Abdallah Makhoul
Abdallah Makhoul
Full Professor - FEMTO-ST institute, University of Franche-Comté
Verified email at - Homepage
Cited by
Cited by
An energy efficient IoT data compression approach for edge machine learning
J Azar, A Makhoul, M Barhamgi, R Couturier
Future Generation Computer Systems 96, 168-175, 2019
Self-adaptive data collection and fusion for health monitoring based on body sensor networks
C Habib, A Makhoul, R Darazi, C Salim
IEEE transactions on Industrial Informatics 12 (6), 2342-2352, 2016
A two tiers data aggregation scheme for periodic sensor networks.
JM Bahi, A Makhoul, M Medlej
Ad Hoc Sens. Wirel. Networks 21 (1-2), 77-100, 2014
An enhanced K-means and ANOVA-based clustering approach for similarity aggregation in underwater wireless sensor networks
H Harb, A Makhoul, R Couturier
IEEE Sensors Journal 15 (10), 5483-5493, 2015
Energy-efficient sensor data collection approach for industrial process monitoring
H Harb, A Makhoul
IEEE Transactions on Industrial Informatics 14 (2), 661-672, 2017
An efficient data model for energy prediction using wireless sensors
M Chammas, A Makhoul, J Demerjian
Computers & electrical engineering 76, 249-257, 2019
Adaptive data collection approach for periodic sensor networks
D Laiymani, A Makhoul
2013 9th international wireless communications and Mobile computing …, 2013
Comparison of different data aggregation techniques in distributed sensor networks
H Harb, A Makhoul, S Tawbi, R Couturier
IEEE access 5, 4250-4263, 2017
Residual energy-based adaptive data collection approach for periodic sensor networks
A Makhoul, H Harb, D Laiymani
Ad Hoc Networks 35, 149-160, 2015
Health risk assessment and decision-making for patient monitoring and decision-support using wireless body sensor networks
C Habib, A Makhoul, R Darazi, R Couturier
Information fusion 47, 10-22, 2019
A distributed real-time data prediction and adaptive sensing approach for wireless sensor networks
GB Tayeh, A Makhoul, D Laiymani, J Demerjian
Pervasive and Mobile Computing 49, 62-75, 2018
K-means based clustering approach for data aggregation in periodic sensor networks
H Harb, A Makhoul, D Laiymani, A Jaber, R Tawil
2014 IEEE 10th international conference on wireless and mobile computing …, 2014
Robust IoT time series classification with data compression and deep learning
J Azar, A Makhoul, R Couturier, J Demerjian
Neurocomputing 398, 222-234, 2020
A distance-based data aggregation technique for periodic sensor networks
H Harb, A Makhoul, D Laiymani, A Jaber
ACM Transactions on Sensor Networks (TOSN) 13 (4), 1-40, 2017
Risk-based adaptive scheduling in randomly deployed video sensor networks for critical surveillance applications
C Pham, A Makhoul, R Saadi
Journal of Network and Computer Applications 34 (2), 783-795, 2011
Data aggregation for periodic sensor networks using sets similarity functions
JM Bahi, A Makhoul, M Medlej
2011 7th International Wireless Communications and Mobile Computing …, 2011
Localization and coverage for high density sensor networks
JM Bahi, A Makhoul, A Mostefaoui
Computer Communications 31 (4), 770-781, 2008
A spatial-temporal correlation approach for data reduction in cluster-based sensor networks
GB Tayeh, A Makhoul, C Perera, J Demerjian
IEEE Access 7, 50669-50680, 2019
Wireless sensor networks: A big data source in Internet of Things
H Harb, AK Idrees, A Jaber, A Makhoul, O Zahwe, MA Taam
International Journal of Sensors Wireless Communications and Control 7 (2 …, 2017
Efficient and robust secure aggregation of encrypted data in sensor networks
JM Bahi, C Guyeux, A Makhoul
2010 Fourth International Conference on Sensor Technologies and Applications …, 2010
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