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294 articles for “Cost performance”
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Research ArticleOpen accessIn the abstractAnomaly Detection Algorithms for Streaming Data: Performance ComparisonZirije HasaniToday’s most of the data are streaming time-series data, where is very important anomaly detection over this data because gives significant information of possible critical situations. Detecting anomalies in big streaming data is yet difficult task because we have to process them in real time, even before they are stored and instantly alarm on potential threats. For real time streaming … …Journal of Computer Science, Vol. 16, Issue 7 · 18 Jul 2020 · 7,288 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Analysis of Value Chain of Beef Cattle Partnership Business Based on Financial TechnologyDwi Yuzaria, Basril Basyar, Rusjda Khairatii-Ternak is an online financial technology innovation that connects both farmers and investors with the application available in Plays tore. The aims of this first-year study are: (1) To describe the role of partnership in information technology-based value chains on the formation of beef cattle business value chains, (2) to analyze the role of financial technology-based partnership in livestock business … …American Journal of Animal and Veterinary Sciences, Vol. 15, Issue 1 · 20 Mar 2020 · 7,902 accessesView PDFCite
Research ArticleOpen accessIn the abstractCloud Based Low Cost Retinal Detachment Screening Method Using Data Mining TechniquesMahmoud A. Fakhreldin, Ahmed F. SeddikThe Electro-Oculogram (EOG) signal can be used for detecting the normality of the eye retina. A number of advantages including the flexibility of the recoding process for EOG signals have encouraged insight into EOG based research. This study proposes a new cloud based retinal detachment screening technique based on data mining techniques to diagnose the type of eye retina. The … …Journal of Computer Science, Vol. 13, Issue 11 · 5 Oct 2017 · 6,826 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of the Nere Pod (Parkia Biglobosa) for the Improvement of Mechanical Properties of SoilsSinko Banakinao, Sonnou Tiem, Kodjo Attipou et al.Buildings made of unbaked clay have some advantage in terms of production cost. However, they have some inconveniences concerning their mechanical performance, particularly their resistance to weather. The objective of this study is to minimize these disadvantages and to maximize the benefits of such buildings to make them more viable. For this purpose, a method based on a traditional practice … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 16 Feb 2017 · 7,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeterminants Factors of Agricultural Extension Services Performance and Impacts on Farmers' BehaviorMuh. Hatta Jamil, Amri Jahi, Muhammad Arsyad et al.Agricultural extension plays an important role in improving the quality of human resources, also it function as a learning process for the main actors so that farmer will be able to help and organize themselves in accessing market information, technology, capital and other resources. Problem that arise among stakeholders have been widely debated. Since then, determinant factor of Agricultural Extension … …American Journal of Agricultural and Biological Sciences, Vol. 12, Issue 1 · 2 Feb 2017 · 8,784 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Blockchain-based Renewable Energy Investment Management Platform: Decentralized Sustainable Development (DeSDev)Warodom Werapun, Tanwa Arpornthip, Esther Sangiamkul et al.In this study, a novel blockchain-based platform for renewable energy investment is proposed. The blockchain technology has been shown to be a reliable way to send financial transactions across the world in a decentralized manner, at a fraction of the cost and with a faster transaction time. The proposed platform is capable of handling an equity-sharing investment program for solar … …Journal of Computer Science, Vol. 16, Issue 11 · 28 Nov 2020 · 7,838 accessesView PDFCite
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 abstractFedCarepod: Federated Quantum Transfer Learning Approach in Screening Process for Early Detection of Liver AbnormalitiesK MalaThe liver is the most frequently injured intra-abdominal organ that leads to complications. Visual interpretation depends on the expertise, and this justifies the need for automatic accelerated assistive prediction system. Classical and Quantum machine learning approaches are combined to leverage their benefits, and the feasibility of designing a novel system is explored. This approach successfully ends up with health care … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Binary Patterns Pyramid and Gabor Filters for Machine Learning-Based Nail Disease DetectionJagadeeswari Boopalan, Maruthu Perumal SabtharishiNail diseases, including Onychomycosis and Psoriasis, are common conditions that pose diagnostic challenges due to subtle clinical presentations and reliance on invasive methods. This study investigates the effectiveness of Binary Patterns Pyramid Filter (BPPF) and Gabor Filter (GF) as feature extraction techniques for machine learning-based nail disease detection, addressing three categories: Healthy, Onychomycosis, and Psoriasis. Using a dataset of 1,466 … …Journal of Computer Science, Vol. 21, Issue 8 · 2 Oct 2025 · 2,178 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproving the Eastern Arabic Hand Written Digits Recognition Using Deep LearningHamdy Morsy, Hashim M. Hasanien et al.Convolutional neural networks CNNs or simply deep learning was designed for the challenging of object recognition such as digits, characters and even objects that can be classified. The deep convolutional networks are designed to be trained through using a large dataset of the classes. The degree of complexity of recognizing handwritten digits are different from person to person and even … …Journal of Computer Science, Vol. 21, Issue 6 · 27 May 2025 · 4,930 accessesView PDFCite