Design optimization of piezoelectric energy harvesting cantilever for medical devices

Autor: Mariem Saida, Ghada Zaibi, Mounir Samet, Abdennaceur Kachouri

Publikováno v: Journal of Communications Software and Systems, Vol 15, Iss 4, Pp 301-310 (2019)

Energy harvesting from the human body is considered as an effective solution for powering biomedical systems. In particular, the piezoelectric energy recovery from mechanical vibrations of the human body represents the most promising solution. The ha

Externí odkaz: https://doaj.org/article/54207d820ffe400182684ac647243944

Design and Performance Analysis of Objective Functions for RPL Routing Protocol

Autor: Ibtissem Zaatouri, Nouha Alyaoui, Awatef Benfradj Guiloufi, Francoise Sailhan, Abdennaceur Kachouri

Publikováno v: Wireless Personal Communications. 124:2677-2697

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5f8ef4456f1c4ca06bc11f1ed34c0e0
https://doi.org/10.1007/s11277-022-09484-6

A new combined transient extraction method coupled with WO3 gas sensors for polluting gases classification

Autor: Abdennaceur Kachouri, Sami Gomri, Rabeb Faleh, Khalifa Aguir

Publikováno v: Sensor Review. 41:437-448

Purpose The purpose of this paper is to deal with the classification improvement of pollutant using WO3 gases sensors. To evaluate the discrimination capacity, some experiments were achieved using three gases: ozone, ethanol, acetone and a mixture of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b945585fbf1662a515936b52ee29074d
https://doi.org/10.1108/sr-02-2021-0066

Improved approaches for density-based outlier detection in wireless sensor networks

Autor: Salim El Khediri, Aymen Abid, Abdennaceur Kachouri

Publikováno v: Computing. 103:2275-2292

Density-based algorithms are important data clustering techniques used to find arbitrary shaped clusters and outliers. Recently, outlier detectors through density-based clustering are applied to supervise data streams including wireless sensor networ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::24160328e7e3413bf9a46edd2e92d22a
https://doi.org/10.1007/s00607-021-00939-5

Multi-Classification of epileptic High Frequency Oscillations using a Time-Frequency image-based CNN

Autor: Fatma Krikid, Ahmad Karfoul, Abdennaceur Kachouri, Regine Le Bouquin Jeannes

Publikováno v: 19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022
19th IEEE International Multi-Conference on Systems, Signals and Devices, SSD 2022, May 2022, Sétif, Algeria. pp.663-667, ⟨10.1109/SSD54932.2022.9955931⟩

International audience; High Frequency Oscillations (HFOs) in intracranial ElectroEncephaloGraphic (iEEG) signals are considered as promising biomarkers for localizing the epileptogenic zone. Visual marking of these particular activities is the typic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::126b6b6d3bc8f34fb7f8ee868ab86f32
https://hal.science/hal-03931079