Optimal adjustment of deep neural network parameters in estimating lost vital sign data in body wireless sensor networks
In a wireless sensor network (WSN), due to various factors such as limited power, sensor transferability, hardware failure and network problems such as packet collisions, unreliable connection and unexpected damage, the amount sensed to the header or base station is not Arrives. Therefore, data loss...
Saved in:
Main Authors: | Aboulfazl Ebrahimi, Mahboubeh Shamsi, Morteza Mohajjel |
---|---|
Format: | Article |
Language: | fas |
Published: |
University of Qom
2023-09-01
|
Series: | مدیریت مهندسی و رایانش نرم |
Subjects: | |
Online Access: | https://jemsc.qom.ac.ir/article_2346_9e41dc69acba12012a1e8d76198a2774.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Recovery of Lost Target Using Target Tracking in Event Driven Clustered Wireless Sensor Network
by: Shailaja Patil, et al.
Published: (2014-01-01) -
Enhancing imputation accuracy for catch-all missing data mechanisms with DFBETAS and leverage
by: Fares Qeadan, et al.
Published: (2025-12-01) -
Non-Intrusive Monitoring of Vital Signs in the Lower Limbs Using Optical Sensors
by: Joana Simões, et al.
Published: (2025-01-01) -
Sarah Hatchuel, Lost, fiction vitale, Paris, PUF, 2012, 145 pages
by: Bernard Genton
Published: (2013-05-01) -
wireless sensor network clustering based on label propagation algorithm
by: Monireh Sadat Younespour, et al.
Published: (2023-03-01)