Robust fuzzy model predictive control of discrete-time Takagi–Sugeno systems with nonlinear local models by Teng, Long, Wang, Youyi, Cai, Wenjian, Li, Hua

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A Mechanistic Model of the Actin Cycle by Bindschadler, M., Osborn, E. A., Dewey, C. F. Jr, McGrath, J. L.

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Mathematical model of plant nutrient uptake by Roose, T

“…The simplicity and clarity of the analytical formulae for the solution of the single root models allows the extension of these models to more realistic branched roots. …”

Solar vehicle to grid simulation model by Lim, Yihn Shin.

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Leakage modelling of revolving vane expander by Hans, Hendrik.

“…Therefore, the leakage modeling becomes the main issue to be resolved. For most of the time, researchers on leakage always assumed that radial leakage is more important than endface leakage and more prominent, therefore they made assumptions that endface leakage is negligible as compared to radial leakage. …”
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Advancements in Models and Algorithms for Management Science by Yao, Yuanfan (Evan)

“…Our work argues that explaining when a model makes confident predictions is more useful to a practitioner as such predictions typically correspond to when a model is more accurate and reliable. …”
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Predicting bank failures : a comparison of the Cox proportional hazards model and time-varying covariates model. by Cheng, Philip Yim Kwong.

“…As a contribution to bank regulation by improving the accuracy of predicting failed banks, I first illustrate the use of martingale and other residuals as diagnostic checks for Cox’s proportional hazards model. Second, I discuss and substantiate the claim that a time-varying covariates model is superior to the Cox model as a bank failure model.…”
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Modelling self-awareness in social robot by Zhang, Jiaheng

“…An important finding was that the Dependency algorithm was able to extract about 99.1% more sentiments and 100% more emotions than OpenIE.…”
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Personalised modelling of geographic movements in depression by Palmius, N

“…Regression models trained on these grouped individuals significantly improve on the regression results from models trained over all participants and models trained on limited calibration data.…”

Mathematical modelling of seepage through dam by Ting, Huong Yun.

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Advances in Modeling Dense Granular Media by Kamrin, Ken, Hill, Kimberly M., Goldman, Daniel I., Andrade, Jose E.

“…Our review focuses on advances in modeling more material types and behaviors including new approaches for modeling finite-grain-size effects or nonlocality, polydispersity and unmixing, and nontrivial grain shapes. …”
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Large multimodal models for visual reasoning by Duong, Ngoc Yen

“…This paper introduces a novel framework for enhancing visual spatial reasoning by leveraging the strengths of Large Language Models (LLMs) and Vision-Language Models (VLMs). We propose two complementary methods: LLMGuide and LLMVerify. …”
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Measurement and modeling of airflow around buildings by Lim, Tianshun

“…The standard k-ɛ model is applied as a canopy model and standard wall functions are being adopted. …”
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Membrane distillation : module design and modeling by Yang, Xing

“…It was found that modified membranes presented better hydrophobicity while maintaining similar structural properties and less vulnerability to pore wetting, thus resulting in more sustainable long-term performance. Single fiber tests in combination with heat transfer analysis showed that a critical length Lc existed to assure sufficient driving force along the fiber to maintain a high MD efficiency. …”
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Modeling and improvement of tracked based vehicle by Yeo, Nick Xi Liang.

“…Furthermore, the interaction between the vehicle, flexible tracks and the terrain would pose more complexity for the simulation. However, similar to other modeling purposes, if track could be accurately modeled on any modeling software we could save cost and time from the engineering process. …”
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Mathematical modelling of subglacial drainage and erosion by Ng, FSL

“…In this thesis, we substantiate these developments by exploring a detailed model where the channel is underlain by subglacial till and the flow supports a sediment load. …”

Small-signal neural models and their applications by Basu, Arindam

“…Second, we use small-signal models for deriving parameters for a simple neural model (such as resonate and fire) from a more complicated but biophysically relevant one like Morris-Lecar. …”
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Modeling the change of beach profile under tsunami waves : a comparison of selected sediment transport models by Li, Linlin, Huang, Zhenhua

“…In contrast to the efforts made to develop hydrodynamic models for large-scale tsunami propagation and run-up, little has been done to develop, test, and validate sediment transport models used to simulate tsunami-induced sediment movement. …”
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Phantom validation of Monte Carlo modeling for noncontact depth sensitive fluorescence measurements in an epithelial tissue model by Ong, Yi Hong, Zhu, Caigang, Liu, Quan

“…Phantom experiments have been carried out to validate the Monte Carlo modeling of fluorescence in a two-layered turbid, epithelial tissue model. …”
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Implementation of Models of Care for secondary osteoporotic fracture prevention and orthogeriatric Models of Care for osteoporotic hip fracture by Mitchell, P, Åkesson, K, Chandran, M, Cooper, C, Ganda, K, Schneider, M

“…This chapter focuses on current frameworks and major initiatives related to the implementation of fracture liaison services (FLS) and orthogeriatrics services (OGS), Models of Care designed to reliably implement secondary fracture prevention measures for individuals presenting to health services with fragility fractures. …”