Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Reza Amini Gougeh"'
Autor:
Reza Amini Gougeh, Zeljko Zilic
Publikováno v:
Sensors, Vol 24, Iss 18, p 5939 (2024)
The Internet of Things (IoT) base has grown to over 20 billion devices currently operational worldwide. As they greatly extend the applicability and use of biosensors, IoT developments are transformative. Recent studies show that IoT, coupled with ad
Externí odkaz:
https://doaj.org/article/9fed7e289c004a39898ceb2ac1a18c8b
Autor:
Reza Amini Gougeh, Tiago H. Falk
Publikováno v:
Frontiers in Neuroergonomics, Vol 4 (2023)
Brain-computer interfaces (BCI) have been developed to allow users to communicate with the external world by translating brain activity into control signals. Motor imagery (MI) has been a popular paradigm in BCI control where the user imagines moveme
Externí odkaz:
https://doaj.org/article/e9830d3514194174b8ec88fc4812e909
Autor:
Reza Amini Gougeh, Tiago H. Falk
Publikováno v:
Frontiers in Virtual Reality, Vol 3 (2022)
Virtual reality (VR)-mediated rehabilitation is emerging as a useful tool for stroke survivors to recover motor function. Recent studies are showing that VR coupled with physiological computing (i.e., real-time measurement and analysis of different b
Externí odkaz:
https://doaj.org/article/284ae80ffbba48aba1b00d5cc15cf13b
Autor:
Reza Amini Gougeh, Belmir J. De Jesus, Marilia K. S. Lopes, Marc-Antoine Moinnereau, Walter Schubert, Tiago H. Falk
Publikováno v:
2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f168c40e3e66b2bda4539babbc49c958
https://doi.org/10.1109/metroxraine54828.2022.9967498
https://doi.org/10.1109/metroxraine54828.2022.9967498
Autor:
Reza Amini Gougeh, Tiago H. Falk
Publikováno v:
2022 14th International Conference on Quality of Multimedia Experience (QoMEX).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f523077d0f44aa840d9708824b0fc720
https://doi.org/10.1109/qomex55416.2022.9900907
https://doi.org/10.1109/qomex55416.2022.9900907
Autor:
Reza Amini Gougeh
Considering the global crisis of Coronavirus infection (COVID-19), the essence of utilizing novel approaches to achieve quick and accurate diagnosing methods is required. Deep Neural Networks (DNN) showed outstanding capabilities in classifying vario
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::105d77ca3a17ce23fe3b67d08af349d1
https://doi.org/10.21203/rs.3.rs-763355/v1
https://doi.org/10.21203/rs.3.rs-763355/v1
Autor:
Reza Amini Gougeh
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811552809
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af509fd76093ec3582ee818a962b332c
https://doi.org/10.1007/978-981-15-5281-6
https://doi.org/10.1007/978-981-15-5281-6
Autor:
Reza Amini Gougeh
An outbreak of SARS-CoV-2 shocked healthcare systems around the world. It began in December 2019 in Wuhan, China, and spread out in over 120 countries in less than three months. Imaging technologies helped in COVID-19 fast and reliable diagnosis. CT-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf71ec5117ebb02a73ebdad6586415b1
https://doi.org/10.21203/rs.3.rs-64472/v1
https://doi.org/10.21203/rs.3.rs-64472/v1
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811552809
Each year, vehicle safety is increasing. Recently brain signals were used to assist drivers. Attempting to do movement produces electrical signals in specific regions of the brain. We developed a system based on motor intention to assist drivers and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::936ea6cfe1bc36345f56380460072732
https://doi.org/10.1007/978-981-15-5281-6_43
https://doi.org/10.1007/978-981-15-5281-6_43
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811552809
One of the most common image artifacts is blurring. Blind methods have been developed to restore a clear image from blurred input. In this paper, we introduce a new method which optimizes previous works and adapted with medical images. Optimized non-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70815cafc59fca3dc3e77013a3369c70
https://doi.org/10.1007/978-981-15-5281-6_38
https://doi.org/10.1007/978-981-15-5281-6_38