Embedding methods for massing and detail design in computer generated design of skyscrapers by Chen, Shouheng, S.M. Massachusetts Institute of Technology

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Narration of light : computational tools for framing the tonal imagination by Gün, Onur Yüce

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Interdiffusivity in titanium-tantalum alloys processed at 1473 K by Dibbern, Jennifer C

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It's about time : temporal representations for synthetic characters by Burke, Robert Carrington, 1976-

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A language-based approach to categorical analysis by Marlow, Cameron Alexander, 1977-

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Non-verbal signals for grounding in embodied conversational agent by Nakano, Yukiko I., 1963-

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Terminal area flight path generation using parallel constraint propagation by Sadoune, Michel

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The engineers and the urban system, 1968-1974/ by Wood, Alexander Hilton

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Faces as a "Model Category" for Visual Object Recognition by Tan, Cheston, Poggio, Tomaso

“…Here we show that "neural tuning size" -- a single parameter in a computational model of object processing -- is able to account for important face-specific phenomena. …”
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Scenarios discovery : robust transportation policy analysis in Singapore using microscopic traffic simulator by Song, Xiang, Ph. D. Massachusetts Institute of Technology

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On the nature and origin of intuitive theories : learning, physics and psychology by Ullman, Tomer David

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Behavioural, electrophysiological and connectionist studies in inflectional morphology by Shilson, G

“…The past 15 years have seen the development of a radical challenge to this view, derived from a form of computational modelling called Parallel Distributed Processing or connectionism. …”

The roles of dopamine and serotonin in decision making: evidence from pharmacological experiments in humans. by Rogers, R

“…However, the available data are broadly consistent with current computational models of dopamine function in decision making and highlight the dissociable roles of dopamine receptor systems in the learning about outcomes that underpins value-based decision making. …”

Global geomagnetic perturbation forecasting using deep learning by Upendran, V, Tigas, P, Ferdousi, B, Bloch, T, Cheung, MCM, Ganju, S, Bhatt, A, McGranaghan, RM, Gal, Y

“…<p>Geomagnetically Induced Currents (GICs) arise from spatio-temporal changes to Earth's magnetic field, which arise from the interaction of the solar wind with Earth's magnetosphere, and drive catastrophic destruction to our technologically dependent society. Hence, computational models to forecast GICs globally with large forecast horizon, high spatial resolution and temporal cadence are of increasing importance to perform prompt necessary mitigation. …”

The Neurophysiology of Backward Visual Masking: Information Analysis

“…n Backward masking can potentially provide evidence of the time needed for visual processing, a fundamental constraint that must be incorporated into computational models of vision. Although backward masking has been extensively used psychophysically, there is little direct evidence for the effects of visual masking on neuronal responses. …”

Hierarchical decision making with dynamic reward structures by Wang, M

“…I will demonstrate how the two experiments, combined with computational models and neurophysiological recordings, probe into the cognitive mechanisms of how the brain tracks changes and integrates evidence across time for a specific choice or long term estimate of option values. …”

A roadmap for a computational theory of the value of information in origin of life questions by Banerjee, S

“…This article proposes a role for information processing in questions around the origin of life and suggests how computational simulations may yield insights into questions related to the origin of life. Such a computational model of the origin of life would unify thermodynamics with information processing and we would gain an appreciation of why proteins and nucleotides evolved as the substrate of computation and information processing in living systems that we see on Earth. …”

Patient-specific models of cerebral aneurysm evolution by Selimovic, A

“…The low incidence of rupture coupled with risks of interventional treatments provide motivation for identifying and treating only those aneurysms at risk of rupture. Computational models of aneurysm evolution may provide great insight into CA disease mechanisms, and guide clinical decision-making.…”

Non-ballistic Modeling Transport of Phonon Scattering in Carbon Nanotube and Silicon Nanowire Field-Effect Transistors by Chin, H. C., Tan, M. L. P.

Flood forecasting using artificial neural network (ANN) in Maran, Pahang by Nur Atiyah Dinie, Mat Arifin

“…An artificial neural network or known as ANN is a computing model with a nonlinear mathematical approach that has been proven in many forecasting studies. …”
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