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Research ArticleOpen accessIn the abstractBangla↔English Machine Translation Using Attention-based Multi-Headed Transformer ModelArgha Chandra Dhar, Arna Roy, M. A. H. Akhand et al.Machine Translation (MT) refers to translate texts or documents from the source language into the target language without human intervention. Any MT model is language-dependent and its development requires grammar, phrase rules, vocabulary, or relevant data for the particular language pair. Hitherto, little research on MT for Bangla-English is reported in the literature, although Bangla is a major language. This … …Journal of Computer Science, Vol. 17, Issue 10 · 10 Nov 2021 · 8,469 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparing Approaches for Quality Evaluation of Software Engineering Experiments: An Empirical Study on Software Product Line ExperimentsViviane R. Furtado, Henrique Vignando, Victor França, Edson OliveiraJrThe Software Engineering (SE) research area must provide results of a certain quality for the sake of value. High quality research results may ensure experience and knowledge, which are essential for the technology to be transferred to the industry. One of the means to obtain such quality results is experimentation. Experimentation is a scientific method that aims to provide evidence … …Journal of Computer Science, Vol. 15, Issue 10 · 25 Apr 2019 · 7,747 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarly Plant Disease Detection Using Graph Isomorphic Networks: Enhancing Crop Yield Through Leaf AnalysisD. Sumathi, Sreejyothsna Ankam, Pravin Prakash Adivarekar et al.The economy of Tanzania is mostly driven by agriculture. Disease is one of the reasons that contributes to the low production of staple foods like cassava and maize, alongside climate change. Loss of income and food security are the results. In order to detect the diseases early, preventative measures are required. A potential option for farmers could be the use … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 3,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Indoor Asset Tracking: IoT Integration and Machine Learning Approaches for Optimized PerformanceRafiq Hamadamin Maulud, Sadegh Abdollah AminifarIndoor asset tracking entails the surveillance and governance of the position and movement of tangible assets within enclosed spaces, including warehouses, hospitals, and workplaces. Indoor asset tracking systems employ technologies such as Radio Frequency Identification (RFID), Bluetooth Low Energy (BLE), Wi-Fi, and UWB (Ultra-Wideband) to deliver real-time visibility and precise placement of goods. This research introduces indoor asset tracking with … …Journal of Computer Science, Vol. 21, Issue 7 · 7 Jul 2025 · 3,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractWater Resource Evaluation and Identifying Groundwater Potential Zones in Arid area using Remote Sensing and Geographic Information SystemM.M. Kamruzzaman, Saad Awadh Alanazi, Madallah Alruwaili et al.Groundwater resource is the main conventional source of fresh water all over the world. However, recent revelations indicated that the shortage of water resources remains the main challenge for the arid areas. In this regard, identifying groundwater potential zones or areas can help to improve the availability of fresh water and effective management of groundwater in arid areas. This work … …Journal of Computer Science, Vol. 16, Issue 3 · 3 Mar 2020 · 8,870 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Risk Management Strategies for Additive Manufacturing Supply ChainsBandar Altubaishe, Jahlani Clarke, Christina McWilliams, Salil DesaiSupplier selection is an important strategic decision to be made in additive manufacturing supply chains. This paper presents a hybrid Analytic Hierarchy Process-Preference Ranking Organization Method for Enrichment of Evaluations (AHP-PROMETHEE) algorithms-based Failure Mode and Effects Analysis (FMEA) for supplier selection in a risk-based environment. Our approach is contrasted with an FMEA based on a Fuzzy Analytic Hierarchy Process (FAHP) … …American Journal of Applied Sciences, Vol. 16, Issue 8 · 17 Oct 2019 · 8,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Technical, Economic and Environmental Evaluation Study of Utilising Fixed, Single and Dual-Axis Solar Photovoltaic Systems in Boubyan and Failaka Islands in KuwaitDr. Abdulla AL-RashidiImplementing renewable energy technologies, such as solar energy, is an important step towards meeting the increasing demand for electricity in Kuwait. This would be a very helpful way of minimising the negative environmental impacts of conventional power plants. This study reports on the results of a comprehensive technical, environmental and economic evaluation of the use of a grid-connected solar photovoltaic … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 9 Nov 2019 · 7,603 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractDataset of Selected Medicinal Plant Species of the Genus Brachylaena: A Comparative Application of Deep Learning Models for Plant Leaf RecognitionAvuya Deyi, Arnaud Nguembang Fadja, Eleonora Deborah Goosen et al.Since several active pharmaceutical ingredients are sourced from medicinal plants, identifying and classifying these plants are generally a valuable and essential task during the drug manufacturing process. For many years, identifying and classifying those plants have been exclusively done by experts in the domain, such as botanists and herbarium curators. Recently, powerful computer vision technologies, using deep learning or deep … …Journal of Computer Science, Vol. 19, Issue 11 · 17 Oct 2023 · 6,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,403 accessesView PDFCite