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105 articles for “Unit Test”

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Research ArticleOpen accessIn the keywordsThe Finite-Sample Bias of the Autoregressive Parameter Under Rank-based EstimationSteven CookMonte Carlo simulation is employed to examine the finite-sample properties of the estimated autoregressive parameter associated with the Dickey-Fuller and rank-based Dickey-Fuller unit root tests. While the downward bias associated with estimator under the Dickey-Fuller test has long been noted in the literature, the corresponding properties for the rank-based test have not been considered previously. The results presented show that … …Journal of Mathematics and Statistics, Vol. 1, Issue 1 · 31 Mar 2005 · 6,239 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDevelopment of an Algorithm for Fiber-to-the-Home Passive Optical Network Automatic Self-restoration Scheme Using Access Control SystemMohammad Syuhaimi Ab-Rahman, Siti Raihan Ahmad MahirProblem statement: Cables that are installed outdoors are subjected to harsh environmental conditions which make break down inevitable. When this happen it will disrupt the services and cause trouble to the users. To overcome this is to provide a means of restoring the network in case of failure. We introduced the Access Control System (ACS) and Customer Access Protection Unit … …Journal of Computer Science, Vol. 7, Issue 12 · 19 Oct 2011 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Adaptive Machine Learning Algorithm for Resilient Higher-Order Mutant GenerationSubhasish Mohanty, Jyotirmaya Mishra, Sudhir Kumar Mohapatra et al.In the field of software engineering, ensuring the reliability androbustness of software is paramount, and software testing plays a criticalrole in this process. Mutation testing, a fault-based technique, evaluates theeffectiveness of test suites by introducing artificial defects, known asmutants, into programs. This research presents a novel method forgenerating higher-order mutants (HOMs) using the Chemical ReactionOptimization (CRO) algorithm, which enhances the … …Journal of Computer Science, Vol. 21, Issue 5 · 20 May 2025 · 8,238 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRandom Walk Models Classifications: An Empirical Study for Malaysian Stock IndicesChin Wen CheongThis article studied the Random Walk models introduced by Campbell et al.[2] for Malaysian stock market. The analysis is implemented under the possible drastic economics structural change using an iterative structural change test. After the break-date identification, the random walk hypothesis is tested by multiple variance ratios test in two separate periods. We further examined the serial correlations of return’s … …American Journal of Applied Sciences, Vol. 5, Issue 4 · 30 Apr 2008 · 6,850 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVerifying Complex Interaction between Hardware ProcessesKiran Ramineni, Shireesh Verma, Ian G. HarrisProblem statement: Verification of correct functionality of semiconductor devices has been a challenging problem. Given the device fabrication cost, it is critical to verify the expected functionality using simulations of executable device models before a device manufactured. However, typical industrial scale devices today involve large number of interactions between their components. Complexity of verifying all interactions becomes almost intractable even … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 6,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementing a Hybrid VMD–BiTCN–BiGRU Architecture With Intelligent Optimization for Agricultural Commodity Price Prognostication in Gujarat MarketsJignesh Hirapara, Ratnesh Kumar Namdeo, Ankit Kumar Dubey et al.In the agricultural sector, the prices of pulses require adequate forecasting to plan farming activities, store and market, and guide policy-making. However, the pulse price series is highly volatile, seasonal, nonstationary, and nonlinear, and thus conventional linear time series models are not necessarily very effective. In the suggested framework, the raw price data series is decomposed using Variational Mode Decomposition … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Aug 2026 · 1,021 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbe-based Semi-permanent Soil Humidity SensorSoobin Jeon, Dongmahn SeoThe modern agricultural environment has the problems of an aging rural population and a decreasing rural labor population. Recently, smart farms based on information and communication technology have been studied to address environmental issues in agriculture. The smart farm consists of three parts: a data collection unit, a processing unit, and a control unit. Among them, the data collection unit … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 1,923 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Relationship Between Rupee-Dollar Exchange Rate and Major Economic IndicatorsAbhinandan Kulal, Deepak Kallige Vishwanath, Sanath Kumar KanthilaIt is very likely that dollar to rupee exchange rate has an influence on the major economic indicators of India like the GDP of India, the NIFTY 50 index, gold prices in India, import prices in India, and crude oil prices in India. The quarterly time series data of the seven variables have been used. The time considered for the … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 17 Aug 2023 · 6,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractAsymptomatic COVID-19 Patients: Experience and Lessons from a Developing CountrySylvie Kolani, Houda Alami, El Harch ibtissam et al.The world is facing a pandemic due to the SARS-Coronavirus 2, since late 2019. Many questions remain unanswered regarding the disease course. Key amongst its talking point is the case of asymptomatic patients. This potentially jeopardizes infection control strategy as asymptomatic cases are difficult to identify and hence difficult to isolate. Our study intends to define the clinical and radiological … …American Journal of Infectious Diseases, Vol. 17, Issue 2 · 22 May 2021 · 7,132 accessesView PDFCite
Research ArticleOpen accessIn the abstractProtein Secondary Structure Prediction using Hybrid Recurrent Neural NetworksRomana Rahman Ema, Akhi Khatun, Md. Alam Hossain et al.The most important and challenging problem in bioinformatics is protein secondary structure prediction. The molecules of all protein organisms have three-dimensional (primary, secondary, 3-D) structures which are completely recognized by the sequence of amino acids. Protein secondary structure attributes to the polypeptide backbone of the local configuration of proteins. Most generally, the second-level prediction is indicated such as: If there … …Journal of Computer Science, Vol. 18, Issue 7 · 14 Jul 2022 · 7,332 accessesView PDFCite