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Research ArticleOpen accessIn the abstractBeatbox Classification to Distinguish User Experiences Using Machine Learning ApproachesJason Martanto, Iman Herwidiana KartowisastroResearch regarding beatbox classification has generated a relatively significant growth in the past decade. Although the differences between contributors’ expertise within a vocal percussion dataset have been mentioned in previous works, the impact of those discrepancies has not been thoroughly investigated. In this study, the authors explore performances of machine learning algorithms for beatbox classification, with an emphasis on prior … …Journal of Computer Science, Vol. 21, Issue 4 · 18 Mar 2025 · 5,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDFCite
Case ReportOpen accessIn the abstractSurvival Following Severe Paraquat Poisoning a Case Study from the Andaman and Nicobar IslandsShiv Shankar Singh, Colin Sanchez, Prasan Kumar PandaParaquat poisoning continues to pose a significant public health challenge in the Andaman and Nicobar Islands, largely due to its alarmingly high mortality rate. In this report, we present the case of a 39-year-old male farmer who ingested 30 mL of paraquat with the intent of suicide. Initially, the patient underwent prompt gastric lavage and exhibited relative stability. Upon admission, … …American Journal of Pharmacology and Toxicology, Vol. 19, Issue 1 · 22 Jan 2025 · 10,605 accessesView PDFCite
Research ArticleOpen accessIn the abstractLand Cover Changes from Forest Fires Using CA-Markov in Pelalawan, IndonesiaApri Zulmi Hardi, Abdulkader Ali MuradForest and land fires pose significant risks to ecosystems, particularly in Pelalawan Regency, Indonesia, where slash-and-burn practices during the dry season exacerbate peatland degradation. This study integrates Cellular Automata (CA) and Markov-chain analysis to model and predict land cover changes and carbon stock dynamics over the next 20 years. The model projects spatial patterns of land cover changes from 2002-2033 … …Journal of Computer Science, Vol. 21, Issue 2 · 31 Dec 2024 · 4,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractTaxonomic Revision of the Genus Rhaponticum (Asteraceae) of KazakhstanSaule Alikhankyzy Mamyrova, Andrey Nikolayevich Kupriyanov, Anna Andreevna Ivashchenko, Serik Argynbekovich KubentayevAn overview of the genus Rhaponticum Vaill. is presented, as growing on the vast territoryof Kazakhstan. The study is based on field materials, literature and accuraterevision of herbarium materials. Data from more than 240 herbarium specimens storedin herbarium collections were analyzed: LE, AA, MW, TASH, KUZ, KG, NUR andMANG. The article provides illustrations and data on the general distribution,ecological occurrence, … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 22 Aug 2024 · 4,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractGenetic Analysis of Bifidobacteriaceae in a Fermented Milk and Colostrum Product in Relation to Immune FunctionMarco RuggieroThis study investigates the microbial composition of a commercially available Swiss fermented milk and colostrum product with a history of use in chronic condition management since 2014. The analysis, performed using the Axiom Microbiome Array, identified a high number of targets corresponding to microbial species classified as probiotics belonging to the Bifidobacteriaceae family. The array provided 28 unique targets, each … …American Journal of Immunology, Vol. 19, Issue 1 · 2 Aug 2024 · 9,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractLogistic Regression with Multi-Connected WeightsAvazjon Marakhimov Rakhimovich, Kabul Khudaybergenov Kadirbergenovich, Zahriddin Muminov Ishkobilovich, Kudaybergenov Jabbarbergen KadirbergenovichResults of current research in biological and cognitive science reveal that neuronal interactions predominantly depend on neurotransmitters for signaling and sending information between neurons. Furthermore, a specific neuron that is connected to the next neuron transmits or sends multiple neurotransmitters in parallel ways, where each neurotransmitter has specific functional roles. Based on these results, a new type of logistic regression … …Journal of Computer Science, Vol. 20, Issue 9 · 4 Jul 2024 · 5,059 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Semantic Web Retrieval Through Ontology-Driven Feature Extraction: A Novel PropositionMeer Hazar Khan, Muhammad Imran Sharif, Mehwish Mehmood et al.Web images represent unstructured data sets which often lead to challenges when users try to locate distinct images via text-based searches on the web. Such difficulties stem from different factors, e.g., redundant image storage, irrelevant metadata tags, and incorrect associations. To overcome this issue, we propose a semantic model based on the ontology language that enables users to find images … …Journal of Computer Science, Vol. 20, Issue 5 · 23 Feb 2024 · 5,562 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Oceanographic Data for Prediction of the Potential of Marine ResourcesDenny Arbahri, Oky Dwi Nurhayati, Imam MuditaMarine data and information are very important for human survival, therefore this data and information is attractive to investors because of the potential economic value. This data and information has been difficult to obtain, the solution to overcome this is by analyzing oceanographic data for 2009-2019 collected from the marine database belonging to the Agency for the Study and Application … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,970 accessesView PDFCite