Perception and characterization of materials using signal processing techniques S Femmam, NK M'Sirdi, A Ouahabi IEEE Transactions on Instrumentation and Measurement 50 (5), 1203-1211, 2001 | 34 | 2001 |
Improved Two Hidden Layers Extreme Learning Machines for Node Localization in Range Free Wireless Sensor Networks. O Liouane, S Femmam, T Bakir, AB Abdelali J. Commun. 16 (12), 528-534, 2021 | 13 | 2021 |
Application of change detection technique to ultrasound signal processing. Use of spectral parametric estimation, time-frequency and wavelet S Femmam, NK M'sirdi Proceedings of Thirtieth Southeastern Symposium on System Theory, 203-207, 1998 | 12 | 1998 |
On-line Sequential ELM based localization process for large scale Wireless Sensors Network O Liouane, S Femmam, T Bakir, AB Abdelali 2021 International Conference on Control, Automation and Diagnosis (ICCAD), 1-6, 2021 | 8 | 2021 |
A beacon cluster-tree construction approach for zigBee/IEEE802. 15.4 networks MI Benakila, L George, S Femmam UBICOMM: The Fourth International Conference on Mobile Ubiquitous Computing …, 2010 | 7 | 2010 |
Improved One-Dimensional Piecewise Chaotic Maps for Information Security. I Aouissaoui, T Bakir, A Sakly, S Femmam J. Commun. 17 (1), 11-16, 2022 | 6 | 2022 |
Cosmological evolution of quasar radio emission in the view of multifractality AB Belete, S Femmam, M Tornikosk, A Lähteenmäki, J Tammi, IC Leão, ... The Astrophysical Journal 873 (2), 108, 2019 | 6 | 2019 |
New" graphiton" model: a computational discrete space, self-encoded as a trivalent graph R Aschheim, S Femmam, MF Zerarka Computer and Information Science 5 (1), 2, 2012 | 6 | 2012 |
Analyse, traitement et diagnostic des signaux non-stationnaires par détection de ruptures et temps-Fréquence: application à la perception et à la caractérisation S Femmam Editions Universitaires Européennes, 2011 | 6 | 2011 |
Méthodes et algorithmes de segmentation des signaux par détection de ruptures S Femmam Report, Laboratoire de robotique de Paris, 1997 | 6 | 1997 |
Méthodes et algorithmes en temps-fréquence et temps-échelle S Femmam Report, Laboratoire de robotique de Paris, 1997 | 6 | 1997 |
Fast and efficient feature selection method using bivariate copulas K Femmam, S Femmam Journal of Advances in Information Technology Vol 13 (3), 2022 | 5 | 2022 |
Building wireless sensor networks: Application to routing and data diffusion S Femmam Elsevier, 2017 | 5 | 2017 |
A New Topology Time Division Beacon Construction Approach for IEEE802. 15.4/ZigBee Cluster-Tree Wireless Sensor Networks S Femmam, IM Benakila 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th …, 2016 | 5 | 2016 |
New Approach Construction for Wireless ZigBee Sensor Based on Embedding Pancake Graphs S Femmam, MF Zerarka, MI Benakila Network and Communication Technologies 1 (1), 2012 | 5 | 2012 |
A Beacon-Aware Device for the Interconnection of Zig Bee Networks MI Benakila, L George, S Femmam IFAC Proceedings Volumes 42 (3), 123-130, 2009 | 5 | 2009 |
Texture classification approach based on 2D multifractal analysis S Femmam SPIE Newsroom, 2015 | 4 | 2015 |
Failures detection and estimation of non-stationary signals by time-scale frequency techniques S Femmam American Journal of Scientific and Industrial Research, 2010 | 4 | 2010 |
A signal processing detection applied to knock intensity measurement in spark ignition engines S Femmam, B Lemercier, R Mokhneche, L George 4th WSEAS International Conference on signal Processing, Robotics and …, 2005 | 4 | 2005 |
Segmentation with predictive error and recursive likelihood ratio deviation methods in material characterization S Femmam, NK M'Sirdi 9th European Signal Processing Conference (EUSIPCO 1998), 1-4, 1998 | 4 | 1998 |