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Research ArticleOpen accessIn the abstractA 2-Tier Stacking Ensemble Classifier for Disease ClassificationK. Sukanya Varshini, R. Annie UthraDiarrhea, dysentery, and dehydration are top of the list of high mortality-causing diseases in children under the age group of five. Despite the tremendous growth of machine learning in the field of medical research, still, some areas remain untouched, especially, the pediatric department. Since medical data is used in the proposed work, even a slight increase in the accuracy of … …Journal of Computer Science, Vol. 19, Issue 7 · 7 Jun 2023 · 5,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractDengue Fever Prediction Empowered by Radial Basis Function Networks, Dynamic Mode Decomposition, and Learning-Based Foraging AlgorithmArchana T, Faritha Banu JDengue fever is presently considered a major health threat that must be addressed. External and internal factors that induce nonlinear oscillations in the occurrence of dengue disease have made optimal resource allocation stimulating. Public health initiatives aimed at eradicating this vector use accurate and timely data through field processes. In dengue-endemic nations, early dengue prediction remains a main concern for … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessIn the abstractRain Events Detection using Energy Variation of Commercial Microwave Links AttenuationWend Yam Serge Boris Ouedraogo, Moumouni Djibo, Ali Doumounia et al.In this study, we propose a new method for detecting wet periods by using telecommunications Commercial Microwave Links (CML). The purpose of the study is to automatically find rain time slots. The attenuation of the microwave signal, propagating between a transmitting antenna and a receiving one, due to the variations of the climatic conditions over the link, is a non-stationary … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 20 Aug 2022 · 6,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Diagnosis of Soybean Leaf Disease by Transfer LearningXiao Yu, Qi Gong, Cong Chen, Lina LuSoybean diseases and insect pests are important factors that affect the output and quality of soybeans, thus it is necessary to do correct inspection and diagnosis of them. For this reason, based on improved transfer learning, this study proposed a classification method for soybean leaf diseases. Firstly, leaves were segmented from the whole image after removing the complicated background images. … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 2 · 29 Jun 2022 · 5,807 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Utilization of Mirroring Servers Using Artificial Neural NetworksRadwan Al-Shalalfa, Hazzaa Alshareef, Azzam Sleit et al.Due to the fact that an enormous amount of data is available to any user on the Internet, this leads to increased requests of Internet users to download or process their data among different servers. In fact, the need for increasing the reliability and performance of such servers has become an importance subject to tackle. Replicating servers is a way … …Journal of Computer Science, Vol. 18, Issue 1 · 2 Feb 2022 · 6,915 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid KNN Based Vector Neighbor Classification Model: A Machine Learning ApproachJ. Rathi, A. SumathiAnimal condition disease prediction is a crucial task in veterinary medicine, and accurate prediction can significantly improve animal health and reduce economic losses. This paper proposed a novel hybrid classification model that combines an Improved Fuzzy-based feature selection process with a Hybrid KNN-based Vector Neighbor Classification model to enhance animal condition disease prediction. The proposed model aims to improve the … …Journal of Computer Science, Vol. 21, Issue 9 · 21 Oct 2025 · 2,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractAgricultural Crop Disease Detection Using Convolutional Neural NetworksAtsu Alagah Komlavi, Harouna Naroua, Chaibou KadriMitigating food insecurity in Niger is of paramount importance. According to some researchers, agricultural yield is declining. The permanent annual food shortage was estimated to be between 25 and 50%. Loss of cereal agricultural production is caused by pests and plant diseases. Knowing that ordinary techniques became inefficient. Automatic detection of plant diseases using artificial intelligence becomes the best solution. … …Journal of Computer Science, Vol. 21, Issue 3 · 24 Jan 2025 · 7,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis Using Light Weight - Gradient Boosting Machine based Feature SelectionBikku Ramavath, Srikanth Kadainti, Nemani SubashSentiment analysis is a significant task in Natural Language Processing (NLP) that differentiates the emotions and opinions expressed in text or reviews. The sentiment analysis is challenging due to the complex language patterns and inappropriate or redundant features used for classification. In this research, the Light Weight - Gradient Boosting Machine (LWGBM) based feature selection is proposed to choose relevant … …Journal of Computer Science, Vol. 21, Issue 5 · 26 May 2025 · 4,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimedia Image Retrieval Using Novel Modelling of Combined Binary Patterns with Reduced DimensionsM. Geetha Yadav, SP. ChokkalingamAdvancements in computer vision have transformed image retrieval. However, many existing systems struggle to bridge the semantic gap between low-level features and high-level user expectations. This study proposed a new approach that combines texture and colour features to enhance retrieval accuracy and user satisfaction. The proposed method employs the HSV colour model to extract colour features, focusing on dominant features … …Journal of Computer Science, Vol. 21, Issue 4 · 14 Apr 2025 · 5,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlgorithmization of Electrostatic Model for Solving the Direct Problem of ElectrographyTagirbek Gaidarbekovich Aslanov, Naur Zamirovich Ivanov, Shamil Shamil`evich Anudinov, Tatiana Vladimirovna KarlovaAn analysis of the creation and implementation of algorithms to control cardiological processes occurring in the cardiovascular system using software and hardware diagnostic systems is a required activity. This study considers ways to improve the methods of medical data processing using electronic diagnostic systems, relying on existing methods of mathematical simulation of human body states. This study describes the development … …Journal of Computer Science, Vol. 21, Issue 4 · 7 Mar 2025 · 5,330 accessesView PDFCite