Bayesian collective learning emerges from heuristic social learning by Krafft, P.M., Shmueli, Erez, Griffiths, Thomas L., Tenenbaum, Joshua B., Pentland, Alex

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Universality for the largest eigenvalue of sample covariance matrices with general population by Bao, Zhigang, Pan, Guangming, Zhou, Wang

“…This paper is aimed at deriving the universality of the largest eigenvalue of a class of high-dimensional real or complex sample covariance matrices of the form WN = Σ 1 /2 XX* Σ 1/2. …”
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15.075 Applied Statistics, Spring 2003 by Newton, Elizabeth

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Inference for autoregressive and moving average models with extreme value distribution via simulation study by Samuel, Bako Sunday

“…Time series analysis has emerged as one of the most important statistical discipline and it has been applied in different fields over the years. …”
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Optimal portfolio and trading strategy using machine learning by Ouazzane, Karim, Tang, Kai Hung Po Yung, Ghanem, Mohamed Chahine

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The Role of Emerging Technologies of Students' Academic Achievement at Politeknik Seberang Perai (PSP) by Omar, Nurul Ihsaniah, Ibrahim, Mohammad Noor

“…Education is crucial for global progress, constantly evolving with emerging technologies that impact teaching and learning. …”
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Malaysian teachers’ perceptions towards Emergency Remote Teaching (ERT): an analysis based on school level and subjects taught by Loo, Daron Benjamin

“…The data was analysed using descriptive statistics. The main fi ndings include teachers of all levels and subjects having a clear understanding of students’ current learning situation, yet there were some uncertainty regarding the planning and implementation of online teaching and learning, especially among primary-level teachers and teachers of science subjects. …”
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Factors Influencing Students Intention to Choose Career of Halal Food Industry in Malaysia using Theory of Planned Behavior by Abu Bakar, Nashirah, Rosbi, Sofian, Haji Hashim, Hydzulkifli, Che Arshad, Noraziah

“…The value of Cronbach’s alpha statistical test for measuring internal reliability is larger than 0.7 for all four variables. …”
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Methods and systems for ontology learning, exploitation, and analysis by Xing, Jiang

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Exploratory Survey on UUM Student’s Acceptance Towards the Founding of Waqf Institution For Education by Omar, Hydzulkifli Hashim, Abu Bakar, Azizi, Basary, Noor Faezah, Shuib, Mohd Sollehudin, Yusuff, Noraini

“…All the data are analysed using software of Statistical Package for Social Science (SPSS) by conducting statistical method namely, Independent Samples T-test, Analysis of Variance (ANOVA), Pearson Corellation and Multiple Linear Regression analysis to achieve the objectives of this research. …”
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Macroeconomic and Firm-Specific Effects on Islamic Deposits Sustainability by Ab Rahman, Sazana, Ahmad, Nor Hayati, Che Arshad, Noraziah

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Adoption of ZakaTech in the Time of COVID-19: Cross-Country and Gender Differences by Nashwan, Saeed Awadh, Ismaiel, Abdelhamid Elsayed A., Muneeza, Aishath, Isa, Mohamad Yazid

“…Findings – By analyzing both Saudi and Egyptian samples, the authors found that all UTAUT constructs are statistically significant, except for effort expectancy in Egypt. …”
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Challenges and Solution of Online Learning and Assessment Amidst the COVID-19 Pandemic: A Case Study in Universiti Utara Malaysia (S/O 14793) by Mohd Nordin, Nur Rasyidah, Omar, Wafa, Mohd Ridzuan, Iliya Nurul Iman

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Toward a generic federated learning platform optimized for computer vision applications by Zhuang, Weiming

“…Built on EasyFL, we optimize algorithms for the following three computer vision applications: person re-identification (ReID), unsupervised person ReID, and self-supervised learning. We propose federated person ReID (FedReID), a new paradigm of person ReID training, and investigate its performance under statistical heterogeneity via benchmark analysis. …”
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Forecasting Singapore’s pharmaceutical industry using time series models. by Lee, Kai Wee., Simandjuntak, Daniel Perdana., Zhuo, Yaohong.

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Refining learning models in grammatical inference by Wang, Xiangrui

“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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Theoretical study of spermatozoa sorting by dielectrophoresis or magnetophoresis with supervised learning by Koh, James Boon Yong

“…By fitting the model to a tenth of the sample size required for statistical convergence, predicted results are precise and accurate to a handful of percentage points. …”
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Hidden Influence in Dynamic Networks by Erhardt, Keeley Donovan

“…I begin with a foundational overview of graph learning techniques and the specific models utilized in my work. …”
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Graph neural network for traffic forecasting: the research progress by Jiang, Weiwei, Luo, Jiayun, He, Miao, Gu, Weixi

“…Various forecasting methods have been proposed in the literature, including statistical models, shallow machine learning models, and deep learning models. …”
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Neural and psychological correlates of stuttering by Demirel, B

“…Despite this relatively large sample size, we found no significant group differences at a strict statistical threshold (Z > 3.1). …”