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Literature ReviewOpen accessIn the abstractMachine Learning Software Architecture and Model Workflow. A Case of Django REST FrameworkKennedy Ochilo Hadullo, Daniel Makini GetunoThe purpose of this study was to find out the challenges facing Machine Learning (ML) software development and create a design architecture and a workflow for successful deployment. Despite the promise in ML technology, more than 80% of ML software projects never make it to production. As a result, majority of companies around the world with investments in ML software … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 28 Jul 2021 · 8,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtension Model Based on Farmers’ Resources and Need to Improve Feed Technology AdoptionAgustina Abdullah, Indrawirawan IndrawirawanFeed technology is essential for improving beef cattle productivity, yet its adoption by farmers often remains partial and misaligned with their actual needs. This study aimed to develop a context-responsive agricultural extension model to enhance the adoption of feed-related innovations among beef cattle farmers. The research was conducted in Herlang and Bulukumpa Districts, Bulukumba Regency, South Sulawesi, Indonesia. Using a … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 1 · 5 May 2026 · 1,467 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntology Based Knowledge Management System Design for Organic FarmingMuqeem Ahmed, Afrah Fathima, Mohammad Islam et al.In the current agricultural system, information is often gathered manually, and farmers make decisions based on their judgment. Occasionally, they seek advice from experts and extension officers. Numerous information systems have recently emerged, offering insights into organic farming practices. However, this information is dispersed across various contexts, formats, and media on the Internet, making it challenging to access. Utilizing ontology … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,427 accessesView PDFCite
Research ArticleOpen accessIn the abstractUsing Expert Evaluation to Assess the Implementation of Persuasive Design in e-CommerceAmjad Al-mutairi, Majed AlshamariIt has been argued that the use of persuasive design in e-commerce applications has a positive impact on user behavior and on converting browsers into buyers. Effective e-commerce applications successfully gain customers’ trust. Thus, it is important for designers to know how to apply and embed persuasive design models in e-commerce applications. This study aimed to assess the extent to … …Journal of Computer Science, Vol. 16, Issue 10 · 18 Oct 2020 · 6,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractExploring the Causal Factors of Recidivism among Children in Conflict with the Law: The Case of Addis Ababa Women’s, Children and Youth Affairs Rehabilitation Center, EthiopiaDemelash Kassaye Debalkie, Fiseha AbadiRecidivism is a complex issue arising from a variety of sources. The increasing number of children in conflict with the Law in Ethiopia became a pressing issue of the law enforcement agencies to reduce the participation of children in crime. This study aims to identify the factors motivating children to commit crimes after rehabilitation. Children aged 12-15 years and experts … …Journal of Social Sciences, Vol. 21, Issue 1 · 11 Mar 2025 · 6,112 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Telecommunication Network Management with Autonomous Optimization Agents and Machine LearningDanny Adil Sibarani, Evaristus Didik MadyatmadjaThis study explores the integration of Machine Learning (ML) and Autonomous Optimization Agents (AOAs) in the management and optimization of Radio Access Networks (RAN). The research addresses the growing challenges posed by the need for skilled network experts capable of managing and analyzing large-scale network data, including Key Performance Indicators (KPIs) and thousands of network configuration parameters. To overcome these … …Journal of Computer Science, Vol. 21, Issue 2 · 4 Mar 2025 · 7,041 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Benefits and Barriers as a Critical Success Factor in IT Governance Implementation by Using Interpretive Structural ModelUky Yudatama, Achmad Nizar Hidayanto, Bobby A.A NaziefThis study aims to identify and analyze the key sub-factors of benefits and barriers as critical success factors for the implementation of IT Governance. The hope of the research is that the results of this identification and analysis can provide a high value of benefits in order to stakeholders in implementing IT Governance. In addition, it is expected to also … …Journal of Computer Science, Vol. 15, Issue 7 · 25 Jul 2019 · 7,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Ontological Approach for Dental Extraction Decision Making and Knowledge Dissemination – A Pilot Study for Dental Extraction ForcepsShanmuganathan Vasanthapriyan, Kuhaneswaran BanujanTooth extraction is one of the most usual surgical procedure in the field of dental. Not having proper knowledge of tooth and extraction instruments may cause too much complexity in extraction procedure or even some damages to patients’ jaws. Mainly when using extraction forceps, the proper forceps should be used according to the teeth and the situation. So, it is … …Journal of Computer Science, Vol. 15, Issue 6 · 24 Jun 2019 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Counting for Live and Dead Cells from Trypan Blue-Stained Images by Image Analysis Based on Adaptive K-Means ClusteringSu Mon Aung, Kanyanatt Kanokwiroon, Tonghathai Phairatana, Surapong ChatpunComputer-assisted image analysis can be employed to reduce the time consumed in the routine task such as cell counting. This study aimed to establish a method to perform this routine task based on an image analysis to automatically count live and dead cells after staining with trypan blue dye. Gray scale conversion and morphological operation were applied to the input … …Journal of Computer Science, Vol. 15, Issue 2 · 1 Mar 2019 · 8,566 accessesView PDFCite