Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

122 results for “Testing Methods”
Set a search alert
Research ArticleOpen accessIn the abstractStatistical Tool for Testing Agreement Level on Continuous DatasetsBasavarajaiah Mariyappa Doddagangavadi, B. Narasimha Murthy, Netra RajpurohitVarious analytical studies explored the new innovation for testing agreement level in medical and life sciences which can be simulated by Cohen ‘κ’ based on the practical applications. From the past medical literature, many authors suggested that, there is some disproportion research gaps that exists in the statistical methods for measuring the agreements between two or more observers from ‘Cohen … …Current Research in Biostatistics, Vol. 11, Issue 1 · 19 May 2021 · 11,780 accessesView PDFCite
Research ArticleOpen accessIn the abstractDefect Classification of Reinforced Concrete Structures with Nondestructive Tests Using Statistical and Machine Learning MethodsSajjad Sayyar-Roudsari, Armaghan Shalbaftabar, Farshid Damirchilo et al.In this study, twelve reinforced concrete beams were constructed, each with specified dimensions and initial compressive strength. The beams were divided into four groups: A control group without any defect, a void group featuring a centrally located void, a corrosion group and a debonding group. The impact echo test was used for nondestructive testing, gathering data on compressive and shear … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 11 Jun 2024 · 5,258 accessesView PDFCite
Research ArticleOpen accessIn the abstractRotation Center Fitting based on Rotation Hybrid Calibration MethodYi Guo, Doudou Lei, Yu Liu, Baolong LiuLine laser rotation scanning can obtain accurate full contour information of the object with non-destructive testing. The key point in this process is the calibration rotation center. The calibration of the rotation center is mainly obtained through the characteristics of circles. Existing calibration schemes lead to a holed or over-gathered result. In order to solve this problem, this paper proposes … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 10 Sep 2020 · 6,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Compost Production from Fruit and Vegetable Market Waste: A Case Study in Bagua, Amazonas (Peru)Juan Eduardo Suarez Rivadeneira, Freddy A. Manayay, Wilfredo Ruiz Camacho, Juan Francisco Robles RuizInadequate management of organic solid waste in municipal markets represents a critical environmental challenge in tropical developing regions, where high humidity (>80%) and elevated temperatures (>25°C) accelerate decomposition, generating leachate and greenhouse gas emissions. In Peru, over 50% of municipal waste is organic, yet less than 20% is valorised through composting, highlighting a substantial technological gap. This study evaluated an … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 11 Aug 2026 · 1,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing DevOps Pipelines With Viral Spread Optimization and Hybrid Deep LearningDileepkumar S R, Juby MathewModern software teams rely on Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing and delivery. However, these pipelines often waste resources by running unnecessary tests and failing to predict which builds will fail. This study presents a new framework that addresses three key challenges: (1) deciding which tests to run first, (2) predicting which builds will fail, and … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Machine Learning-Based Sentiment Analysis of Article 370 Tweets to Support Government Policy DecisionsSubhasis Mohapatra, Sudhir Kumar Mohapatra, Sweta Samantaray et al.This study proposes a robust sentiment analysis framework to evaluate public opinion on the abrogation of Article 370 using Twitter data. The methodology begins with tweet collection through the Twitter API, followed by systematic preprocessing. Sentiment labels were generated using the Text Blob lexicon-based polarity scoring approach to facilitate the construction of a large-scale sentiment dataset. Features are extracted, and … …Journal of Computer Science, Vol. 22, Issue 6 · 2 Jul 2026 · 914 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhanced Antibacterial Activity of Blended Essential Oils against Staphylococcus Aureus and Methicillin-Resistant Staphylococcus AureusMin-Gi Kwon, Ji-Hyuk Kang, Jae Kyung KimWe aimed to evaluate the antibacterial effects of four blended and four single essential oils on the gram-positive bacterium Staphylococcus aureus (S. aureus) and methicillin-resistant S. aureus (MRSA). Minimum inhibitory concentration (MIC) testing was performed using disk diffusion and broth microdilution methods according to the Clinical and Laboratory Standards Institute criteria. The blended essential oils exhibited more powerful antibacterial activity … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 16 Apr 2026 · 1,594 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Dynamic Lifelong Learning Network for Real-Time Stock Prediction With Reinforcement TuningTalent Mawere, Selvaraj Rajalakshmi, Venu Madhav Kuthadi, Otlhapile DinakanyaneCompanies and investors require accurate market forecasting to make more informed decisions. Traditional methods for predicting stock market performance have become less useful considering the dynamic and volatile nature that characterizes stock markets today. In this paper, we propose an innovative Dynamic Lifelong Learning Network for stock market prediction. The model incorporates a hybrid convolutional long short-term memory with an … …Journal of Computer Science, Vol. 22, Issue 2 · 20 Feb 2026 · 1,822 accessesView PDFCite