Situasi Pembelajaran Bahasa Asing dalam Kalangan Pelajar di Universiti Utara Malaysia dalam Norma Baharu dengan Menggunakan Model UTAUT (S/O 14775) by Mansor, Masni, Abdul Hamid, Aida Husni, Sanguan, Soraya, Md Yusoff, Mohd Farid

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Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment by Barabas, Chelsea, Dinakar, Karthik, Ito, Joichi, Virza, Madars, Zittrain, Jonathan L.

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The intransitive dice kernel: $$\frac{\mathbbm {1}_{x\ge y}-\mathbbm {1}_{x\le y}}{4} - \frac{3(x-y)(1+xy)}{8}$$ by Sah, Ashwin, Sawhney, Mehtaab

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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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The application of prospect theory in travel choice behavioral analysis by Hariharan Subramaniam.

“…The most widely used and accepted model for predicting and analysing of travel behaviour would be the Utility Theory. …”
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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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Questionnaire data analysis using information geometry by Har-Shemesh, Omri, Quax, Rick, Lansing, J. Stephen, Sloot, Peter M. A.

“…The SM has deep connections with parametric statistical models and the theory of phase transitions in statistical physics. …”
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Uncertainty quantification framework for combined statistical spatial downscaling and temporal disaggregation for climate change impact studies on hydrology by Rajendran Queen Suraajini

“…Initially, a single site statistical downscaling model has been considered where a stochastic process-based SDM is proposed to couple the uncertainty quantification tool with model calibration and model prediction. …”
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Sentiment analysis and topic modelling of 2024 U.S. and Indonesian election tweets: a study of political discourse and public opinion by Widawati, Elisia Brispalma

“…This study investigates the effectiveness of various deep learning architectures and statistical models in both sentiment analysis and the temporal analysis of online public discourse through topic modelling and sentiment forecasting of tweets related to the 2024 Indonesian and U.S. elections. …”
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Reliability analysis and data driven modelling of railway component failure by Wang, Jinlong

“…Such statistical models are under some distribution assumptions which may not be fully satisfied in practice, but the models can be fitted with limited data samples and their interpretabilities are high. …”
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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

“…Next, the value of R-squared for model fit in this study is 0.675 that indicates a good model fit that explained 67.5% of variance in dependent variable. …”
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Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…In order to connect this experimentally inaccessible parameter with model, the parameter was extracted from optimization through series layers model and fed into a backpropagation neural networks with various experimentally-accessible real time parameters. …”
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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

“…A conceptual framework is built based on Theory Planned Behaviour (TPB) and Technology Acceptance Model (TAM)…”
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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

“…Therefore, this study aims to provide an integrated model that scrutinizes the determinants of acceptance and use of technology (UTAUT) of ZakaTech, combined with social cognitive theory (SCT), in the midst of the COVID-19 crisis where social distancing is the norm in conducting economic activities. …”
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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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On the weak convergence of stochastic integrals on Skorokhod space: From general theory to applications within the realm of continuous-time random walks by Wunderlich, F

“…We refine the classical theory, reveal new insights into convergence behaviours even in the classical J1 setting and address the sharpness of various key statements. …”

Reservoir system modelling using nondominated sorting genetic algorithm in the framework of climate change by Tukimat, Nurul Nadrah Aqilah

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Bayes factors for logistic (mixed effect) models by Silvey, C, Dienes, Z, Wonnacott, E

“…We illustrate this using mainly the estimates from frequentist logistic mixed-effects models (because of their widespread adoption) but also using Bayesian model comparison with Bayesian hierarchical models (which have increased flexibility). …”

Failure model analysis for power equipment - data analytics by Yeo, Darren Zhong Hao

“…Finally, the project employs a modern suite of software development tools to develop an intuitive and simple to use application for survival analysis and modelling.…”
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Modeling autobiographical memory in human-like autonomous agents by Wang, Di, Tan, Ah-Hwee, Miao, Chunyan

“…With the motivation of developing human-like intelligence, in this paper, we delineate our approach to enable an agent to maintain memories of its own and to wander in mind. Our model, named Autobiographical Memory-Adaptive Resonance Theory network (AM-ART), is designed to capture autobiographical memories, comprising pictorial snapshots of one's life experiences together with the associated context, namely time, location, people, activity, and emotion. …”
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