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63 results for “Methodology Framework”
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Review ArticleOpen accessIn the abstractEconomic Theory and Machine Learning Integration in Asset Pricing and Portfolio Optimization: A Bibliometric Analysis and Conceptual FrameworkPatrick Kevin Aritonang, Sudarso Kaderi Wiryono, Taufik FaturohmanThe integration of Machine Learning (ML) with economic theory has transformed financial market analysis, particularly in asset pricing and portfolio optimization. This study synthesizes existing research, identifies gaps and elucidates ML's impact on enhancing economic models and strategies through a Systematic Literature Review (SLR) of 401 relevant documents using bibliometric methodology and VOS viewer. Results show an increasing trend in … …Journal of Computer Science, Vol. 20, Issue 10 · 7 Aug 2024 · 5,715 accessesView PDFCite
Research ArticleOpen accessIn the abstractFramework for the Adaptive Learning of Higher Education Students in Virtual Classes in Peru Using CRISP-DM and Machine LearningMaryori Bautista, Sebastian Alfaro, Lenis WongDuring the COVID-19 pandemic, virtual education played a significant role around the world. In post-pandemic Peru, higher education institutions did not entirely dismiss the online education modality. However, this virtual education system maintains a traditional teaching-learning model, where all students receive the same content material and are expected to learn in the same way; as a result, it has not … …Journal of Computer Science, Vol. 20, Issue 5 · 26 Feb 2024 · 5,885 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Manufacturing in Mining. Adopting Machine Learning to Improve a Copper Milling ProcessFederico Walas Mateo, Andrés Redchuk, Julian Eloy TornilloNowadays industries like mining are focused in the need of improving processes towards net zero emissions and accomplishing with united nations' sustainable development goals. This article presents a case at a copper mine where an artificial intelligence solution is adopted to optimize industrial processes. The paper illustrates the way a software solution using a low code platform framework can democratize … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 15 Apr 2023 · 6,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetecting Novelty in Indonesian Research Grant Proposals Using Machine Learning and Natural Language ProcessingWalanstar Alimcan Sitorus, Evaristus Didik MadyatmadjaAssessing the novelty of research proposals represents a critical challenge in large-scale research grant management, particularly when the number of submitted proposals is substantial and topic diversity continues to increase. This study proposes an analytical approach to detect the novelty of Indonesian academic research proposal titles by leveraging semantic similarity based on Natural Language Processing (NLP). The CRISP-DM framework is … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Aug 2026 · 1,067 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 914 accessesView PDFCite
Research ArticleOpen accessIn the abstractBridging Traditional Craftsmanship and Digital Interaction through User-Centered Design: Designing Intuitive InterfacesChristopher Kevin Gunawan, Ravi Ardiza Putra, Steven Albert et al.Traditional craftsmanship served as both a manifestation of cultural heritage and a vital pillar of the global creative economy. However, its digital integration was frequently hindered by low technological literacy and misalignment between manual practices and standardized digital systems. Existing digital interventions primarily focused on passive e-commerce storefronts and often ignored the socio-economic precarity of craftsmen operating as independent contractors … …Journal of Computer Science, Vol. 22, Issue 6 · 5 Jun 2026 · 1,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,542 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning and Image Analytics for Forest Land Management: Classification, and Object DetectionDevam Dixit, Aditya Bhavsar, Shreyas Jani, Nilesh YadavRapid urbanization and industrialization have contributed to deforestation which has led to a severe degradation of the environment and biodiversity loss. Traditional field survey methods are not applicable in the monitoring of large forest areas due to the fact that such methods are manual, costly and time consuming as well as subject to human error. The current methods of remote … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessIn the abstractRisk Assessment of Healthcare Information Systems in Indonesian Regional Government Hospitals Using ISO 27001:2022Deo Alif Alfitrah, Nilo LeegowoThe growing number of cyber-attacks targeting the healthcare sector, particularly Indonesian regional government hospitals, reflects the absence of a structured information security management system. Issues such as shared account usage, lack of staff security training, and undocumented incident reporting present serious risks to patient data. This study aims to assess the current state of information security in a government hospital … …Journal of Computer Science, Vol. 22, Issue 3 · 13 Mar 2026 · 2,416 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of the Water Quality of Dakhla Bay (South Morocco): Qualification and Classification According to the European MethodologyZohra Saad, Orbi Abdellatif, El Khattat Mahmoud, Oudra BrahimDakhlabay has become a center of socio-economic interest in southern Morocco due toits geographical location and its biological richness. During the last decade,several projects have been installed and the exploitation of this ecologicalniche has increased. Faced with this situation, it was necessary to assess thequality of the waters of Dakhla bay and determine its current ecologicalstatus. To do this, the … …American Journal of Environmental Sciences, Vol. 18, Issue 4 · 28 Sep 2022 · 6,808 accessesView PDFCite