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Research ArticleOpen accessIn the abstractEnhancing Brain MR Image Quality Using CNN With Best Denoising Modality for Improved Diagnosis of Abnormality: An AppraisalKavery Verma, Subodh Srivastava, Ritesh Kumar MishraDigital medical images acquired from the brain are highly susceptible to noise, which causes significant challenges for radiologists to identify abnormalities in a precise manner. Noise interference hampers both diagnostic accuracy and the interpretation of underlying abnormalities, potentially leading to flaw conclusions. Magnetic Resonance (MR) imaging is the most preferred digital imaging technique for brain abnormality detection. To achieve precise … …Journal of Computer Science, Vol. 22, Issue 3 · 26 Mar 2026 · 1,470 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Different Extraction Methods on the Quality of Peony Seed Oil and Its Emulsion PropertiesKang Li, Chao Du, Shuxian Pang et al.Peony seed oil, as a functional oil rich in ω-3 polyunsaturated fatty acids and natural antioxidant components, has its extraction process directly affecting the maintenance of bioactive substances and the added value of the product. In this analysis, the effects of wet milling-micronized continuous leaching method (MCI), solvent extraction (SE), soxhlet extraction (SOXE) and ethanol-assisted enzymatic hydrolysis (EAH) on the … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 1,965 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT-Based Smart Hydroponic System for Nutrient Management Using Predictive Machine Learning AlgorithmsPalash Gourshettiwar, K. T. V. ReddyHydroponics, an efficient cultivation method, benefits significantly from the precision and adaptability that Machine Learning (ML) algorithms can offer, along with the real-time monitoring facilitated by the devices using the Internet of Things (IoT). This study summarises the latest research and discusses how Machine Learning and the IoT work together, focusing on nutrient optimization, plant development, and resource efficiency. The … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,056 accessesView PDFCite
Review ArticleOpen accessIn the abstractCrime Prediction Using Machine Learning: A Comparative AnalysisAbdulrahman Alsubayhin, Muhammad Ramzan, Bander AlzahraniIn the past few years, Machine Learning (ML) methods have acquired extensive attention from researchers and even criminology practitioners for their potential in crime prediction and crime forecast. To date, many research studies have already been performed on crime prediction using machine learning techniques. Some common methods that have been used include KNNs, Decision trees, Naïve Bayes, and random forest, … …Journal of Computer Science, Vol. 19, Issue 9 · 29 Aug 2023 · 8,065 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Patient Consent Management Model for Health Information Exchange Based on Blockchain TechnologyK. R. Rohini, P. S. Rajakumar, S. GeethaInnovation for Electronic Medical Records (EMRs) has been hindered by years of excessive regulation and inefficient bureaucracy. As data science and personalization encourage individuals to take an active role in their healthcare and regain control of their own medical records, there is an urgent need for new approaches. The ability to exchange electronic health records is fundamental in contemporary healthcare … …Journal of Computer Science, Vol. 20, Issue 7 · 17 Apr 2024 · 7,351 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approach for Finding Semantic Relatedness Score Between Two Sentences Based on their SensesNazreena Rahman, Bhogeswar BorahFinding semantic relatedness score between two sentences is useful in many research areas. Existing relatedness methods do not consider its sense while computing semantic relatedness score between two sentences. In this study, a Word Sense Disambiguation (WSD) method is proposed which is used in finding the sense-oriented sentence semantic relatedness measure. The WSD method is used to find the correct … …Journal of Computer Science, Vol. 17, Issue 6 · 9 Jun 2021 · 6,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolation and Culture of Oocytes from Dairy Cows' Ovaries for Productivity in the Southeastern Region of KazakhstanDauren Maratovich Bekenov, Batyrkhan Azimkhanovich Buralkhiev, Yusupzhan Artykovich Yuldashbayev et al.This research work aims to study methods for isolating and culturing follicular oocytes from Holstein cows in vitro. The proven complex of technologies for embryo transplantation on an industrial scale will provide a 3-5-fold acceleration of reproduction of highly productive cows. As a result of scientific research, biotechnological methods of accelerated reproduction of dairy cattle have been substantiated and introduced … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 14 Oct 2024 · 4,304 accessesView PDFCite
Research ArticleOpen accessIn the abstractMicrobial Diversity as a Biological Control Mechanism for Fruit Tree Diseases: A Comparative ApproachZhichao TangThe traditional methods of fruit tree pest control have long relied on chemical pesticides. This not only leads to increased resistance of pests and diseases but also adversely affects the ecological environment and fruit safety. Although biological control has gradually received attention, the current research on how to systematically use microbial diversity to achieve efficient control and prevention is still … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 8 Apr 2026 · 1,607 accessesView PDFCite
Research ArticleOpen accessIn the abstractReciprocity Effect between Cognitive Style and Mixed Learning Method on Computer Programming SkillAnthony Anggrawan, Christofer Satria, Mayadi, Ni Gusti Ayu DasrianiMany universities undertake mixed learning to meet the required needs. Mixed learning is a blend of F2F classroom education and online learning education. The strength of mixed learning is that it supports student cognitive styles more than non-mixed learning. The right mix of mixed learning provides more constructive and conducive learning. Meanwhile, the programming language is the primary skill that … …Journal of Computer Science, Vol. 17, Issue 9 · 30 Sep 2021 · 6,210 accessesView PDFCite