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CorrigendumOpen accessIn the abstractCorrigendum: An Efficient Cell Placement Using Gravitational Search AlgorithmsRose Al Qasem, Taisir EldosCorrection to: Journal of Computer Science http://doi.org/10.3844/jcssp.2013.943.948, published online 01 August 2013; updated 11 April 2018 The original version of this Article contained errors in the affiliation for Tasir Eldos. The correct affiliation for Mr. Tasir Eldos is as follows: Department of Computer Engineering, Jordan University of Science and Technology, Al Ramtha, Irbid Jordan These errors have now been corrected … …Journal of Computer Science, Vol. 14, Issue 3 · 12 Apr 2018 · 7,573 accessesView PDFCite
CorrigendumOpen accessIn the abstractCorrigendum: Adaptive Resonance Theory Training Parameters: Pretty Good SetsTasir Mohammad Eldos, Abdulaziz Suleiman AlmazyadCorrection to: Journal of Computer Science http://doi.org/10.3844/jcssp.2010.1443.1449, published online 01 December 2010; updated 11 April 2018 The original version of this Article contained errors in the affiliation for Tasir Eldos. The correct affiliation for Mr. Tasir Eldos is as follows: Department of Computer Engineering, Jordan University of Science and Technology, Al Ramtha, Irbid Jordan These errors have now been corrected … …Journal of Computer Science, Vol. 14, Issue 3 · 12 Apr 2018 · 7,269 accessesView PDFCite
CorrigendumOpen accessIn the abstractCorrigendum: Simulated Annealing with Deterministic DecisionsTasir EldosCorrection to: Journal of Computer Science http://doi.org/10.3844/jcssp.2009.974.979, published online 01 December 2009; updated 11 April 2018 The original version of this Article contained errors in the affiliation for Tasir Eldos. The correct affiliation for Mr. Tasir Eldos is as follows: Department of Computer Engineering, Jordan University of Science and Technology, Al Ramtha, Irbid Jordan These errors have now been corrected … …Journal of Computer Science, Vol. 14, Issue 3 · 12 Apr 2018 · 7,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment and Validation of a 2D Finite Element Model for Air Pollution Dispersion (SUITE-2D)Youssef Ismail HafezThis paper presents the development and validation of SUITE-2D (Solving Unsteady Incompressible Transport Equation in Two Dimensions), a two-dimensional finite element model for solving the advection-diffusion transport equation with decay and source terms. The model provides an efficient and accurate approach for simulating pollutant dispersion in environmental systems. The finite element formulation uses the standard Galerkin method, with numerical integration … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 22 Dec 2025 · 3,127 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Weather Data Management System for Sustainable Agriculture in Maharashtra Using Machine LearningAishwarya V. Kadu, Kuraparthi Tirumala V. ReddyAgriculture will benefit greatly from efficient weather data sustainable management. Data can be utilized to schedule the prediction yield, crop growth, and irrigation. This paper collects real-time meteorological station data via APIs, primarily focusing on the weather data sustainable management system and data related to Maharashtra Wardha, India, which is involved in a live series period. Agriculture can make potential … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractAudit of the Quality of Data on Human Immunodeficiency Virus Infection in 2022 in Burkina FasoIsmaël Diallo, Maurice Sarigda et al.Burkina Faso pledged to reach the worldwide objective of eliminating HIV/AIDS by 2030. Therefore, its information system must be able to provide quality data for monitoring and evaluating progress. This study assessed the quality of data on HIV/AIDS in Burkina Faso. We conducted an audit on the promptitude, exhaustivity, and exactitude in the management of data regarding HIV/AIDS. The survey … …American Journal of Infectious Diseases, Vol. 21, Issue 1 · 5 Jul 2025 · 5,753 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhanced Algorithm for Small Object Detection based on Thermal Imaging Using YOLOv8-EPBRavina Gupta, Sarika Jain, Manoj KumarObject detection is one of the most important and challenging problems in the computer vision domain. Using the power of deep models, researchers have carefully explored and made significant contributions to increasing the effectiveness of object detection and related tasks, such as object identification, localization, and segmentation. This progress is due to the rapid progress of deep learning in the … …Journal of Computer Science, Vol. 21, Issue 6 · 13 Jun 2025 · 4,212 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on Deep Neural Network for Afaan-Oromo Language Text-to-Speech SynthesisDiriba Gichile Rundasa, Arulmurugan Ramu, Teshome Debushe Adugna et al.Text-to-speech synthesis is the automatic translation of unlimited natural language sentences from Text to spoken form that closely mimics the spoken form of the same Text by a native speaker of the language. The purpose of a Texttext-to-speech synthesizer is to generate comprehensible, natural signalling human voice from text transcriptions. Despite the wide range of potential applications for Text-to-speech systems, … …Journal of Computer Science, Vol. 21, Issue 5 · 14 Apr 2025 · 7,346 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite