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129 results for “model validation”
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Review ArticleOpen accessIn the abstractHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 601 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphological Database and Quantification of Liberica Coffee Beans Using a Hybrid CNN ModelDioneces O. Alimoren, Francis G. Balazon, Jonnah R. Melo et al.Traditional evaluation of Liberica coffee (Kapeng Barako) in Batangas is commonly performed through manual visual inspection and sensory judgment, which are slow, subjective, and difficult to reproduce across farms, buyers, and grading personnel. These limitations can lead to inconsistent quality classification, weak traceability, and reduced bargaining power for local producers. This study develops and validates a web-based morphological analysis system … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 875 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Arabic Named Entity Recognition with K-Fold Cross Validation on LSTM and Bi-LSTM ModelsHamid Sadeq Mahdi Alsultani, Ahmed H. AliwyNamed-Entity-Recognition(NER) is one of the most important Information-Extraction (IE) use cases, whichis used to improve the performance of Natural Languages Processing (NLP) tasks,such as Relation-Extraction (RE), Question-Answering (QA). Recently, Arabic NER is tackled in differentways by researchers. In this study, we assess the performance of two widelyused models, namely, LSTM and Bi-LSTM on the NER task in the Arabic languageand … …Journal of Computer Science, Vol. 18, Issue 9 · 6 Sep 2022 · 6,321 accessesView PDFCite
Research ArticleOpen accessIn the abstractPlant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy LogicBakti Amirul Jabar, Ditdit Nugeraha UtamaFunctional-Structural Plant Modelling (FSPM) isplant modeling that considers morphology, physiology, and statistical data. Oneof the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a languagedeveloped from System-L. This study aims to build a virtual plant model ofgreen amaranth (Amaranthus Sp.) in a hydroponic planting systemfor strategic decision-making. In … …Journal of Computer Science, Vol. 18, Issue 8 · 4 Aug 2022 · 5,996 accessesView PDFCite
Research ArticleOpen accessIn the abstractDecentralized Lean Business Model Canvas for Blockchain-Based EnterprisesEashwar Sivakumar, Paras ChawlaAgeneric decentralized lean business model canvas was developed using theprinciples of business process management and lean six sigma forblockchain-based systems presented in this study. Based on the literaturereview, it was found that business model canvas and lean canvas are some of themost widely used management tools. Business Model Canvas can be used forselling a specific product and lean canvas can … …Journal of Computer Science, Vol. 18, Issue 5 · 5 Jun 2022 · 7,455 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,537 accessesView PDFCite
Research ArticleOpen accessIn the abstractIdentification of Microbe-Drug Association based on Weighted Profile and Collaborative Matrix FactorizationZhu Ling-Zhi, Guixiang Li, Chunhua Li, Jun WangPrevious studies have shown that diseases are associated with microbe. To explore a more effective treatment for these diseases, unknown microbe-drug associations must be identified. However, existing models to identify microbe-drug association are limited. In our article, a predictive model (WPCMF) is presented for identifying microbe-drug associations based on weighted profile and collaborative matrix factorization. In WPCMF, the Gaussian Interaction … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 4 · 23 Jan 2022 · 5,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractKRLSMDA: Identifying Human miRNA–Disease Association Based on Similarity and Kronecker Regularized Least Squares MethodLingzhi Zhu, Weimin Gao, Guixiang Li et al.A growing number of studies have suggested that miRNAs (microRNAs) have associations with human diseases, the design and discovery of drug. But so far, we do not yet fully understand the molecular mechanism of miRNAs in the development of human diseases. Predicting miRNA-disease associations is helpful for understanding the molecular mechanism of miRNAs in the development of human diseases. However, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,408 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,539 accessesView PDFCite