐞 𝐎𝐟𝐟 𝐚𝐧𝐝 𝐋𝐚𝐧𝐝𝐢𝐧𝐠 𝐀𝐢𝐫𝐜𝐫𝐚𝐟𝐭 𝐚𝐭 𝐇𝐢𝐠𝐡 𝐀𝐧𝐠𝐥𝐞𝐬 𝐨𝐟 𝐀𝐭𝐭𝐚𝐜𝐤

Published in Transactions on Engineering and Computing Sciences (TECS), this paper proposes aerodynamic modifications to enhance tail authority in STOL aircraft operating at high angles of attack. Using CFD simulations on a modified Piper Cub, the study evaluates changes in horizontal stabilizer geometry, tail surface area, and wing slat length. Results show a 12.3% increase in elevator authority and a 5.5° improvement in maximum achievable angle of attack—offering critical insights for improving control and stability in low-speed, high-lift flight regimes.

🔗 https://doi.org/10.14738/tmlai.1401.19868

25/12/2025

𝐀𝐩𝐩𝐫𝐚𝐢𝐬𝐚𝐥 𝐨𝐟 𝐂𝐡𝐫𝐨𝐧𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 𝐨𝐟 𝐏𝐡𝐲𝐬𝐢𝐜𝐬 𝐰𝐢𝐭𝐡 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐞 𝐚𝐧𝐝 𝐔𝐧𝐜𝐞𝐫𝐭𝐚𝐢𝐧𝐭𝐲 𝐨𝐟 𝐅𝐮𝐭𝐮𝐫𝐞

Published in Transactions on Engineering and Computing Sciences (TECS), this philosophical and scientific review traces the evolution of physics from ancient cosmological ideas to modern quantum mechanics. It explores how physical laws emerged alongside the universe’s creation and how uncertainty — both in quantum theory and future predictions — challenges deterministic models. The study calls for a deeper integration of physics with metaphysical inquiry to better understand the cosmos and our place within it.

For More: https://doi.org/10.14738/tmlai.1306.19717

14/12/2025

𝐒𝐢𝐠𝐧𝐚𝐥 𝐈𝐧𝐭𝐞𝐠𝐫𝐢𝐭𝐲 𝐑𝐞𝐝𝐞𝐟𝐢𝐧𝐞𝐝: 𝐈𝐧𝐜𝐥𝐮𝐝𝐢𝐧𝐠 𝐑𝐅 𝐒𝐭𝐚𝐠𝐞𝐬 𝐢𝐧 𝐂𝐌𝐎𝐒 𝐕𝐋𝐒𝐈 𝐃𝐞𝐬𝐢𝐠𝐧𝐬

This paper expands the scope of Signal Integrity (SI) engineering to include RF-stage effects in wireless systems like Bluetooth and ZigBee. It identifies how electromagnetic artifacts from RF stages can degrade SI and presents ADS™-based simulation results on TR-switch performance in CMOS-VLSI Bluetooth circuits. A more holistic SI framework is proposed to address both baseband and RF impairments.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1306.19675

01/12/2025

𝐄𝐱𝐩𝐞𝐫𝐢𝐦𝐞𝐧𝐭𝐚𝐥 𝐑𝐞𝐬𝐮𝐥𝐭𝐬 & 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐨𝐟 𝐌𝐚𝐠𝐧𝐞𝐭𝐢𝐜 𝐃𝐚𝐭𝐚 𝐟𝐨𝐫 𝐆𝐚𝐥𝐥𝐢𝐮𝐦 𝐎𝐱𝐢𝐝𝐞-𝐇𝐞𝐦𝐚𝐭𝐢𝐭𝐞 𝐌𝐢𝐱𝐞𝐝-𝐎𝐱𝐢𝐝𝐞 𝐍𝐚𝐧𝐨𝐩𝐚𝐫𝐭𝐢𝐜𝐥𝐞𝐬

This study investigates xGa₂O₃*(1–x)Fe₂O₃ (x=0.5) nanoparticles synthesized via high-energy ball milling. Magnetic properties were analyzed through hysteresis loops and ZFC-FC measurements across 5–300 K. Findings reveal no sharp superparamagnetic blocking temperature, a broad Morin transition, and a gradual magnetization increase explained by Dzyaloshinskii-Moriya interaction. Milling time and temperature significantly affect coercive field and magnetic ordering.

𝐅𝐨𝐫 𝐌𝐨𝐫𝐞: https://doi.org/10.14738/tmlai.1306.19643

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