https://journals.scholarpublishing.org/index.php/TMLAI/issue/feedTransactions on Engineering and Computing Sciences2025-01-28T02:25:28+00:00Thomas Harveytecs@scholarpublishing.orgOpen Journal Systems<p>Transactions on Engineering and Computing Sciences is peer-reviewed open access online journal that provides a medium of the rapid publication of original research papers, review articles, book reviews and short communications covering all areas of machine learning and artificial Intelligence. The journal publishes state-of-the-art research reports and critical evaluations of applications, techniques and algorithms in Engineering Management, Cloud Systems, Electrical Engineering, Industrial Networks and Intelligent Systems, Mechanical Civil and Chemiical Engineering, Internet of Things, Mathematical Modeling, Robotics Research, Engineering informatics, Computer Science, Computer Hardware/Software, Robotics and application, Embedded Systems, Data Base Management & Information Retrievals, Geographical Information Systems/ Global Navigation Satellite Systems, Fuzzy Systems, Web and Internet computing, Machine learning, Artificial intelligence, Cognitive science, Software engineering, Database systems, Soft computing, Optimization and modelling and related application areas.</p>https://journals.scholarpublishing.org/index.php/TMLAI/article/view/18254Enhance Parameter Identification Accuracy for State-of-Charge Optimization in Lithium-Ion Batteries2025-01-28T02:25:28+00:00Ashraf A. Shanaqashanaq@oakland.eduMohamad A. Zohdyzohdyma@oakland.edu<p>For optimizing the performance, lifespan, and safety of lithium-ion batteries (LIBs), Accurate State-of-charge (SOC) estimation is important because it is a cornerstone technology used in electric vehicles and renewable energy systems. Based on these points, the study presents a novel approach for enhancing parameter identification accuracy that is a main challenge in SOC optimization. Through combining advanced mathematical modeling, hybrid optimization framework, and adaptive parameter identification techniques, the proposed method is showing superior performance across various scenarios. Secondly, the experimental results are showing that the proposed method achieves lower root mean square error (RMSE), and SOC estimation error is compared with conventional methods, including Extended Kalman Filter, Coulomb Counting, and hybrid data-driven models. Moreover, when dynamic driving cycles are used, then, SOC error was minimized to 1.94% that significantly enhance accuracy level. Also, robustness level under changing noise levels, temperature profiles, and aging effects was validated that shows the reliability of method in real-world applications. This study contributes to battery management system development through providing an effective and robust framework for SOC estimation and pave the way for next-generation battery technologies. However, future work is necessary to resolve computational optimization, scalability, and applicability across diverse chemistries to enhance its practical implementation.</p>2025-02-09T00:00:00+00:00Copyright (c) 2025 Ashraf A. Shanaq, Mohamad A. Zohdyhttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/18186A Unified Framework for Explainable and Privacy-Preserving Machine Learning in Real-Time Decision-Making Systems2025-01-13T00:58:31+00:00Milad Rahmatimrahmat3@uwo.ca<p>Machine learning (ML) has revolutionized real-time decision-making, enabling significant advancements in fields such as healthcare, cybersecurity, and autonomous systems. Despite these strides, two critical challenges hinder broader adoption: the lack of transparency in complex models and concerns about preserving user privacy. This paper introduces a comprehensive framework that combines explainable artificial intelligence (XAI) with privacy-preserving machine learning (PPML), tailored for systems requiring real-time responsiveness. The framework employs innovative methods, including interpretable modeling, federated learning, and secure computation, to balance accuracy with ethical considerations. Rigorous evaluations on benchmark datasets, particularly in healthcare and energy optimization, highlight its effectiveness, with results demonstrating a 15% increase in interpretability scores and 20% enhancement in privacy adherence compared to existing approaches. By addressing these critical barriers, the proposed framework establishes a foundation for integrating ML ethically and efficiently into real-time applications.</p>2025-01-26T00:00:00+00:00Copyright (c) 2025 Milad Rahmatihttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/18142Modeling of a Hybrid Electrical Network Under the Constraint of Availability of Energy Sources by a Dynamic Bayesian Network2024-12-30T14:33:49+00:00Amadou F. Toureamadatoure@yahoo.frAbdoulaye Sissokoabdoulayesis@yahoo.frDavid Tchoffad.tchoffa@iut.univ-paris8.frFadaba Daniokoloifad@gmail.com<p>As the world's energy shortages worsen, countries are starting to exploit renewable energies for which solar power becomes the first choice. Considering the insufficiency of hydraulic and thermal resources in Mali, the hybrid system photovoltaic coupled at the grid is necessary and natural. The present study aims to increase the contribution of renewable energy sources to the national electricity production of Mali, and to pave the way for a good supply of electricity, ensuring the sustainable development of the economy and society of Mali. A preliminary analysis defines the technical, economic and environmental conditions for the implementation of 30 MW solar power plants at three points of Mali's energy interconnection network. It can be a first contribution to demonstrating the feasibility of an integrated and self-sufficient energy model in this country. The power of 30 MW is compatible with the capacity of the interconnected network of Mali to absorb the electrical energy produced. For the location of the sites, several criteria have been taken into account for a definitive implementation (local climate conditions, proximity to the interconnected network, source of cooling water, social and environmental impact of the project).</p>2025-01-12T00:00:00+00:00Copyright (c) 2025 Amadou F. Toure, Abdoulaye Sissoko; David Tchoffa, Fadaba Daniokohttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/18234Regulatory Algorithm as a Constructive Element of the Psyche of Homo Sapiens and Agi: Part 12025-01-23T15:36:32+00:00A. G Kruglovkrag48@mail.ruA. A. Kruglovkrag48@mail.ru<p>Integral regulatory algorithms are used to determine the unstable "current equilibrium" of a homeostatic continuum. The regulatory algorithm (RA) is a circular closed dynamic psychophysiological construct that is structured as follows: homeostasis imbalance > need > goal image (information coded equivalent of need) > motive > goal-directed behavior > satisfaction of need > restoration of homeostasis balance. Integral RA are heteronomous metameres (HM) comprising spatio-temporal segments of the homeostatic continuum of a biological organism. A HM is an electrodynamic structure of a branched algorithm with neurophysiological, behavioral, and somatofunctional derivatives. All stable vital physiological states of biological systems are formed by targeted, phylogenetically/ontogenetically formed integral regulatory algorithms that are heteronomous metameres of the homeostatic continuum (RA = HM). Through its creative psyche, Homo Sapiens has expanded its range of interaction with the external environment beyond what other biological species are capable of. The socio-cultural needs of Homo Sapiens have given rise to a progressively increasing series of frustrations of ideal content realized by cycles of homomorphic goal-directed behavior (HGB) towards a goal image that is beyond the attainable. Cycles of completed HGB are segments/metameres of the homeostatic socio-cultural continuum. A dynamic sequence of metameres, cycles of HGB overcoming "barriers of uncertainty", on a population scale forms the dynamics and structure of the socio-cultural continuum of the HS population where the social construct is derived from a set of "cultural codes".</p>2025-02-05T00:00:00+00:00Copyright (c) 2025 Kruglov, A. G., Kruglov, A. A.https://journals.scholarpublishing.org/index.php/TMLAI/article/view/18143Design of Compact Vivaldi Antenna Arrays for AESA Radar System2024-12-30T16:07:57+00:00Babu Saraswathi K. Lekshmikavitha20012@gmail.comI. Jacob Raglendkavitha20012@gmail.com<p class="Text" style="text-indent: 0cm;"><span lang="EN-US">This paper demonstrates a low-profile, wide band, miniaturized, Stripline fed double layered exponentially tapered slot antenna with a wide-scan capability and 10% bandwidth at the X-band frequency has been designed, fabricated, and tested. The antenna is optimized with a total size equal to 14.2x24.1x1.4 mm<sup>3</sup> and is capable of achieving the desired bandwidth experimentally. The 9-element array and feeding network based on 1:9 T-junction power divider was employed to compose the linear array. The array elements are operating with return loss lower than 10 dB at X-band frequency. <span style="color: black;">Measured results of single elements in isolated and array environment are achieved, both have a wide 3-dB beam width better than 107<sup>o </sup>in the E- and H- planes, which is capable of a linear array with wide scan angle ±55<sup>o</sup>. The linear array has a half power beamwidth of 11 degrees with side-lobe level of -12dB at 10GHz with a gain of 12dBi. These features make the antenna array fit for X-band airborne radar applications</span>. </span></p>2025-01-17T00:00:00+00:00Copyright (c) 2025 Babu Saraswathi K. Lekshmi, I. Jacob Raglendhttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/18124Prospects of Introduction of Integrated Quality Management Systems at Enterprises of Uzbekistan2024-12-26T17:12:45+00:00Rustam Sadykovich Azimovi.oripov@uzbekinvest.uz<p class="TTPKeywords" style="margin-top: 12.0pt; text-indent: 0in; background: white;"><span style="font-size: 12.0pt; font-family: 'Times New Roman',serif;">This article explores the prospects of implementing integrated quality management systems in enterprises across Uzbekistan, focusing on the insurance sector. The ISO 9001:2015 standard is highlighted as a universally applicable framework that aligns well with the principles of financial organization. Through thorough implementation of specific sections of the standard, insurance companies can enhance customer service quality and strategically position themselves in domestic and foreign markets. The government's role in encouraging certification and providing benefits for compliant enterprises is discussed, alongside global statistics on ISO certification. Case studies, such as the implementation at "Uzbekinvest" Insurance Company, demonstrate the positive impact of quality management systems on business performance.</span></p>2025-01-26T00:00:00+00:00Copyright (c) 2025 Rustam Sadykovich Azimov