https://journals.scholarpublishing.org/index.php/TMLAI/issue/feedTransactions on Engineering and Computing Sciences2024-03-13T14:12:36+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/16526Black Holes Effect on Rapid Stellar Jumps and Tidal Disruptions of Stars2024-02-11T12:52:56+00:00Sabir Sadiqsabirhassansadiq@gmail.com<p>In the present work, black hole tunnel effect on a rapid stellar jumps and tidal disruptions of stars are two important subjects in this discussion. The life cycle of stars gone slowly when stars being in distant places from a black hole, otherwise the life cycle of low mass stars and high stars are gone quickly with burning much of their fuel of fusion when such stars orbit the black hole closely. Gravity is a cosmic fabric distortion in the three dimensions under the effect of black holes, Planets, and stars. Stars and planets are tidally disrupted by celestial objects and black holes. Cosmic fabric matter is warping strongly during direct interactions between Stars and black holes. The surface temperature and luminosity of stars will increase rapidly when they orbit the black hole in much close region. The centre of star may shrink inward and its atmosphere will expand outward shown clearly like blue spikes and spicules of hot plasma on its surface after an excited star passed close to the black hole or orbits it.</p>2024-03-13T00:00:00+00:00Copyright (c) 2024 Sabir Sadiqhttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/16373AttentiveBugLocator: A Bug Localization Model using Attention-based Semantic Features and Information Retrieval2024-01-24T09:53:31+00:00Aminu Ahmadaminu.ahmad@csu.edu.cnYu Lashengyulasheng@csu.edu.cnHussaini Aliyu Idrishussaini.idris@ejust.edu.egBuhari Aliyubuhari.aliyu@eleve.isep.frAdamu Muhammadadamu.eee@jigpoly.edu.ngMuhammad Umar Diginsamuhammaddiginsa@graduate.utm.my<p>In recent years, deep learning-based algorithms such as CNN, LSTM, and auto-encoders have been proposed to rank suspicious buggy files. Meanwhile, representational learning has served to be the best ap-proach to extract rich semantic features of bug reports and source code to reduce their lexical mismatch. In this paper, we propose AttentiveBu-gLocator, a Siamese-based representational learning model for improved bug localization performance. AttentiveBugLocator employs BERT and code2vec embedding models to produce richer semantic representations and a Siamese BiLSTM network with context attention to learn semantic matching between BRs and SFs. To further improve the effectiveness of AttentiveBugLocator, the semantic matching features are carefully fused with VSM, stack trace, and code complexity features. Evaluation results on four data sets show that AttentiveBugLocator can identify buggy files on the scale of 56% and 62% on MAP and MRR – thus, outperforms sev-eral state-of-the-art approaches.</p>2024-03-13T00:00:00+00:00Copyright (c) 2024 Aminu Ahmad, Yu Lasheng, Hussaini Aliyu Idris, Buhari Aliyu, Adamu Muhammad, Muhammad Umar Diginsahttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/16645The Internal Structure Of Paricutin And Tancítaro Volcanos, Mexico, From Rock Density Distributions2024-02-29T17:50:49+00:00R. Alvarezralvaman2@outlook.comMiguel Camachoralvaman2@outlook.comElizabeth Rivera-Calderónralvaman2@outlook.com<p>Located in the Tarascan plateau, western Mexico, Paricutín volcano is the youngest monogenetic volcano in the country; it is located within 6 km of the only stratovolcano in that region: Tancítaro volcano. The objective is to define the location of Paricutín’s magma chamber and the magma conduits constituting its plumbing system. For that purpose, we use a high-resolution, satellite-derived gravity data set to obtain 3D density inversions at two spatial resolutions of 500 and 250 m. Results from the 500 m resolution led us to suspect that a branch of Tancítaro’s magma chamber fed Paricutín’s eruption; however, at this resolution, we could not find a magmatic path linking them. Results at the higher resolution (250 m) unveiled a channel within a high-density region, in which a vertical, low-density channel is located under Paricutín extending down to 5 km depth, including a region at sea level, that we associate with a small magma chamber owing to its shape and lower density. The volume identified as the magma chamber of Tancítaro volcano is enclosed by a formation of high-density material that appears to have been intruded prior to the emplacement of the Tancítaro magma chamber; its nature and composition cannot be determined with the available information.</p>2024-03-13T00:00:00+00:00Copyright (c) 2024 Román Alvarez, Miguel Camacho, Elizabeth Rivera-Calderónhttps://journals.scholarpublishing.org/index.php/TMLAI/article/view/16441Determine the Groundwater Recharge Zones in Erbil Basin2024-01-28T08:22:41+00:00Jwan Sabah Mustafajuan.sabah@yahoo.comDana Khider Mawloodjuan.sabah@yahoo.com<p>The identification and delineation of recharge zones are critical components in sustainable groundwater management. This study focuses on determining the recharge zones within the Erbil Basin, employing a combination of field investigations, hydrogeological assessments, and geospatial analyses using Groundwater Modeling system (GMS) software with the aid of Geographic information System (GIS). The study uses the historical and field observed geological formations data to evaluate the 3D visualization of unconfined, confined and semi-confined aquifer types within Erbil Basin in order to determine the Recharge area. The aim is to provide valuable insights into the spatial distribution and characteristics of areas where groundwater recharge predominantly occurs. The outcomes of this research contribute to a comprehensive understanding of recharge dynamics in the Erbil Basin. The delineation of recharge zones provides essential information for sustainable groundwater management, aiding in the development of effective land use planning and conservation strategies. The results of this study reveal a decline in groundwater levels within the Erbil basin over the period from 2004 to 2023. were 86.2 meters in the Kasnazan well and 125.86 meters in the Mala Omer well, both located within recharge zones of the Erbil groundwater basin. The findings will be valuable for local authorities, policymakers, and water resource managers, offering a basis for informed decision-making to ensure the long-term viability of groundwater resources in the Erbil Basin. The study emphasizes the importance of integrating multidisciplinary approaches to accurately identify and protect the crucial zones responsible for replenishing the groundwater system.</p>2024-03-13T00:00:00+00:00Copyright (c) 2024 Jwan Sabah Mustafa, Dana Khider Mawlood