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89 results for “Research Utilization”
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Research ArticleOpen accessIn the abstractAdvancements In Precision Agriculture: A Review on Image-Based Stress Detection and Predictive Yield Loss ModelingA. Josephine, A. SubhashiniPrecision agriculture utilizes cutting-edge technologies to maximize the management of crops, enhance utilization of resources, and maximize yield forecasting. This study critically analyzes 53 peer-reviewed articles to evaluate advancements in image-based stress detection and yield prediction techniques for precision agriculture. The review enumerates main issues, such as image-based analysis methods, different crop stress aspects (biotic, environmental, and abiotic), and remote … …Journal of Computer Science, Vol. 21, Issue 11 · 28 Dec 2025 · 2,508 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncreasing Immunity in Young Cattle Through the Use of the Probiotic Preparation Lactobact-ARZMyktybaeva Raya, Alpeisov Shokhan, Kozhakhmetova Zubaira, Kyrgyzbay NazymAccording to the Kazakhstan national animal health monitoring system, the mortality rate of young farm animals ranges from 4.2% to 7.8%, with gastrointestinal diseases being the main registered condition. This study aimed to create a locally produced probiotic, formulated using a consortium of lactic acid bacteria, to enhance the immune function of young farm animals. The study utilized a newly … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 3 Dec 2025 · 2,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractIsolation and Characterization of Collagen from IndonesiaLocal Duck Feet Using Bromelain EnzymeRafika Mila Amanah, Dita Prameswari Trenggono Putri, Mohammad Zainal Abidin et al.The utilization of local duck feet as a collagen source to minimizewaste and add value to the duck by-product. This research aimed to isolate andcharacterize collagen from Local duck feet using enzymatic method. Thebromelain enzyme in various concentrations: 0% (A), 0.2% (B), 0.4%(C), 0.6%(D), and 0.8% (E). Variables observed were collagen yield, viscosity, pH,Fourier Transform Infrared Spectroscopy (FTIR), and Sodium … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 24 May 2025 · 5,165 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractStroke Risk Assessment with Classical ML MethodsMohammad Aref Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh et al.Stroke, often caused by a disruption in the supply of essential oxygen, blood, and nutrients to the brain, represents a significant global health challenge. Due to limited resources, developing countries like Ethiopia face unique obstacles in identifying and treating strokes. This study explores the potential of Machine Learning (ML) techniques to predict stroke risk and facilitate early detection and intervention. … …Journal of Computer Science, Vol. 21, Issue 1 · 18 Dec 2024 · 4,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Analysis of Smote and CSSF Techniques for Diabetes Classification Using Imbalanced DataBashar Hamad Aubaidan, Rabiah Abdul Kadir, Mohamad Taha IjabDiabetes, a prevalent chronic metabolic disorder, poses a significant burden on healthcare systems worldwide. Accurate and timely diagnosis is crucial for effective management and complication prevention. Machine learning presents a promising solution but often faces challenges due to class imbalance within datasets, particularly the underrepresentation of diabetic cases. To address this issue, we introduce Cluster-based Synthetic Sample Filtering (CSSF), a … …Journal of Computer Science, Vol. 20, Issue 9 · 22 Jul 2024 · 4,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI Drive Assist: Enhancing Road Safety through Advanced Road Sign Detection and Driver AlertsLazeen Manasia, Mufaddal Bharmal, Harshita Singhvi et al.Road accidents claim approximately 1.35 million lives annually, as highlighted by the World Health Organization, making them a leading cause of death worldwide. With this sobering statistic in mind, addressing road safety concerns through advanced AI technologies becomes increasingly imperative. This research paper highlights practical implications for both road safety enhancement and the advancement of artificial intelligence technology within the … …Journal of Computer Science, Vol. 20, Issue 8 · 1 Jun 2024 · 7,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractPropose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka VisualizationMagda Shuayb, Ashraf Fadiel, Taher Abu-LebdehThe aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 4 · 8 Jan 2024 · 4,885 accessesView PDFCite
Review ArticleOpen accessIn the abstractOverview of the Most Popular Currently Used Murine Models of AtherosclerosisAnastasia Vladimirovna Poznyak, Victoria Alexandrovna Khotina, Alexandra Alexandrovna Melnichenko et al.Atherosclerosis is a widespread and serious problem. Every year it causes a huge number of deaths and morbidity. Many aspects of this disease remain not fully understood, which indicates the need to search for the most representative model of atherosclerosis in animal and cell culture models. Animal models resembling the pathophysiology in humans are needed to study the immunometabolic mechanisms … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 4 Jan 2024 · 4,669 accessesView PDFCite