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 …
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
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 …
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 …
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
Localization is a critical concern in many wireless sensor network (WSN) applications.
Furthermore, correct information regarding the geographic placements of nodes (sensors) is …
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 …
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
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 …
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
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 …
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
Alzheimer's represents a significant challenge in medicine, primarily based on the
assessment of symptoms by healthcare professionals. Early detection and appropriate …
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 …
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
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 …
the connected wireless sensor nodes has not great significance without knowing its …