High-Dimensional Data Global Sensitivity Analysis Based on Deep Soft Sensor Model

Peering into agricultural rebound phenomenon using a global sensitivity analysis approach

(2021) Mohammad Ghoreishi et al.   JOURNAL OF HYDROLOGY

A Just-in-Time Fine-Tuning Framework for Deep Learning of SAE in Adaptive Data-Driven Modeling of Time-Varying Industrial Processes

(2020) Yijun Wu et al.   IEEE SENSORS JOURNAL

Deep Learning With Spatiotemporal Attention-Based LSTM for Industrial Soft Sensor Model Development

(2020) Xiaofeng Yuan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Identifying the Influential Inputs for Network Output Variance Using Sparse Polynomial Chaos Expansion

(2020) Zhanlin Liu et al.   IEEE Transactions on Automation Science and Engineering

Machine learning in drug development: Characterizing the effect of 30 drugs on the QT interval using Gaussian process regression, sensitivity analysis, and uncertainty quantification

(2019) Francisco Sahli Costabal et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Variance-Based Global Sensitivity Analysis for Power Systems

(2018) Fei Ni et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks

(2018) Min Xia et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Sensitivity Analysis for Probabilistic Neural Network Structure Reduction

(2018) Piotr A. Kowalski et al.   IEEE Transactions on Neural Networks and Learning Systems

Boosting Cooperative Coevolution for Large Scale Optimization With a Fine-Grained Computation Resource Allocation Strategy

(2018) Zhigang Ren et al.   IEEE Transactions on Cybernetics

Solving Incremental Optimization Problems via Cooperative Coevolution

(2018) Ran Cheng et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Sensitivity Analysis for Building Energy Simulation Model Calibration via Algorithmic Differentiation

(2017) Sisi Li et al.   IEEE Transactions on Automation Science and Engineering

A Comprehensive Evaluation of Microwave Emissivity and Brightness Temperature Sensitivities to Soil Parameters Using Qualitative and Quantitative Sensitivity Analyses

(2017) Chunfeng Ma et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Qualitative and quantitative analysis of oil samples extracted from some Bashkortostan and Tatarstan oilfields based on NMR spectroscopy data

(2017) I.Z. Rakhmatullin et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

(2017) Luyang Jing et al.   SENSORS

Global Sensitivity Estimates for Neural Network Classifiers

(2017) Francisco Fernandez-Navarro et al.   IEEE Transactions on Neural Networks and Learning Systems

Sensor Fusion for Robotic Workspace State Estimation

(2016) Bjorn Olofsson et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Sensitivity Analysis of Real-Time Locational Marginal Price to SCADA Sensor Data Corruption

(2014) Dae-Hyun Choi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

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

(2014) Eric Fock   IEEE Transactions on Neural Networks and Learning Systems

Cooperative Co-Evolution With Differential Grouping for Large Scale Optimization

(2013) Mohammad Nabi Omidvar et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Prediction of physical-chemical properties of crude oils by1H NMR analysis of neat samples and chemometrics

(2012) Alice Masili et al.   MAGNETIC RESONANCE IN CHEMISTRY

Support vector machine regression (SVR/LS-SVM)—an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data

(2011) Roman M. Balabin et al.   ANALYST

1H low- and high-field NMR study of the effects of plasma treatment on the oil and water fractions in crude heavy oil

(2011) Hercílio D.A. Honorato et al.   FUEL

Variance based sensitivity analysis of model output. Design and estimator for the total sensitivity index

(2009) Andrea Saltelli et al.   COMPUTER PHYSICS COMMUNICATIONS

Derivative based global sensitivity measures and their link with global sensitivity indices

(2009) I.M. Sobol’ et al.   MATHEMATICS AND COMPUTERS IN SIMULATION