Citation Impact
Citing Papers
A review on automated sorting of source-separated municipal solid waste for recycling
2016 Standout
A Recurrent Neural Network for Solving Nonlinear Convex Programs Subject to Linear Constraints
2005
A survey of deep learning techniques for autonomous driving
2019 Standout
Artificial intelligence for fault diagnosis of rotating machinery: A review
2018 Standout
Prognosis of Defect Propagation Based on Recurrent Neural Networks
2011
Overview of Environment Perception for Intelligent Vehicles
2017
Multisensor Fault Diagnosis Modeling Based on the Evidence Theory
2018
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 Standout
Deep learning for smart manufacturing: Methods and applications
2018 Standout
Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
2018
Multisensor data fusion: A review of the state-of-the-art
2011
Maximising entropy on the nonparametric predictive inference model for multinomial data
2011
Vibration signal analysis and fault diagnosis of bogies of the high-speed train based on deep neural networks
2017
A recurrent neural network based health indicator for remaining useful life prediction of bearings
2017 Standout
OFDM MIMO Radar With Mutual-Information Waveform Design for Low-Grazing Angle Tracking
2010
Remaining useful life estimation in prognostics using deep convolution neural networks
2017 Standout
A hybrid information fusion approach to safety risk perception using sensor data under uncertainty
2017
A survey on ensemble learning
2019 Standout
Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering With Application to Indirect Bridge Structural Health Monitoring
2014
Machinery health prognostics: A systematic review from data acquisition to RUL prediction
2017 Standout
Application of Internet of Things Technology and Convolutional Neural Network Model in Bridge Crack Detection
2018 Standout
Data-Driven Intelligent Transportation Systems: A Survey
2011 Standout
An Approach to Urban Traffic State Estimation by Fusing Multisource Information
2009
Improving Risk Evaluation in FMEA With Cloud Model and Hierarchical TOPSIS Method
2018 Standout
A dynamic overproduce-and-choose strategy for the selection of classifier ensembles
2008
Evaluating Green Supply Chain Management Practices Under Fuzzy Environment: A Novel Method Based on D Number Theory
2019
Conjunctive and disjunctive combination of belief functions induced by nondistinct bodies of evidence
2007
A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains
2019 Standout
Robust OFDM integrated radar and communications waveform design based on information theory
2019 Standout
D NUMBERS – FUCOM – FUZZY RAFSI MODEL FOR SELECTING THE GROUP OF CONSTRUCTION MACHINES FOR ENABLING MOBILITY
2021 Standout
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization
2018 Standout
A One-Layer Projection Neural Network for Nonsmooth Optimization Subject to Linear Equalities and Bound Constraints
2013 Standout
An interpretation of intuitionistic fuzzy sets in terms of evidence theory: Decision making aspect
2010 Standout
Analysis of traffic accident severity using Decision Rules via Decision Trees
2013 Standout
Applications of convex optimization in signal processing and digital communication
2003
A Convex Formulation for Hyperspectral Image Superresolution via Subspace-Based Regularization
2014
Theory and Applications of Robust Optimization
2011 Standout
Intelligent Manufacturing in the Context of Industry 4.0: A Review
2017 Standout
An Introduction to Key Technology in Artificial Intelligence and big Data Driven e-Learning and e-Education
2021 Standout
Works of Éloi Bossé being referenced
User information fusion decision making analysis with the C-OODA model
2011
Low-Angle Tracking in the Presence of Ducting, Coherent and Incoherent Multipath.
1994
A Maximum Likelihood Approach to Joint Image Registration and Fusion
2010
Neural data fusion algorithms based on a linearly constrained least square method
2002
<title>New initial basic probability assignments for multiple classifiers</title>
2002
Classification of audio radar signals using radial basis function neural networks
2003
Measuring ambiguity in the evidence theory
2006
Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure
2007
A new distance between two bodies of evidence
2001
Joint Data Association, Registration, and Fusion using EM-KF
2010
Fusion of Imperfect Information in the Unified Framework of Random Sets Theory: Application to Target Identification
2007
Robust combination rules for evidence theory
2008
Robust Filtering via Semidefinite Programming with Applications to Target Tracking
2002