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122 results for “Testing Methods”
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Research ArticleOpen accessIn the abstractFunctional Non-Inferiority Hypothesis Testing for Longitudinal DataArsène Brunelle Sandie, Anthony Wanjoya, Jules Brice Tchatchueng-MbouguaThe study pattern of non-inferiority trials is increasingly used to show the non-inferiority of new health intervention. Although in such studies the data are longitudinally collected (data held over a period of time), the conclusion of these non-inferiority trials is based on data observed at a specific time during the study period (usually at the end of the study period). … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 29 Aug 2019 · 6,933 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombining Model-Based Testing and Failure Modes and Effects Analysis for Test Case Prioritization: A Software Testing ApproachAtifi Meriem, Marzak AbdelazizDue to The complexity of modern software projects and the increasing size of software systems, it becomes difficult to manually perform tests with limited resources. Also, manual testing cannot assure that the software is tested using all possible combinations of inputs. Therefore, automate software testing activities have become primordial in the Software Development Life Cycle (SDLC). Model-based testing is a … …Journal of Computer Science, Vol. 15, Issue 4 · 4 Apr 2019 · 8,216 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Static Analysis of Android Source Code for Lifecycle Development Usage PatternsNoura Hoshieah, Samer Zein, Norsaremah Salleh, John GrundyBuilding robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fractions are considered to be novice and inexperienced developers. One of the main peculiarities in the Android app development is the activity lifecycle model. A developer needs to have deep understanding of the different … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,661 accessesView PDFCite
Technical ReportOpen accessIn the abstractAnalysis of Magnetic Wheel Adhesion Force for Climbing RobotHaydn Welch, Shyamal MondalThis paper describes the aim of designing, building and testing magnetic wheel based an autonomous climbing robot, for use in conjunction with Non-Destructive Testing (NDT) inspection on vertical towers. Through extensive review of previous generations of climbing robot, a hybrid wheel and permanent magnetic adhesion system has been designed and discussed in this paper. Using mathematical modelling and Finite Element … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 31 Aug 2019 · 8,283 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis on User Reviews of Mutual Fund ApplicationsEvaristus Didik Madyatmadja, Shinta, Devi Susanti et al.The primary goal of this study is to compare the accuracyof the results of sentiment analysis using the Naive Bayes, Support VectorMachine (SVM), and Random Forest methods on one of the mutual fund application’s user reviews.The second goal is to identify user reviews of the mutual fund app to gaininsight into the topics covered by each sentiment. The user reviews … …Journal of Computer Science, Vol. 18, Issue 10 · 26 Sep 2022 · 6,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractManifestation of Valuable Selective Traits in Alfalfa Collection SamplesA. T. Kenebayev, G. T. Meiirman, S. T. Yerzhanova et al.The paper presents the results of the manifestation and study of alfalfa in a collection seed plot according to the main valuable selective traits, such as leafiness, susceptibility to diseases, the productivity of green mass and seeds, as well as chemical composition and nutritional value. The study aims to identify promising collection varieties for selection from two types of alfalfa, … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 4 Jul 2022 · 5,495 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Diagnostic Tests for Fosfomycin Resistance Detection in Clinically Significant EnterobacteralesSantoshi Maruti Naik, Biranthabail Dhanashree, Himani KotianMultidrug resistance in Enterobacterales has triggered interest in old antibiotics like fosfomycin. Various methods to determine fosfomycin resistance are time-consuming and yield unpredictable results. Hence, the study was undertaken to compare the rapid fosfomycin NP test with the recommended agar dilution test and few other tests. In this cross-sectional, time-bound, prospective study, Enterobacterales (N = 110) were tested for their … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 21 Nov 2025 · 2,113 accessesView PDFCite
Review ArticleOpen accessIn the abstractBrucellosis Management in Dairy Cattle Farms: Reviewing Programs and Addressing Challenges in Iranian Dairy Cattle FarmsMaryam Dadar, Jamal GharekhaniBrucellosis, a zoonotic infection caused by Brucella species, remains a significant public health issue, affecting both animal and human health and the economy globally. This review focuses on brucellosis in dairy cattle farms in Iran, examining its prevalence, distribution, and control strategies. A systematic review of studies from databases like PubMed, Scopus, and Google Scholar found that Brucella abortus biovar … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 25 Aug 2025 · 5,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization-Based Feature Selection and Ensemble Machine Learning Algorithms for Breast Cancer ClassificationSatyabrata Patro, Jyotirmaya Mishra, Bhavani Sankar PandaBreast cancer, which originates in a woman's breast tissue, is acknowledged to be a significant study topic in the medical field. For a long time, there has been a serious concern with the classification of breast cancer. Thus, to effectively categorize the breast cancer dataset, machine learning methods are designed and implemented. In previous research, the algorithms have classification accuracy … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,172 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GUI-Enabled, Automated LSTM-Based Inverse Kinematics Pipeline for 6-DOF Robotic Arms Using MATLAB and CoppeliaSimWaleed Abdulrahman Saleh Al-Akwa, Mohammed Abdulwahab Ahmed DabaExisting deep learning-based inverse kinematics (IK) solutions often target specific robotic arms and require significant modifications when applied to different configurations. To support early-phase design and testing of 6-degree-of-freedom (6-DOF) robotic arms, this study presents a fast and adaptable IK solution through a user-friendly interface. Unlike traditional numerical methods that are computationally intensive, sensitive to initial conditions, and may not … …Journal of Mechatronics and Robotics, Vol. 9, Issue 1 · 26 May 2025 · 8,252 accessesView PDFCite