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Lala H. Rajaoarisoa
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2020 – today
- 2024
- [j14]Lala H. Rajaoarisoa
, Michal Kuk
Hybrid and co-learning approach for anomalies prediction and explanation of wind turbine systems. Eng. Appl. Artif. Intell. 133: 108046 (2024) - [j13]Abdelaziz Bouzidi, Lala H. Rajaoarisoa
Explainable Artificial Intelligence Approach for Improving Head-Mounted Fault Display Systems. Future Internet 16(8): 282 (2024) - [j12]Blaise Ravelo
Luminosity Sensing Application of Negative Group Delay Predictor. IEEE Trans. Ind. Electron. 71(8): 9875-9885 (2024) - [c20]Abdelaziz Bouzidi, Luka Claeys, Raubertin Randrianandraina, Lala H. Rajaoarisoa, Hazem Wannous, Moamar Sayed Mouchaweh:
Deep learning for a customised head-mounted fault display system for the maintenance of wind turbines. ICCAD 2024: 1-6 - 2023
- [j11]Lala H. Rajaoarisoa
Decentralized fault-tolerant controller based on cooperative smart-wireless sensors in large-scale buildings. J. Netw. Comput. Appl. 214: 103605 (2023) - [j10]Blaise Ravelo
Low-Pass NGD Digital Circuit Application for Real-Time Greenhouse Temperature Prediction. IEEE Trans. Circuits Syst. II Express Briefs 70(9): 3709-3713 (2023) - [j9]Blaise Ravelo
All-Pass NGD FIR Original Study for Sensor Failure Detection Application. IEEE Trans. Ind. Electron. 70(9): 9561-9571 (2023) - [c19]Michal Kuk
Feature Importances as a Tool for Root Cause Analysis in Time-Series Events. ICCS (5) 2023: 408-416 - [c18]Jonathan Jeremie Randriarison, Lala H. Rajaoarisoa, Moamar Sayed Mouchaweh:
Faults explanation based on a machine learning model for predictive maintenance purposes. ICCAD 2023: 1-6 - [c17]Raubertin Randrianandraina, Julien Chapuy, Lala H. Rajaoarisoa
Wind Turbine Generator Bearing Anomaly Detection and Explanation Using RRCF Approach. ICMLA 2023: 1574-1581 - [c16]Szymon Bobek, Slawomir Nowaczyk, João Gama, Sepideh Pashami, Rita P. Ribeiro, Zahra Taghiyarrenani, Bruno Veloso, Lala H. Rajaoarisoa, Maciej Szelazek, Grzegorz J. Nalepa:
Why Industry 5.0 Needs XAI 2.0? xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 1-6 - [i1]Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan, Jakub Jakubowski, Nuno Paiva, Narjes Davari, Szymon Bobek, Samaneh Jamshidi, Hamid Sarmadi, Abdallah Alabdallah, Rita P. Ribeiro, Bruno Veloso, Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa, Grzegorz J. Nalepa, João Gama:
Explainable Predictive Maintenance. CoRR abs/2306.05120 (2023) - 2022
- [j8]Blaise Ravelo
Thermal Wave Variation Anticipation Under Minute Scale Time-Advance With Low-Pass NGD Digital Circuit. IEEE Access 10: 127654-127666 (2022) - [j7]Blaise Ravelo
Low-Pass NGD Numerical Function and STM32 MCU Emulation Test. IEEE Trans. Ind. Electron. 69(8): 8346-8355 (2022) - [c15]A. Anderson, Javier G. Martin, Noury Bouraqadi, Lucien Etienne, Kokou Langueh, Lala H. Rajaoarisoa, Guillaume Lozenguez, Luc Fabresse, José M. Maestre, Eric Duviella:
Nonlinear Set-based Model Predictive Control for Exploration: Application to Environmental Missions. ICINCO 2022: 230-237 - [c14]Moamar Sayed Mouchaweh, Lala H. Rajaoarisoa:
Explainable Decision Support Tool for IoT Predictive Maintenance within the context of Industry 4.0. ICMLA 2022: 1492-1497 - [c13]Lala H. Rajaoarisoa
Switching predictive controller for building optimal thermal comfort. MED 2022: 127-132 - [c12]Lucien Etienne, Kokou Langueh
Self triggered controller co-design using LASSO regression. MED 2022: 139-144 - 2021
- [j6]Elie Zaraket
An overview on low energy wake-up radio technology: Active and passive circuits associated with MAC and routing protocols. J. Netw. Comput. Appl. 190: 103140 (2021) - [j5]Debora C. S. Alves, Joaquim Blesa
Robust Data-Driven Leak Localization in Water Distribution Networks Using Pressure Measurements and Topological Information. Sensors 21(22): 7551 (2021) - 2020
- [j4]Rivo Randriatsiferana
Zonal Thermal Room Original Model With Kron's Method. IEEE Access 8: 174893-174909 (2020) - [j3]Blaise Ravelo
Original Theory of NGD Low Pass-High Pass Composite Function for Designing Inductorless BP NGD Lumped Circuit. IEEE Access 8: 192951-192964 (2020)
2010 – 2019
- 2019
- [c11]Pau Segovia
A communication-based distributed model predictive control approach for large-scale systems. CDC 2019: 8366-8371 - 2018
- [j2]Pau Segovia
Modeling and fault diagnosis of flat inland navigation canals. J. Syst. Control. Eng. 232(6): 761-771 (2018) - [c10]Pau Segovia
Input-Delay Model Predictive Control of Inland Waterways Considering the Backwater Effect. CCTA 2018: 589-594 - 2017
- [c9]Pau Segovia
Decentralized control of inland navigation networks with distributaries: Application to navigation canals in the north of France. ACC 2017: 3341-3346 - [c8]Pau Segovia
Fault detection and isolation in flat navigation canals. CoDIT 2017: 427-432 - [c7]Pau Segovia
Modeling of Two Sub-reach Water Systems: Application to Navigation Canals in the North of France. ICINCO (1) 2017: 459-467 - 2015
- [c6]Houda Nouasse
Study of drought impact on inland navigation systems based on a flow network model. ICAT 2015: 1-6 - [c5]Klaudia Horváth, Eric Duviella
Improvement of Navigation Conditions Using Model Predictive Control - The Cuinchy-Fontinettes Case Study. ICCL 2015: 222-237 - 2014
- [j1]Klaudia Horváth, Eric Duviella
Gray-Box Model of Inland Navigation Channel: Application to the Cuinchy-Fontinettes Reach. J. Intell. Syst. 23(2): 183-199 (2014) - [c4]Klaudia Horváth, Mihály Petreczky, Lala H. Rajaoarisoa
MPC control of water level in a navigation canal - The Cuinchy-Fontinettes case study. ECC 2014: 1337-1342 - 2013
- [c3]Eric Duviella
Fault Detection and Isolation of inland navigation channel: Application to the Cuinchy-Fontinettes reach. CDC 2013: 4877-4882 - [c2]Eric Duviella
Adaptive and Predictive Control Architecture of Inland Navigation Networks in a Global Change Context: Application to the Cuinchy-Fontinettes Reach. MIM 2013: 2201-2206 - 2011
- [c1]Lala H. Rajaoarisoa
State estimation for MIMO hybrid dynamical model. CDC/ECC 2011: 5455-5460
Coauthor Index
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last updated on 2024-10-04 20:03 CEST by the dblp team
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