Search Results - constrained fuzzy logic modeling

Visualization of drug target interactions in the contexts of pathways and networks with ReactomeFIViz [version 1; peer review: 3 approved] by Blucher, Aurora S, McWeeney, Shannon K, Stein, Lincoln, Wu, Guanming

“…The precision medicine paradigm is centered on therapies targeted to particular molecular entities that will elicit an anticipated and controlled therapeutic…”
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Probabilistic-constrained fuzzy logic for situation modeling by Jinhua Xiong, Jianping Fan

“… Such probabilistic-constrained fuzzy logic can be used in situation-aware applications. The paper then focuses on how to derive new fuzzy concepts from basic fuzzy partition…”
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Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions by Morris, Melody K., Shriver, Zachary, Sasisekharan, Ram, Lauffenburger, Douglas A.

“… Here, we present a framework called “querying quantitative logic models” (Q2LM) for building and asking questions of constrained fuzzy logic (cFL) models…”
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Network analysis of differential Ras isoform mutation effects on intestinal epithelial responses to TNF-α by Lau, Ken S, Schrier, Sarah B, Gierut, Jessica, Lyons, Jesse, Lauffenburger, Douglas A, Haigis, Kevin M

“…Tumor necrosis factor alpha (TNF-α) is an inflammatory cytokine that can elicit distinct cellular behaviors under different molecular contexts. Mitogen…”
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Assessment of herbaceous plant habitats in water-constrained environments: predicting indirect effects with fuzzy logic by Svoray, Tal, Gancharski, Shiri Bar-Yamin, Henkin, Zalmen, Gutman, Mario

“… The model is based on geographic information systems (GIS), remote sensing and fuzzy logic, while four indirect variables, which represent major characteristics of herbaceous habitats, are modeled…”
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Systematic Analysis of Quantitative Logic Model Ensembles Predicts Drug Combination Effects on Cell Signaling Networks by Morris, MK, Clarke, DC, Osimiri, LC, Lauffenburger, DA

“… We describe here our application of “constrained fuzzy logic” (CFL) ensemble modeling of the intracellular signaling network for predicting inhibitor treatments that reduce the phospho…”
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Normalization and statistical analysis of multiplexed bead-based immunoassay data using mixed-effects modeling by Clarke, David C, Morris, Melody K, Lauffenburger, Douglas A

“… in robust quantitative analysis of the measurements. Here we report our application of mixed-effects modeling for the normalization and statistical analysis of bead-based immunoassay data…”
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Adaptive command-filtered fuzzy backstepping control for linear induction motor with unknown end effect by Xu, Dezhi, Huang, Jie, Su, Xiaojie, Shi, Peng

“… are designed.The fuzzy logic modeling approach is used to deal with the unknown nonlinear functions and uncertain parameters…”
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Adaptive Fuzzy Neural Network Control for a Constrained Robot Using Impedance Learning by He, Wei, Dong, Yiting

“…This paper investigates adaptive fuzzy neural network (NN) control using impedance learning for a constrained robot, subject to unknown system dynamics…”
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Fuzzy-based modeling and speed optimization of a centrifugal blood pump using a modified and constrained Bees algorithm by Incebay, Omer, Onder, Ahmet, Arif Sen, Muhammed, Yapici, Rafet, Kalyoncu, Mete

“…•Fuzzy logic based modelling of blood pumps with results from CFD simulations. Side effects that may occur when using blood pumps for treatment of patients are the main limitations on pump rotational speed determination…”
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System Transformation-Based Event-Triggered Fuzzy Control for State Constrained Nonlinear Systems With Unknown Control Directions by Wang, Lixue, Wang, Min, Meng, Wenchao

“…This paper focuses on the event-triggered (ET) fuzzy tracking control for uncertain state constrained strict-feedback systems with unknown control directions…”
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Chaos particle swarm optimization and T–S fuzzy modeling approaches to constrained predictive control by Jiang, Huimin, Kwong, C.K., Chen, Zengqiang, Ysim, Y.C.

“…) have been used to perform predictive control. ► Chaos particle swarm optimization (CPSO) and T-S fuzzy modeling approaches are proposed to perform constrained predictive control…”
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Constrained neuro fuzzy inference methodology for explainable personalised modelling with applications on gene expression data by Singh, Balkaran, Doborjeh, Maryam, Doborjeh, Zohreh, Budhraja, Sugam, Tan, Samuel, Sumich, Alexander, Goh, Wilson, Lee, Jimmy, Lai, Edmund, Kasabov, Nikola

“… This paper proposes a new methodology named personalised constrained neuro fuzzy inference (PCNFI…”
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Fuzzy-Constrained Incremental Random Weight Network for Industrial Process Soft Sensing by Wang, Qianjin, Luo, Yunfeng, Dai, Wei, Ma, Xiaoping

“…Data-driven modeling has emerged as a powerful approach for soft sensing of key performance indices in industrial processes…”
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Fuzzy Chance-Constrained Multiobjective Portfolio Selection Model by Mehlawat, Mukesh Kumar, Gupta, Pankaj

“…This paper addresses the problem of portfolio selection with fuzzy parameters from a perspective of chance-constrained multiobjective programming…”
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Constrained Multilegged Robot System Modeling and Fuzzy Control With Uncertain Kinematics and Dynamics Incorporating Foot Force Optimization by Li, Zhijun, Xiao, Shengtao, Ge, Shuzhi Sam, Su, Hang

“… First, a constrained dynamics for multilegged robots and the constrained environment model are established by considering both kinematic and dynamic uncertainties…”
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Modeling a Carbon-Efficient Road–Rail Intermodal Routing Problem with Soft Time Windows in a Time-Dependent and Fuzzy Environment by Chance-Constrained Programming by Sun, Yan, Sun, Guohua, Huang, Baoliang, Ge, Jie

“… The fuzzy truck speed leads to the fuzziness of three aspects, including speed-dependent CO2 emissions of the road, a timetable-constrained transfer process from road to rail, and delivery time window violation…”
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A Fuzzy Clustering Approach Toward Hidden Markov Random Field Models for Enhanced Spatially Constrained Image Segmentation by Chatzis, S.P., Varvarigou, T.A.

“…Hidden Markov random field (HMRF) models have been widely used for image segmentation, as they appear naturally in problems where a spatially constrained…”
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Fuzzy Approaches and Simulation-Based Reliability Modeling to Solve a Road–Rail Intermodal Routing Problem with Soft Delivery Time Windows When Demand and Capacity are Uncertain by Sun, Yan

“…–rail intermodal transportation system is investigated. According to fuzzy set theory, uncertain demands and capacities are formulated as trapezoidal fuzzy numbers…”
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A generalized fuzzy chance-constrained energy systems planning model for Guangzhou, China by Cai, Mengting, Huang, Guohe, Chen, Jiapei, Li, Yunhuan, Fan, Yurui

“…In this study, a generalized fuzzy chance constrained programming method is developed for the energy system planning in Guangzhou under multiple uncertainties…”
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