Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Mun Hou Kit"'
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0291534 (2023)
BackgroundMigraine is a primary neurological headache. Treatment of this condition includes medications; however, these medications, when given for a longer duration, can have side effects. If migraine is left untreated or undiagnosed, it is reported
Externí odkaz:
https://doaj.org/article/13502c1251c74347896233322ffc6223
Autor:
Xiaoxi Kang, I Made Artha Agastya, Dini Oktarina Dwi Handayani, Mun Hou Kit, Abdul Wahab Bin Abdul Rahman
Publikováno v:
Data in Brief, Vol 39, Iss , Pp 107467- (2021)
The electroencephalogram (EEG) signal data were obtained from Yayasan Kita dan Buah Hati (YKBH), Jakarta, Indonesia and collected using a Brain Maker EEG machine with 19 channels. The sampling rate of the machine was 250 Hz. Fourteen participants (fi
Externí odkaz:
https://doaj.org/article/2aa485d7e67a4ed2ab9a2720161d9c41
Autor:
Ala Hag, Dini Handayani, Maryam Altalhi, Thulasyammal Pillai, Teddy Mantoro, Mun Hou Kit, Fares Al-Shargie
Publikováno v:
Sensors, Vol 21, Iss 24, p 8370 (2021)
In real-life applications, electroencephalogram (EEG) signals for mental stress recognition require a conventional wearable device. This, in turn, requires an efficient number of EEG channels and an optimal feature set. This study aims to identify an
Externí odkaz:
https://doaj.org/article/e4f2484cc7db47bdb05bc2a1a2be7e9e
Publikováno v:
Sensors, Vol 21, Iss 18, p 6300 (2021)
Exposure to mental stress for long period leads to serious accidents and health problems. To avoid negative consequences on health and safety, it is very important to detect mental stress at its early stages, i.e., when it is still limited to acute o
Externí odkaz:
https://doaj.org/article/28cb462d69fe44dab3918194b3ed7ed2
Publikováno v:
MATEC Web of Conferences, Vol 335, p 02005 (2021)
Machine health monitoring is the main focal point for now as many industries are evolving to industry 4.0. Industry 4.0 is the revolution in industrial that involve the Internet of Things (IoT) and artificial intelligence toward automation and data s
Externí odkaz:
https://doaj.org/article/65301544852047c2942868e2bd35d92e
Publikováno v:
MATEC Web of Conferences, Vol 335, p 02002 (2021)
Agricultural UAVs are growing and developing rapidly throughout the whole world due to its extensive advantages. Agricultural drones are transforming on the way farming is being carried out. They are very suitable and agile for working in a large are
Externí odkaz:
https://doaj.org/article/5568167cc0a4419c864e9c48e61dce09
Industrial Electrical Energy Consumption Forecasting by using Temporal Convolutional Neural Networks
Publikováno v:
MATEC Web of Conferences, Vol 335, p 02003 (2021)
In conjunction with the 4th Industrial Revolution, many industries are implementing systems to collect data on energy consumption to be able to make informed decision on scheduling processes and manufacturing in factories. Companies can now use this
Externí odkaz:
https://doaj.org/article/f8946eebed1e41ab9ce50eda71ddefeb
Publikováno v:
In Computers and Electronics in Agriculture November 2024 226
Publikováno v:
Journal of Computational and Theoretical Nanoscience. 17:1842-1846
Natural Language Processing (NLP) systems involve Natural Language Understanding (NLU), Dialogue Management (DM) and Natural Language Generation (NLG). The purpose of this work involves integrating learning with examples and rule-based processing to
Autor:
I Made Artha Agastya, Xiaoxi Kang, Dini Oktarina Dwi Handayani, Mun Hou Kit, Abdul Wahab Abdul Rahman
Publikováno v:
Data in Brief
Data in Brief, Vol 39, Iss, Pp 107467-(2021)
Data in Brief, Vol 39, Iss, Pp 107467-(2021)
The electroencephalogram (EEG) signal data were obtained from Yayasan Kita dan Buah Hati (YKBH), Jakarta, Indonesia and collected using a Brain Maker EEG machine with 19 channels. The sampling rate of the machine was 250 Hz. Fourteen participants (fi