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Research ArticleOpen accessIn the abstractComparative Analysis of GPT-4o and Gemini 1.5 Pro in Thai Exam SettingsKasidis Miankamnerd, Taechasith KangkhuntodThis study presents a comparative analysis of two advanced AI models, GPT-4o and Gemini 1.5 Pro, within the context of Thai standardized exams. The selected tests include POSN Biology, POSN Mathematics, A-Level Thai Language, and A-Level Social Studies, chosen based on consultations with educational experts to ensure relevance. Each AI model was tested three times on these exams to ensure … …Journal of Computer Science, Vol. 21, Issue 1 · 30 Dec 2024 · 7,200 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Based Feature Extraction Approaches for Dual Modalities of Autism Spectrum Disorder NeuroimagesMeenakshi Malviya, Chandra J, Nagendra NHigh-dimensional data, lower detection accuracy, susceptibility to manual errors, and the requirement of clinical experts are some drawbacks of conventional classification models available for Autism Spectrum Disorder (ASD) detection. To address these challenges and explore the affiliated information from advanced imaging modalities such as Magnetic Resonance Imaging (MRI) in structural MRI (sMRI) and resting state-functional MRI (rs-fMRI), the study applied … …Journal of Computer Science, Vol. 20, Issue 11 · 28 Sep 2024 · 5,087 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancement of Semantic Analysis Based on the Ontology Reengineering: A Case Study on Moroccan Tourism DomainKhalid Tatane, Asma Amalki, Ali BouzitThis article outlines a novel semi-automatic approach aimed at enhancing a foundational ontology associated with Moroccan tourism. The initial phase of this methodology involved extracting new conceptual entities and semantic relationships from heterogeneous and multi-format textual resources, using a meticulously curated suite of Natural Language Processing (NLP) tools. The subsequent phase focused on aligning this updated Ontological version (OTMv1: Ontology … …Journal of Computer Science, Vol. 20, Issue 8 · 30 May 2024 · 4,998 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 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 abstractA Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological ConditionsCharinee Prompukdee, Jaratsri Rungrattanaubol, Chayanin PratoomsootThai Traditional Medicine (TTM) is an integral part of Thai traditional culture, with a history which spans many centuries. As part of this tradition, a significant number of historical pharmacopoeias and herbal textbooks have been preserved but much of the content of these texts is hard to access and interpret and so this paper proposes a framework for applying knowledge … …Journal of Computer Science, Vol. 13, Issue 6 · 24 Jun 2017 · 7,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence Operating Model: A Proposal Framework for AI Operationalization and DeploymentMustapha Lahlali, Naoual Berbiche, Jamila El AlamiAt the heart of the newenterprise, across all activities, is a decision factory governed by some kindof intelligence. Among the great promises of Artificial Intelligence (AI) isits ability to lead to a significant evolution in the amount of data received,processed, or generates by companies, particularly those with a digitalconnotation. To bring about dramatic changes, AI does not need to be … …Journal of Computer Science, Vol. 18, Issue 11 · 16 Nov 2022 · 6,846 accessesView PDFCite
Research ArticleOpen accessIn the abstractSero-Prevalence of Rift Valley Fever and Brucellosis in Cattle of Northern Benin, West AfricaKadoéito Cyrille Boko, Abdoulkarim Issa Ibrahim, Yao Akpo et al.Abortive diseasessuch as Brucellosis and Rift Valley Fever are among the major constraints forruminant breeding due to the economic losses they cause for the animal keepersand the risk of human and environmental contamination. A serological study wasconducted, from August to October 2021, in the commune of Malanville to assessthe prevalence of the two diseases in Northern Benin. 92 blood samples … …American Journal of Animal and Veterinary Sciences, Vol. 17, Issue 4 · 27 Oct 2022 · 5,863 accessesView PDFCite
Review ArticleOpen accessIn the abstractArtificial Intelligence in e-Health: A Review of Current Status in Healthcare and Future Possible Scope of ResearchSapna Katiyar, Artika FarhanaArtificialIntelligence (AI) has been emerging promptly currently due to softwarealgorithms, hardware employment, and applications in many sectors. TheHealthcare sector is drawing the attention of healthcare professionals andresearchers from a multidisciplinary viewpoint like administration, business,finance, record keeping, decision making, and services. Extensive usage ofelectronic health records gives rise to an immense quantity of clinical data.For patient welfare, disease diagnosis is vital … …Journal of Computer Science, Vol. 18, Issue 10 · 6 Oct 2022 · 6,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDFCite