Regularized least square multi-hops localization algorithm based on DV-Hop for wireless sensor networks

H Liouane, S Messous, O Cheikhrouhou - Telecommunication Systems, 2022 - Springer
Localization is a crucial method applied in Wireless Sensor Networks (WSNs) to determine
the geographic position of the sensor nodes in the sensing region. Many existing WSNs …

New online dv-hop algorithm via mobile anchor for wireless sensor network localization

O Liouane, S Femmam, T Bakir… - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
In many applications of Wireless Sensor Networks (WSNs), event detection is the main
purpose of users. Moreover, determining where and when that event occurs is crucial; thus …

Online estimation method for extreme learning machine with kernels based on the multi-innovation theory and intelligent optimization strategy

Y Wang, Y Liu, W Li, M Deng, K Wang - ISA transactions, 2025 - Elsevier
In order to effectively model data online, a learning model must not only have the high
adaptability of dynamic data but also keep the low complexity to meet the online computing …

[PDF][PDF] Novel DV-Hop algorithm-based machines learning technics for node localization in range-free wireless sensor networks

O Liouane, S Femmam, T Bakir… - Int J Inf & Commun …, 2023 - academia.edu
Localization is a critical concern in many wireless sensor network (WSN) applications.
Furthermore, correct information regarding the geographic placements of nodes (sensors) is …

Improved Distance vector based Kalman Filter localization algorithm for wireless sensor network

R Mani, S Messous, G Campobello… - 2023 International …, 2023 - ieeexplore.ieee.org
Localization is a crucial concern in many wireless sensor networks (WSN) applications.
Moreover, getting accurate information about the geographic positions of nodes in the …

Improved Least-Square DV-Hop Algorithm for Localization in large scale wireless sensor network

R Mani, JL Sevillano, N Liouane - … International Conference on …, 2022 - ieeexplore.ieee.org
Certain applications of wireless sensor networks require that the sensor nodes should be
aware of their position relative to the sensor environment. Generally in the applications of …

Node Localization in Range-Free 3D-WSNs Using New DV-Hop Algorithm Based Machine Learning Techniques

O Liouane, S Femmam, T Bakir… - Proceedings of the 2022 …, 2022 - dl.acm.org
In many Wireless Sensor Network (WSN) applications, location is critical. Another intriguing
aspect of the acquired data is the ability to obtain exact information about sensors' locations …

[PDF][PDF] Deep Learning-Based Classification and Diagnosis of Alzheimer's & Dementia Using Multi-scale Feature Extraction from Baseline MRI Scans

M Femmam, S Femmam, ME Fareh, OA Senni… - Journal of Image and …, 2024 - joig.net
Alzheimer's represents a significant challenge in medicine, primarily based on the
assessment of symptoms by healthcare professionals. Early detection and appropriate …

Regularized extreme learning machine based on variable step alternating direction method of multipliers.

LU Huihuang, ZOU Weidong… - Journal of Shenzhen …, 2024 - search.ebscohost.com
To address the deficiency of slow convergence rate and stagnation of error decay during
later iteration of alternating direction method of multipliers (ADMM) for regularized extreme …

Online sequential DV-Hop Localization Algorithm Based on Machine Learning for Wireless Sensors Network

O Liouane, S FEMMAM, T BAKIR - 2023 - researchsquare.com
In many applications of Wireless Sensor Network (WSN), the transmitted data collected from
the connected wireless sensor nodes has not great significance without knowing its …