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73 articles for “Utilization Rate”
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Research ArticleOpen accessIn the abstractAlpha Power Inverted Exponentiated Weibull Distribution with Data ApplicationsAbdulkareem M. BasheerA novel extension of the Inverted Exponentiated Weibull (IEW) distribution is achieved through the utilization of the generator Alpha Power (AP) transformation. The resulting extended distribution is denoted as the Alpha Power Inverted Exponentiated Weibull (APIEW) distribution, which encompasses various sub-models. The statistical characteristics of the newly proposed distribution are established, encompassing the hazard rate function, mean residual life, mean … …Journal of Mathematics and Statistics, Vol. 20, Issue 1 · 21 Dec 2024 · 8,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractMinimising Energy Consumption in WSN-IoT Networks by Focusing on Quality of ServiceAnuradha, Tarun Gulati, Rajbhupinder Kaur et al.IoT networks are low-powered networks and resource allocation and efficient utilization are critical concerns. Network resources are allocated to the intermediate nodes to perform the various operations (sense, transmit, re-transmit, data aggregation, etc.). These operations are managed by the different layers (M.A.C., routing and PHY). Each layer consumes resources W.R.T. their operations and there is a need to manage the … …Journal of Computer Science, Vol. 20, Issue 10 · 13 Aug 2024 · 4,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Effects of Biomass Carbon Modified Bioretention Pond Fill Layer in Sponge City GardensWen Cao, Beibei ZuWith the expansion of urban green areas, the resulting increase in green waste has become the second-largest solid waste in the city. Green waste contains a lot of minerals and the recycling of its resources has become the urgent task of urban green development. Biochar technology is more in line with the concept of green environmental protection in Sponge City. … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 2 · 10 Jul 2024 · 4,474 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Deep Learning Libraries: TensorFlow and PyTorchFelipe Florencio, Thiago Valenç, Edward David Moreno, Methanias Colaço JuniorThrough the increase in deep learning study and use, in the last years there was a development of specific libraries for Deep Neural Network (DNN). Each one of these libraries has different performance results and applies different techniques to optimize the implementation of algorithms. Therefore, even though implementing the same algorithm and using different libraries, the performance of their executions … …Journal of Computer Science, Vol. 15, Issue 6 · 11 Apr 2019 · 10,298 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlavonoids from the Zizania latifolia Bracts: Extraction Optimization, Antioxidant Activity and Exploration in Strawberry PreservationTong Wang, Yuzhu Zhang, Lijie Ben et al.Zizania latifolia bracts are Z. latifolia-based agricultural waste materials, distributed in various parts of the world. In the current study, the Response Surface Method (RSM) was used to optimize the cellulase-assisted extraction of Total Flavonoids from Z. latifolia bracts (TFZB). Then, the in vitro antioxidant capacity and the potential effect on strawberry preservation were assessed. The results showed that the … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 15 Mar 2021 · 6,368 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 · 4,657 accessesView PDFCite
Research ArticleOpen accessIn the abstractBig Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom PatternsAmal Mohamed Mounir, Mohamed Ibrahim Marie, Laila Abd-ElhamidThe utilization of big data in infectious disease control represents a captivating opportunity, as these novel data streams offer the potential to enhance the timeliness of preventive measures. Various healthcare providers in both the public and private sectors generate, store, and analyse extensive datasets to enhance the quality of services they deliver. Recently, the outbreak of the new coronavirus, COVID-19, … …Journal of Computer Science, Vol. 20, Issue 10 · 2 Aug 2024 · 4,922 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 · 5,005 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 · 7,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractEndometritis Control and Enhanced Reproductive Performance in Aceh Cow Using Medicinal PlantsTeuku Armansyah, Tongku Nizwan Siregar et al.Antibiotic treatment for endometritis has some weaknesses due to its toxicity and unexpected side effects. Therefore, the utilization of plant extract as antimicrobials is an alternative to antibiotics. We aimed to evaluate the efficacy of betel leaf, moringa leaf, and garlic extracts in treating endometritis in Aceh cows. We used nine Aceh cows at 3-5 years old, 150-250 kg body … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 2 Oct 2023 · 5,480 accessesView PDFCite