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Kamran Javed, Ph.D
Kamran Javed, Ph.D
NU TECH, SENSEYE UK, FCLAB France, ENSMM France, FEMTO-ST France
Verified email at femto-st.fr
Title
Cited by
Cited by
Year
Enabling Health Monitoring Approach Based on Vibration Data for Accurate Prognostics
K Javed, R Gouriveau, N Zerhouni, P Nectoux
IEEE Transaction on Industrial Electronics, 2014
3712014
State of the art and taxonomy of prognostics approaches, trends of prognostics applications and open issues towards maturity at different technology readiness levels
NZ Kamran Javed, Rafael Gouriveau
Mechanical Systems and Signal Processing 94, 214–236, 2017
2552017
A New Multivariate Approach for Prognostics Based on Extreme Learning Machine and Fuzzy Clustering
K Javed, R Gouriveau, N Zerhouni
IEEE Transactions on Cybernetics 45 (12), 2626-2639, 2015
2162015
Prognostics of proton exchange membrane fuel cells stack using an ensemble of constraints based connectionist networks
K Javed, R Gouriveau, N Zerhouni, D Hissel
Journal of Power Sources 324, 745-757, 2016
1332016
Tool wear monitoring and prognostics challenges: a comparison of connectionist methods toward an adaptive ensemble model
K Javed, R Gouriveau, X Li, N Zerhouni
Journal of Intelligent Manufacturing, 1-18, 2016
1302016
SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization
K Javed, R Gouriveau, N Zerhouni
Neurocomputing 123, 299-307, 2014
982014
A feature extraction procedure based on trigonometric functions and cumulative descriptors to enhance prognostics modeling
K Javed, R Gouriveau, N Zerhouni, P Nectoux
2013 ieee conference on prognostics and health management (phm), 1-7, 2013
892013
Thesis: A Robust & Reliable Data-driven Prognostics Approach Based on Extreme Learning Machine and Fuzzy Clustering
K JAVED
FEMTO-ST, 2014
77*2014
Novel failure prognostics approach with dynamic thresholds for machine degradation
K Javed, R Gouriveau, N Zerhouni
IECON 2013-39th annual conference of the IEEE industrial electronics society …, 2013
692013
Improving accuracy of long-term prognostics of PEMFC stack to estimate remaining useful life
K Javed, R Gouriveau, N Zerhouni, D Hissel
2015 IEEE international conference on industrial technology (ICIT), 1047-1052, 2015
582015
Data-driven Prognostics of Proton Exchange Membrane Fuel Cell Stack with constraint based Summation-Wavelet Extreme Learning Machine
K Javed, R Gouriveau, N Zerhouni, D Hissel
6th International Conference on ”Fundamentals & Development of Fuel Cells …, 2015
472015
Features selection procedure for prognostics: An approach based on predictability
K Javed, R Gouriveau, R Zemouri, N Zerhouni
IFAC Proceedings Volumes 45 (20), 25-30, 2012
432012
Robust, reliable and applicable tool wear monitoring and prognostic: approach based on an improved-extreme learning machine
K Javed, R Gouriveau, N Zerhouni, R Zemouri, X Li
2012 IEEE Conference on prognostics and health management, 1-9, 2012
422012
PEM fuel cell prognostics under variable load: A data-driven ensemble with new incremental learning
K Javed, R Gouriveau, N Zerhouni, D Hissel
2016 International Conference on Control, Decision and Information …, 2016
282016
Improving data-driven prognostics by assessing predictability of features.
K Javed, R Gouriveau, R Zemouri, N Zerhouni
Proceedings of the Annual Conference of the Prognostics and Health …, 2011
272011
A vision-based path planning and object tracking framework for 6-DOF robotic manipulator
A Shahzad, X Gao, A Yasin, K Javed, SM Anwar
IEEE Access 8, 203158-203167, 2020
262020
Unlocking maintenance insights in industrial text through semantic search
SMR Naqvi, M Ghufran, C Varnier, JM Nicod, K Javed, N Zerhouni
Computers in Industry 157, 104083, 2024
102024
ANN based short term load forecasting paradigms for WAPDA Pakistan
L Khan, K Javed, S Mumtaz
A. Journal of Basic and Applied Sciences 4 (5), 932-947, 2010
42010
Real Time Worker Stress Prediction in a Smart Factory Assembly Line
OHA HASSAN HIJRY, S. M. R. NAQVI , KAMRAN JAVED
IEEE Access, 2024
32024
An efficient Connectivity Restoration Technique (ECRT) for Wireless Sensor Network
Mahmood ul Hassan, Shahzad Ali, Javed Kamran
CMC-COMPUTERS MATERIALS & CONTINUA, 2021
2*2021
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Articles 1–20