Farhat Fnaiech
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 10 citations into it
- Artificial Intelligence — 5 citations into it
Whom Farhat Fnaiech trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Farhat Fnaiech overall
Papers from Farhat Fnaiech's perspective
Ordered by how strongly the researchers Farhat Fnaiech trusts endorse each paper. Same corpus, a different order for every researcher.
- The Nature of Statistical Learning Theory
- LIBSVM: A library for support vector machines
- Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
- Flexible, High Performance Convolutional Neural Networks for Image Classification
- Lithium-ion battery state of health monitoring and remaining useful life prediction based on support vector regression-particle filter
- Theano: new features and speed improvements
- Bearing Health Monitoring Based on Hilbert–Huang Transform, Support Vector Machine, and Regression (IEEE Transactions on Instrumentation and Measurement)
- Intelligent Particle Filter and Its Application to Fault Detection of Nonlinear System (IEEE transactions on industrial electronics (1982. Print))
- Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network
- A novel multistage Support Vector Machine based approach for Li ion battery remaining useful life estimation
Their papers
- Direct Remaining Useful Life Estimation Based on Support Vector Regression (2017) — 379 citations
- Convolutional neural network for video fire and smoke detection (2016) — 326 citations
- Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network (2015) — 499 citations
- Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals (2015) — 731 citations