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Research ArticleOpen accessEvery word in the titleExperimental Study of Diesel Engine Generator Performance and Emission Characteristics Using a Mixture of Jatropha Oil and Rubber Seed Oil Biodiesels Along a Two-Step TransesterificationFana Gebremedhin Gebremichael, Joao Fernando ChidamoioThis study investigates the performance and emission properties of engine-generator powered using various dual biodiesel mixes prepared from two inedible feedstock jatropha and rubber. Jatropha and rubber oils had high acid values, which were 13.96 and 27.91 mg KOH/g, respectively. Therefore, a two-step transesterification process was conducted to lower the acid value to 0.28 and 0.42 mg KOH/g for jatropha … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 3 · 1 Jul 2024 · 5,128 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Hybrid Model to Predict the Performance of Trainee Teachers Based on Clustering and ClassificationYissam Lakhdar, Khawla EL-Bendadi, Brahim BakkasThis article explores how artificial intelligence, particularly machine learning, can be used to assess and predict the performance of trainee teachers in Morocco. Considering the country's focus on integrating technology into education and the challenges posed by the COVID-19 pandemic, the authors propose a novel hybrid model that combines clustering and classification algorithms. This model aims to understand the Information … …Journal of Computer Science, Vol. 20, Issue 9 · 26 Jun 2024 · 5,106 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid 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 · 1,404 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNovel Scheme for Enhancing Storage Management and Performance and Saving Energy of Mobile Cloud ComputingAli A. Yassin, Abdulla J. Yassin, Abdullah Mohammed Rashid, Ahmed A. AlkadhmaweeModern industries for smart mobile devices, such as smartphones, provide end users with interactive features that consider network accessibility, computation performance, storage usage, energy saving and limited battery resources. The combination of cloud and mobile computing capabilities has introduced a new technology called Mobile Cloud Computing (MCC), which has extended smartphones and modern mobile devices beyond their core capacities. Many … …Journal of Computer Science, Vol. 15, Issue 5 · 9 May 2019 · 7,877 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleETFs in European Emerging Markets: Performance, Risk and SustainabilityRosa Adamo, Domenica Federico, Antonella NotteOver the past few decades, Exchange-Traded Funds (ETFs) have become one of the most innovative financial instruments traded in financial markets. The aim is to offer an overview of the ETF market in Emerging Europe through a study on performance, risks and sustainability. The research examines the costs, the performance of the fund over calendar year periods (annual return), the … …American Journal of Economics and Business Administration, Vol. 15, Issue 1 · 14 Dec 2023 · 6,307 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFinancing College Through Student Loans: An Incentive for Academic Performance?Gunnar B˚ardsen, Snorre Lindset, Peter ReschStudent debt in the United States has reached unprecedented levels. Whereas student loans have paved the way to a college degree for millions of young Americans, it is not clear if student debt acts an incentive for academic performance or not. Using the results from a survey conducted with 877 undergraduate business students in a large public university in the … …Journal of Social Sciences, Vol. 19, Issue 1 · 24 Aug 2023 · 8,130 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffects of Dietary Isoleucine Supplementation on the Growth Performance, Carcass Characteristics and Ileal Morphology of Native ChickensCharles Venirius Lisnahan, Oktovianus Rafael Nahak, Lukas PardosiThe roles of isoleucine in the protein synthesis, metabolisms, and growth of chicken have been widely reported. However, its effect on native chicken has not been previously reported. In this work, we reported the effects of dietary isoleucine supplementation on growth performance, carcass characteristics, and ileal morphology in native chickens during the grower phase (6-12 weeks). Two hundred native chickens … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 21 Jun 2025 · 2,945 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEffectiveness of Business Practices Related to Climate Change as a Driver for Improving Environmental PerformanceNaciti Valeria, Centorrino GiovannaThis study explores the relationship between business practices related to climate change and environmental performance. Using an international sample of analysis from 2013 to 2017, the paper examines how managerial incentives, public policy, disclosure, and responsibilities to executives on climate change, as corporate governance factors, affect a firm's environmental performance. By employing several regression analyses, our independent variables-incentives, public policy, … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 7 Feb 2022 · 6,792 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMapping Learning Algorithms on Data, a Useful Step for Optimizing Performances and Their ComparisonFilippo NeriIn this paper, we propose a novel methodology to map learning algorithms on data (performance map) in order to gain more insights into the distribution of their performances across their parameter space. This methodology provides useful information when selecting a learner's best configuration for the data at hand and it also enhances the comparison of learners across learning contexts. In … …Journal of Computer Science, Vol. 20, Issue 9 · 10 Jul 2024 · 4,505 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Deep Learning Libraries: TensorFlow and PyTorchFelipe Florencio, Thiago Valenç, Edward David Moreno, Methanias Colaço JuniorThrough the increase in deep learning study and use, in the last years there was a development of specific libraries for Deep Neural Network (DNN). Each one of these libraries has different performance results and applies different techniques to optimize the implementation of algorithms. Therefore, even though implementing the same algorithm and using different libraries, the performance of their executions … …Journal of Computer Science, Vol. 15, Issue 6 · 11 Apr 2019 · 10,298 accessesView PDFCite