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115 results for “Potential Accuracy”
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Research ArticleOpen accessIn the abstractA Deep Learning Framework for Classifying and Evaluating Yoga ExercisesMehar Latif Malik, Arun KhoslaYoga is a type of physical activity that combines physical postures with breathing techniques. Cardiovascular disease is the leading cause of illness and mortality. Yoga's potential involvement in cardiac recovery can be incorporated into cardiovascular rehabilitation. Classifying and evaluating yoga exercises using a deep learning framework plays a significant role in postoperative recovery. Home based rehabilitation often suffers from a … …Journal of Computer Science, Vol. 19, Issue 2 · 30 Jan 2023 · 6,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractOffice Supplies Requisition-Disbursement System Processing on Cloud: Algorithms and Database Design TechniquesKriangsak Chanthinok, Ekkachai NaenudornDigitalbusiness organization is an organization that has applied informationtechnology to its operations and benefits from saving costs, saving resources,and making it quick to act and operate the business. However, manyorganizations lack systems to complement effectively internal management suchas in-house office supplies requisition-disbursement system. Past research papers have shown that a widerange of office supplies requisition-disbursement systems have been developed,but almost … …Journal of Computer Science, Vol. 18, Issue 10 · 13 Oct 2022 · 6,551 accessesView PDFCite
Research ArticleOpen accessIn the abstractAUTOMATIC GLUCOSE INSULIN REGULATION SYSTEM-COMPARISON OF EMBEDDED CONTROL DESIGN AND HARR WAVELET METHOD FOR TYPE-1 DIABETESR. Arangasamy, J. Sundararajan, Ila Vennila, G. ShankarThis article is aimed to inject insulin for type 1 diabetes using pumping the insulin with respect to meal disturbance. We have used the embedded linear parameter varying methodology controller and the final results were compared with the Harr wavelet mathematical values. In this article, there are three things we need to focus. First is the sensor values which is … …American Journal of Applied Sciences, Vol. 11, Issue 3 · 11 Jan 2014 · 6,910 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign of an Error Tolerant AdderA. N. Jayanthi, C. S. RavichandranProblem statement: In modern VLSI technology, the occurrence of all kinds of errors has become inevitable. By adopting an emerging concept in VLSI design and test, Error Tolerance (ET), a novel Error-Tolerant Adder (ETA) is proposed. The ETA is able to ease the strict restriction on accuracy and at the same time achieve tremendous improvements in both the power consumption … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 13 Mar 2012 · 7,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Study on the Increase of Numerical Stability and Accuracy of the Transfer Matrix MethodIoannis S. Zotos, Theodore N. CostopoulosProblem Statement: The transfer matrix method is a very useful tool for the static and dynamic analysis of structures. There are a number of issues though that worsens the numerical stability and the accuracy of this method. Approach: This study proposed a simple technique that can be used to handle these numerical difficulties and overcome the problems they give. Its … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,030 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Perspective-Taking on Ability to Recognize FearAndrea Trubanova, Inyoung Kim, Marika C. Coffman et al.Impairment in the ability to detect certain emotions, such as fear, is linked to multiple disorders and follows a pattern of inter-individual variability and intra-individual stability over time. Deficits in fear recognition are often related to social and interpersonal difficulties but the mechanisms by which this processing deficit might occur are not well understood. One potential mechanism through which impaired … …Current Research in Psychology, Vol. 6, Issue 2 · 12 Jan 2016 · 8,672 accessesView PDFCite
Research ArticleOpen accessIn the abstractRole of Progranulin Gene Expression as a Molecular Biomarker for Bladder CancerSalwa M. Abo El-khair, Mie A. Mohamed, Tamer E. AlkhiaryBladder cancer is the second most common cancer of the urinary system. Early diagnosis of this tumor and estimation of risk of future progression has a significant impact on prognosis. Although there are several molecular markers for the diagnosis and prognosis for this tumor, their accuracy is not ideal. Progranulin is a growth factor that may play a critical role … …American Journal of Biochemistry and Biotechnology, Vol. 8, Issue 2 · 22 Jun 2012 · 7,699 accessesView PDFCite
Research ArticleOpen accessIn the abstractPyrosequencing-An Alternative to Traditional Sanger SequencingMd Fakruddin, Abhijit ChowdhuryProblem statement: Pyrosequencing has the potential to rapidly and reliably sequence DNA taking advantages over traditional Sanger di-deoxy sequencing approach. Approach: A comprehensive review of the literature on the principles, applications, challenges and prospects of pyrosequencing was performed. Results: Pyrosequencing was a DNA sequencing technology based on the sequencing-by-synthesis principle. It employs a series of four enzymes to accurately detect … …American Journal of Biochemistry and Biotechnology, Vol. 8, Issue 1 · 2 Mar 2012 · 12,887 accessesView PDFCite
Research ArticleOpen accessIn the abstractHyperspectral Remote Sensing for Tropical Rain ForestKamaruzaman Jusoff, Kasawani IbrahimProblem statement: Sensing, mapping and monitoring the rain forest in forested regions of the world, particularly the tropics, has attracted a great deal of attention in recent years as deforestation and forest degradation account for up to 30% of anthropogenic carbon emissions and are now included in climate change negotiations. Approach: We reviewed the potential for air and spaceborne hyperspectral … …American Journal of Applied Sciences, Vol. 6, Issue 12 · 31 Dec 2009 · 8,576 accessesView PDFCite
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