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17 results for “machine indicators”

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Research ArticleOpen accessIn the abstractYear Identification of Seeds in Peony (Paeonia suffruticosa Andr.) Using Hyperspectral ImagingYakun Zhang, Tingting Li, Libo Wang et al.Seed storage year is one of the important indicators for evaluating the quality of peony seeds. It is of great significance for the development of the peony industry to carry out rapid and non-destructive year identification of peony seeds to provide a basis for the screening of aged seeds during seed breeding and processing. This study explores the feasibility of … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 2 · 1 Aug 2023 · 5,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractAI-Guided Anatomical Landmark and Abnormality Detection for Autonomous Endoscopy ExaminationMd Shakhawat Hossain, Munim Ahmed et al.Aabakken, L., Barkun, A. N., Cotton, P. B., Fedorov, E., Fujino, M. A., Ivanova, E., Kudo, S., Kuznetzov, K., De Lange, T., Matsuda, K., Moine, O., Rembacken, B., Rey, J., Romagnuolo, J., Rösch, T., Sawhney, M., Yao, K., & Waye, J. D. (2014). Standardized endoscopic reporting. Journal of Gastroenterology and Hepatology, 29(2), 234–240. https://doi.org/10.1111/jgh.12489 Aliyi, S., Dese, K., & Raj, … …Journal of Computer Science, Vol. 20, Issue 8 · 29 May 2024 · 6,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractExperimental Evaluation of Coffee Leaf Disease Classification and Recognition Based on Machine Learning and Deep Learning AlgorithmsKacoutchy Jean Ayikpa et al.Coffee plant diseases constitute a significant danger to world coffee production, and the greatest challenge is to detect these diseases as early as possible to save the crop. Traditional methods are most often based on visual observations, often with errors in diagnosing diseases. Machine Learning has become a tool that presents itself as an alternative for automatically identifying plant diseases. … …Journal of Computer Science, Vol. 18, Issue 12 · 10 Dec 2022 · 6,986 accessesView PDFCite
Research ArticleOpen accessIn the abstractFinancial Forecasting with Machine Learning: Price Vs ReturnFiruz Kamalov, Ikhlaas Gurrib, Khairan RajabForecasting directional movement of stock price using machine learning tools has attracted a considerable amount of research. Two of the most common input features in a directional forecasting model are stock price and return. The choice between the former and the latter variables is often subjective. In this study, we compare the effectiveness of stock price and return as input … …Journal of Computer Science, Vol. 17, Issue 3 · 18 Mar 2021 · 8,430 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluating the Green Suppliers of the Printed Circuit Board Factories Base on the Fuzzy Analytic Hierarchy Process and Vlsekriterijumska Optimizacija I Kompromisno ResenjeJun-Yuan Kuo, Ben-Chang Shia, Yun-Chin Chen, Jou-Ying HoProblem statement: The “Energy Policy for Europe, EPE” and three environmental directives, proposed by the European Union (EU) in 2007, are stricter than those self-restrained by the enterprises. For this reason, the enterprises have to shortly improve their products for meeting with the strict requests setup by the EU. Consequently, it becomes even more important that the manufacturers evaluate the … …American Journal of Applied Sciences, Vol. 8, Issue 3 · 25 Mar 2011 · 7,878 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAnalyze and Predict the 2022 World Happiness Report Based on the Past Year's DatasetYifei ZhangThrough the impact of the COVID-19, people around the world have been affected to various degrees. Thus, it is more interesting to compare the happiness reported between 2022/2021 and before 2019. This article concludes 5 years of happiness scores data including family, Gross Domestic Product (GDP), health, freedom, generosity trust, and dystopia residual. Happiness scores are considered appropriate indicators to … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,913 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAdaptable User Interface Based on the Ecological Interface Design Concept for Multiple Robots Operating Works with UncertaintyHiroshi FurukawaProblem statement: When supervising a team of semi-autonomous robots, the operator’s task is not only the manipulation of each robot but also achievement of the top goal that is assigned to the entire team of humans and robots. The operators are demanded to comprehend highly complex states and make appropriate decisions in dynamic environment using the limited cognitive resources. The … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,196 accessesView PDFCite