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کلمات کلیدی: computational model
موارد یافت شده: 19
1 - Benchmark exercise on image-based permeability determination of engineering textiles: Microscale predictions (چکیده)2 - On the Performance of Distributed and Cloud-Based Demand Response in Smart Grid (چکیده)
3 - Isogeometric analysis of functionally graded plates using a new quasi-3D shear deformation theory based on physical neutral surface (چکیده)
4 - Geometrically non-linear bending analysis of thick two-directional functionally graded annular sector and rectangular plates with variable thickness resting on non-linear elastic foundation (چکیده)
5 - Emotional Brain-Inspired Adaptive Fuzzy Decayed Learning for Online Prediction Problems (چکیده)
6 - A bridging model for branch-and-bound algorithmson multi-core architectures (چکیده)
7 - Measurement of the latency parameters of the Multi-BSP model: a multicore benchmarking approach (چکیده)
8 - BRAIN EMOTIONAL LEARNING-BASED PATTERN RECOGNIZER (چکیده)
9 - Non-linear analysis of fiber-reinforced open conical shell panels considering variation of thickness and fiber orientation under thermo-mechanical loadings (چکیده)
10 - Critical and synergy nodes in insulin-EGF signaling network (چکیده)
11 - Transient dynamic and free vibration analysis of functionally graded truncated conical shells with non-uniform thickness subjected to mechanical shock loading (چکیده)
12 - A Numerical Model for Modeling the Effect of Plasma Actuators in Flow Control (چکیده)
13 - Chaotic time series prediction based on emotional learning Fuzzy model (چکیده)
14 - Propagation of Trust and Confidence using Intervals (چکیده)
15 - Measurement of Power Supplier’s Market Power Using a Proposed Fuzzy Estimator (چکیده)
16 - Critical and synergy nodes in insulin-EGF signaling network (چکیده)
17 - On a 3D computational model of free surface flows including internal obstacles (چکیده)
18 - Simulation of the liquid film atomization (چکیده)
19 - An Adaptive Q-Learning Algorithm Developed for Agent-Based Computational Modeling of Electricity Market (چکیده)
