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modelling theory » coding theory (Expand Search), modelling tools (Expand Search)
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Statistics and Probability Theory : In Pursuit of Engineering Decision Support /
Published [201“…The purpose of the book is to ensure that the reader will acquire the required theoretical basis and technical skills such as to feel comfortable with the theory of basic statistics and probability. Moreover, in this book, as opposed to many standard books on the same subject, the perspective is to focus on the use of the theory for the purpose of engineering model building and decision making. …”
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software, multimedia -
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Multiscale approach to nematic liquid crystals via statistical field theory
Published 2018“…We propose an approach to a multiscale problem in the theory of thermotropic uniaxial nematics based on the method of statistical field theory. …”
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Journal Article -
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Inference for autoregressive and moving average models with extreme value distribution via simulation study
Published 2015“…Such general characterisation for a given model is useful for the extremal behaviour of physical processes. …”
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Thesis -
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Hedonic regression model : influence of housing characteristics and housing lease on HDB's resale price
Published 2021Get full text
Final Year Project (FYP) -
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Combating China’s corruption through learning from Taobao’s business model.
Published 2013Get full text
Final Year Project (FYP) -
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A reformulation of additive models
Published 2022“…Additive models and their fitting algorithms play a pivotal role in the history and development of applied mathematics, machine learning, statistics, and science. …”
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Thesis-Doctor of Philosophy -
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The application of prospect theory in travel choice behavioral analysis
Published 2012“…The most widely used and accepted model for predicting and analysing of travel behaviour would be the Utility Theory. …”
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Final Year Project (FYP) -
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Forecasting Singapore’s pharmaceutical industry using time series models.
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Final Year Project (FYP) -
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Refining learning models in grammatical inference
Published 2008“…Grammatical inference is a branch of computational learning theory that attacks the problem of learning grammatical models from string samples. …”
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Thesis -
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3D reconstruction of building models based on 2D floorplans using statistical analysis
Published 2024Get full text
Conference or Workshop Item -
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Racial discrimination against prospective tenants : evidence from the room rental market in Singapore
Published 2020Get full text
Final Year Project (FYP) -
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Factors Influencing Students Intention to Choose Career of Halal Food Industry in Malaysia using Theory of Planned Behavior
Published 2021“…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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Modeling autobiographical memory in human-like autonomous agents
Published 2018“…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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Conference Paper -
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Exploratory Survey on UUM Student’s Acceptance Towards the Founding of Waqf Institution For Education
Published 2018“…A conceptual framework is built based on Theory Planned Behaviour (TPB) and Technology Acceptance Model (TAM)…”
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Macroeconomic and Firm-Specific Effects on Islamic Deposits Sustainability
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Adoption of ZakaTech in the Time of COVID-19: Cross-Country and Gender Differences
Published 2023“…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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On the weak convergence of stochastic integrals on Skorokhod space: From general theory to applications within the realm of continuous-time random walks
Published 2024“…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. …”
Thesis