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298 articles for “performance limit”
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Research ArticleOpen accessPhrase in the titleEffects of Aspect Ratios and Number of Meandering Turns on Performance Limit of an Inclined Closed-Loop Oscillating Heat PipeN. Panyoyai, P. Terdtoon, P. SakulchangsatjataiProblem statement: The purpose of this research was to determine the effects of aspect ratios and number of meandering turns on performance limit of an inclined closed-loop oscillating heat pipe. Approach: The Closed-Loop Oscillating Heat Pipe (CLOHP) was made of a long copper capillary tube. The geometrical sizes, which were the variable parameters of this study, were as follows; the … …Energy Research Journal, Vol. 1, Issue 2 · 31 Oct 2010 · 8,081 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEffect of Inclination Angle on Performance Limit of a Closed-End Oscillating Heat PipeT. Hudakorn, P. Terdtoon, P. SakulchangsatjataiThis study presents the effect of inclination angle on the performance limit of a Closed-End Oscillating Heat Pipe (CEOHP). The study was divided into 2 corresponding parts. The first part was visual study. The CEOHP was made of Pyrex glass tube with the inner diameter of 1.0 mm, evaporator length of 50 mm and had 10 meandering turns. The lengths … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 3 · 30 Sep 2008 · 7,516 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMass Transfer Limitation in Different Anode Electrode Surface Areas on the Performance of Dual Chamber Microbial Fuel CellBabak Salamatinia, Ali Ghannadzadeh, Mostafa Ghasemi et al.In this study, the effect of different electrode surface areas on the performance of dual chamber Microbial Fuel Cells (MFC) was investigated. Four different electrodes with 12, 16, 20 and 24 cm2 surface areas were tested in an MFC system. The 20 cm2 electrode generated an output power of 76.5 mW/m2 was found to be the highest among all the … …American Journal of Biochemistry and Biotechnology, Vol. 8, Issue 4 · 25 Dec 2012 · 8,522 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Some Pesticide Residues in Cauliflower by High Performance Liquid ChromatographySheheli Islam, Nazneen Afrin, Mohammad Shawkat Hossain et al.Problem statement: Increased use of chemicals on vegetables started gaining momentum and continued its up-trend in Bangladesh. Wide spread use of pesticides in agriculture concern of residue accumulation, which may remain in food and agricultural environment causing concern of human health and risking ecological balance. Attempt made to ensure that their applications were correct and safe and result in no … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 7,859 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimization of Coaching Using Six SigmaDumitru Colibaba-Evulet, Andrei EvuletProblem statement: In today’s sports world, coaching and training methods are the subject of intensive competition amongst rivals. Innovative technologies, methodologies and preparation methods are employed to achieve a sustainable competitive advantage. Effective performance measurement, statistical analysis and data based decision taking have been identified as key elements towards efficient performance management. The statistical approach has been emphasized in order … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 8,054 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Palm Kernel Cake Based Biosupplement Biscuits on Nutrient Utilization, Growth Performance, and Metabolic Responses in Male Ettawah GoatsTintin Rostini, Suharlina, Achmad Jaelani et al.Palm Kernel Cake (PKC), a major by-product of the palm oil industry, has considerable potential as an alternative feed ingredient for ruminants because of its wide availability, moderate protein content, and economic value. However, its utilization is often constrained by high fiber and lignocellulosic components that may limit nutrient digestibility. This study evaluated the effects of PKC-based biosupplement biscuits as … …American Journal of Animal and Veterinary Sciences, Vol. 21, Issue 3 · 22 Oct 2026 · 312 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cross-Validation Under Concept Drift for Time Series ForecastingKunjira Kingphai, Prapakorn Kanjina, Kamol Sanittham, Wacharong WongsanurakTime-series forecasting often involves non-stationary data, making i.i.d. validation unreliable and fixed-window protocols vulnerable to leakage and biased error estimates. We propose Adaptive Time-Series Cross-Validation (ATSCV), a drift-aware evaluation framework that uses statistical change-point detection to partition each series into contiguous, approximately stationary regimes, followed by forward-chaining folds that respect those boundaries. By aligning train–validation splits with distributional changes (with … …Journal of Computer Science, Vol. 22, Issue 7 · 7 Jul 2026 · 1,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Corporate Financial Distress Using Explainable Machine Learning: Implications for Risk Management TechnologyKanjana Hinthaw, Warawut NarkbunnumFinancial distress prediction is a critical task in financial risk management, yet it remains challenging due to class imbalance, complex financial structures, and limited model interpretability. This study develops an integrated machine learning framework that combines feature selection, class imbalance handling, threshold optimization, and Explainable Artificial Intelligence (XAI) to improve both predictive performance and decision-making reliability. Using a dataset of … …Journal of Computer Science, Vol. 22, Issue 7 · 22 Jul 2026 · 1,130 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Soft Voting Ensemble of XGBoost and DNN for At-Risk Student Performance PredictionEugene Wan, Po Chan Chiu, Mohammad bin Hossin et al.Early identification of at-risk students in higher education is important for timely academic intervention, yet conventional prediction methods often struggle with data imbalance and limited model precision. This study proposes a hybrid soft voting ensemble model that integrates Extreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) to enhance multi-class student grade prediction (A-F classification) and at-risk student identification. This … …Journal of Computer Science, Vol. 22, Issue 5 · 28 May 2026 · 1,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Method to Predict Processor Performance by Modeling Different Architecture ParametersJoseph IssaPredicting processor throughput and performance is one of the essential aspects of computer architecture. It is crucial to model processor performance behavior for future architectures based on the existing data set. Modeling processor performance for a given workload enables architects to enhance processor features to meet specific performance targets for a given benchmark. Developing an estimation method to predict performance … …Journal of Computer Science, Vol. 16, Issue 4 · 22 Apr 2020 · 7,317 accessesView PDFCite