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AVE Trends in Intelligent Energy Letters
2026 Vol.2 No.1

ISSN: 3070-0841

Editor: Afraz Hussain Majeed

Pages Title and author(s)
1-13 A Comprehensive Economic Assessment of Renewable Energy Deployment: Solar, Wind, and Hydropower Potential Jouma Ali Al-Mohamad,  Yang Hao, Chen Jun, Li Wei, Sato Misaki, Thanwamas Phasinam Keywords: Renewable Energy; Solar PV; Wind Power; Euphrates Dam; Levelized Cost of Electricity; Post-Conflict Reconstruction; Energy Security; Global Horizontal Irradiance. DOI: 10.64091/ATIEL.2026.000321
14-23 Numerical Investigation of Transient Aerodynamic Effects of Tail-Fin Deflection in Reusable Launch Vehicles T. Anand, G. Madhan Kumar, Mohammed Omar, Yuri Ryagin, Omar Tawfik, Sami Abdelhamid Keywords: Reusable Launch Vehicles; Unsteady Flow; Tail Fin Deflection; Transient Aerodynamics; Computational Fluid Dynamics; High-Speed Spacecraft; Aerodynamic Gliders; Complex Aerodynamics. DOI: 10.64091/ATIEL.2026.000322
24-36 Design and Implementation of an Obstacle Detection and Emergency Brake for Autonomous Car Nkurunziza Kenneth, Aglaia Mantzana, Wirote Ritthong, Omar Muhammed Neda Keywords: Light Detection and Ranging; Brake Controller; Electronic Control Unit; Electrical Control Switch; Wire Connector; Automated Guided Vehicles; Autonomous Vehicles; Integrated Circuits. DOI: 10.64091/ATIEL.2026.000323
37-53 SIMON Lightweight Block Cipher Implementation on Tang Nano 9K FPGA: A Comprehensive Comparative Analysis with Altera Cyclone II Platform R. M. Bommi, M. Parvez Mohamed, S. Mohamed Imran Keywords: SIMON Cipher; Lightweight Cryptography; Tang Nano 9K; Gowin FPGA; IoT Security; Resource Optimisation; Power Analysis; FPGA Implementation; Comparative Study; Hardware Security. DOI: 10.64091/ATIEL.2026.000324
54-66 Forecasting Electric Vehicle Adoption using Advanced Analytics and Machine Learning Ahmed J. Obaid, S. Rubin Bose, J. Angelin Jeba, Ezgi Demir, Sebastiana Salerno, Wilhelmus De Wilde Keywords: Electric Vehicles (EVs); Adoption Prediction; Machine Learning; Random Forest; Sustainable Transportation; Data Analytics; Charging Infrastructure; Government Policies. DOI: 10.64091/ATIEL.2026.000325