Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Baha A. Alsaify"'
Publikováno v:
IEEE Access, Vol 12, Pp 113087-113098 (2024)
This study proposes a passive human identification system based on wireless signals. The proposed system comprises three phases; preprocessing and standardization of recorded channel state information (CSI) signals and the extraction of relevant data
Externí odkaz:
https://doaj.org/article/cb1fc2e17d70444cb4cb2ff3d1be083d
Publikováno v:
IEEE Access, Vol 8, Pp 197695-197710 (2020)
Channel state information (CSI)-based human activity recognition plays an essential role in various application domains, such as security, healthcare, and Internet of Things. Most existing CSI-based activity recognition approaches rely on manually de
Externí odkaz:
https://doaj.org/article/7b3974a498df42c78c517bd2575fac20
Autor:
Mohammad I. Daoud, Aamer Al-Ali, Rami Alazrai, Mahasen S. Al-Najar, Baha A. Alsaify, Mostafa Z. Ali, Sahel Alouneh
Publikováno v:
Sensors, Vol 22, Iss 18, p 6721 (2022)
Computer-aided diagnosis (CAD) systems can be used to process breast ultrasound (BUS) images with the goal of enhancing the capability of diagnosing breast cancer. Many CAD systems operate by analyzing the region-of-interest (ROI) that contains the t
Externí odkaz:
https://doaj.org/article/f504c65fac4842fcaa203e39b29f8eea
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 930 (2022)
Passive human activity recognition (HAR) systems, in which no sensors are attached to the subject, provide great potentials compared to conventional systems. One of the recently used techniques showing tremendous potential is channel state informatio
Externí odkaz:
https://doaj.org/article/21dcf3b6a1264bef87f96e08d7fed91a
Publikováno v:
Data in Brief, Vol 42, Iss , Pp 108070- (2022)
This paper introduces a new English speech dataset suitable for training and evaluating speaker recognition systems. Samples were obtained from non-native English speakers from the Arab region over the course of two months. The dataset was divided in
Externí odkaz:
https://doaj.org/article/44043d7c56534667962df80f284d3a3d
Publikováno v:
Digital Communications and Networks. 8:804-813
Radio-Frequency IDentification (RFID) technology is an essential enabler of a multitude of intelligent applications. The robust authentication of RFID system components is critical in providing trustworthy data delivery from/to tags. In this paper, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c886b52719e10baa903d91345153ed0
https://doi.org/10.1016/j.dcan.2021.09.008
https://doi.org/10.1016/j.dcan.2021.09.008
Autor:
Mohammad I. Daoud, Wajdi Elmuhtadi, Mohammad Faidi, Yara Alrahahleh, Samir Abdel-Rahman, Aamer Al-Ali, Baha A. Alsaify, Rami Alazrai
Publikováno v:
2022 13th International Conference on Information and Communication Systems (ICICS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0016a6d3b608bb9cca0008a45dca69f
https://doi.org/10.1109/icics55353.2022.9811207
https://doi.org/10.1109/icics55353.2022.9811207
Autor:
Baha A. Alsaify, Hadeel S. Abu Arja, Baskal Y. Maayah, Masa M. Al-Taweel, Rami Alazrai, Mohammad I. Daoud
Publikováno v:
2022 13th International Conference on Information and Communication Systems (ICICS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91a8774d66494aaeaaa4912d026c70ab
https://doi.org/10.1109/icics55353.2022.9811154
https://doi.org/10.1109/icics55353.2022.9811154
Publikováno v:
IEEE Access, Vol 8, Pp 197695-197710 (2020)
Channel state information (CSI)-based human activity recognition plays an essential role in various application domains, such as security, healthcare, and Internet of Things. Most existing CSI-based activity recognition approaches rely on manually de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::330c44c67f06320e29df7827b8e6267b
https://ieeexplore.ieee.org/document/9243938/
https://ieeexplore.ieee.org/document/9243938/
Publikováno v:
Data in brief. 42
This paper introduces a new English speech dataset suitable for training and evaluating speaker recognition systems. Samples were obtained from non-native English speakers from the Arab region over the course of two months. The dataset was divided in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d032a5b3b6571e9888fad52eecd31cc
https://pubmed.ncbi.nlm.nih.gov/35356317
https://pubmed.ncbi.nlm.nih.gov/35356317