Search

نمایش تعداد 1-10 از 10

Global sensitivity analysis of an in sewer process model for the study of sulfide induced corrosion of concrete.

نوع: Journal Paper

ناشر: IWA Publishing

سال: 2014

Bending modes of two-phase magnetoelectric structure

نوع: Conference Paper

ناشر: IEEE

سال: 2014

Global sensitivity analysis techniques to simplify the calibration of traffic simulation models. Methodology and application to the IDM car-following model

نوع: Journal Paper

نویسنده : Ciuffo, Biagio; Punzo, Vincenzo; Montanino, Marcello

ناشر: IET

سال: 2014

Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes—A New Framework for Feedforward Neural Networks

نوع: Journal Paper

نویسنده : Fock, Eric

ناشر: IEEE

سال: 2014

Surrogate-Based Analysis and Optimization for the Design of Heat Sinks With Jet Impingement

نوع: Journal Paper

نویسنده : Xueguan Song; Jie Zhang; Sanghoon Kang; Mingyao Ma; Bing Ji; Wenping Cao; Pickert, Volker

ناشر: IEEE

سال: 2014

Reliable multipath wireless sensor network routing protocol scheme for network lifetime maximization

نوع: Conference Paper

نویسنده : Chatterjee, Aditi; Mukherjee, Debaprasad

ناشر: IEEE

سال: 2014

Quantitative Sensitivity Analysis of Surface Attached Optical Fiber Strain Sensor

نوع: Journal Paper

نویسنده : Kai Tai Wan

ناشر: IEEE

سال: 2014

A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models

نوع: Journal Paper

نویسنده : Ciuffo, Biagio; Lima Azevedo, Carlos

ناشر: IEEE

سال: 2014

Linear Subspace Reduction for Quasistatic Field Simulations to Accelerate Repeated Computations

نوع: Journal Paper

نویسنده : Schmidthausler, Daniel; Schops, Sebastian; Clemens, Markus

ناشر: IEEE

سال: 2014

Development of a sampling-based global sensitivity analysis workflow for multiscale computational cancer models

نوع: Journal Paper

نویسنده : Zhihui Wang; Deisboeck, Thomas S.; Cristini, Vittorio

ناشر: IET

سال: 2014

Search

Global sensitivity analysis of an in sewer process model for the study of sulfide induced corrosion of concrete.

Bending modes of two-phase magnetoelectric structure

Global sensitivity analysis techniques to simplify the calibration of traffic simulation models. Methodology and application to the IDM car-following model

Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes—A New Framework for Feedforward Neural Networks

Surrogate-Based Analysis and Optimization for the Design of Heat Sinks With Jet Impingement

Reliable multipath wireless sensor network routing protocol scheme for network lifetime maximization

Quantitative Sensitivity Analysis of Surface Attached Optical Fiber Strain Sensor

A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models

Linear Subspace Reduction for Quasistatic Field Simulations to Accelerate Repeated Computations

Development of a sampling-based global sensitivity analysis workflow for multiscale computational cancer models

نویسنده

ناشر

سال

کلیدواژه

نوع

زبان

نوع محتوا

عنوان ناشر

Search

Filters

Global sensitivity analysis of an in sewer process model for the study of sulfide induced corrosion of concrete.

Bending modes of two-phase magnetoelectric structure

Global sensitivity analysis techniques to simplify the calibration of traffic simulation models. Methodology and application to the IDM car-following model

Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes&#x2014;A New Framework for Feedforward Neural Networks

Surrogate-Based Analysis and Optimization for the Design of Heat Sinks With Jet Impingement

Reliable multipath wireless sensor network routing protocol scheme for network lifetime maximization

Quantitative Sensitivity Analysis of Surface Attached Optical Fiber Strain Sensor

A Sensitivity-Analysis-Based Approach for the Calibration of Traffic Simulation Models

Linear Subspace Reduction for Quasistatic Field Simulations to Accelerate Repeated Computations

Development of a sampling-based global sensitivity analysis workflow for multiscale computational cancer models

Global Sensitivity Analysis Approach for Input Selection and System Identification Purposes—A New Framework for Feedforward Neural Networks