Zobrazeno 1 - 10
of 442
pro vyhledávání: '"Yunyoung Nam"'
Autor:
Noor Fatima, Moeenuddin Tariq, Zeshan Iqbal, Misbah Shahid, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Muhammad Attique Khan, Seifedine Kadry, Yunyoung Nam
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 306-313 (2024)
Wireless Body Area Networks (WBANs) play a crucial role in healthcare and various other domains by enabling continuous monitoring of vital signs and activities. However, challenges such as low-powered sensors, unstable links, and routing issues hinde
Externí odkaz:
https://doaj.org/article/d0f106290ae8448488536efe060d478c
Autor:
Fatima Rauf, Muhammad Attique Khan, Hussain M. Albarakati, Kiran Jabeen, Shrooq Alsenan, Ameer Hamza, Sokea Teng, Yunyoung Nam
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Ultrasound imaging is frequently employed to aid with fetal development. It benefits from being real-time, inexpensive, non-intrusive, and simple. Artificial intelligence is becoming increasingly significant in medical imaging and can assist in resol
Externí odkaz:
https://doaj.org/article/d15d59f9b3d24714a1ec1fd35458279f
Autor:
Syeda Aimal Fatima Naqvi, Muhammad Attique Khan, Ameer Hamza, Shrooq Alsenan, Meshal Alharbi, Sokea Teng, Yunyoung Nam
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Fruits and vegetables are among the most nutrient-dense cash crops worldwide. Diagnosing diseases in fruits and vegetables is a key challenge in maintaining agricultural products. Due to the similarity in disease colour, texture, and shape, it is dif
Externí odkaz:
https://doaj.org/article/b15be67828674d0ab5a4dbd2bf44f7f5
Autor:
Nourhan A. Amer, Samaa M. Shohieb, Waleed Eladrosy, Shilong Liu, Yunyoung Nam, Samir Abdelrazek
Publikováno v:
Digital Health, Vol 10 (2024)
Background Depression and anxiety are prevalent mental health issues addressed by online cognitive behavioral therapy (CBT) via mobile applications. This study introduces Sokoon, a gamified CBT app tailored for Arabic individuals, focusing on allevia
Externí odkaz:
https://doaj.org/article/8055175b769442ea9ad1351958536cf7
Autor:
Awais Khan, Chomyong Kim, Senghour Mey, Kwang Seock Kim, Euyhyun Chung, Jiwon Lyu, Hyo-Wook Gil, Seob Jeon, Yunyoung Nam
Publikováno v:
IEEE Access, Vol 12, Pp 169628-169642 (2024)
Accurate sleep posture monitoring plays a pivotal role in the diagnosis and treatment of a spectrum of sleep-related disorders, such as sleep apnea, restless leg syndrome, and rapid eye movement sleep behavior disorder. These disorders can significan
Externí odkaz:
https://doaj.org/article/493ae16317564d8288e2fd1c13789282
Autor:
Fatima Rauf, Muhammad Attique Khan, Muhammad Kashif Bhatti, Ameer Hamza, Aliya Aleryani, M. Turki-Hadj Alouane, Dina Abdulaziz AlHammadi, Yunyoung Nam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18622-18634 (2024)
The remote sensing (RS) image classification task has been studied widely in the RS and geoscience community. The important applications of RS are landslides, earthquakes, land-use, and land cover classification. Landslides and earthquakes are some o
Externí odkaz:
https://doaj.org/article/cbdef14ad61842c882aab6f4ffad3c21
Autor:
Hussain Mubarak Albarakati, Shams ur Rehman, Muhammad Attique Khan, Ameer Hamza, Junaid Aftab, Areej Alasiry, Mehrez Marzougui, Michele Nappi, Yunyoung Nam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 14421-14436 (2024)
Land-use and land-cover (LULC) classification is an active research challenge in the area of remotely sensed satellite images due to critical applications, such as resource management and agriculture. Deep learning has recently shown a significant im
Externí odkaz:
https://doaj.org/article/347421aedeca45b09c3712842c014e4a
Autor:
Saddaf Rubab, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Oumaima Saidani, Amal Alshardan, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13135-13148 (2024)
Convolutional neural networks (CNNs), in particular, demonstrate the remarkable power of feature learning in remote sensing for land use and cover classification, as demonstrated by recent deep learning techniques driven by vast amounts of data. In t
Externí odkaz:
https://doaj.org/article/511e84e7561c43f9ae93821a62f33d7f
Autor:
Sokea Teng, Jung-Yeon Kim, Seob Jeon, Hyo-Wook Gil, Jiwon Lyu, Euy Hyun Chung, Kwang Seock Kim, Yunyoung Nam
Publikováno v:
Sensors, Vol 24, Iss 19, p 6432 (2024)
Falls represent a significant risk factor, necessitating accurate classification methods. This study aims to identify the optimal placement of wearable sensors—specifically accelerometers, gyroscopes, and magnetometers—for effective fall-directio
Externí odkaz:
https://doaj.org/article/6b038c2cd9e24e3d943a0adbd195cdcb
Autor:
Javaria Amin, Irum Shazadi, Muhammad Sharif, Mussarat Yasmin, Nouf Abdullah Almujally, Yunyoung Nam
Publikováno v:
Heliyon, Vol 10, Iss 10, Pp e30954- (2024)
Complications in diabetes lead to diabetic retinopathy (DR) hence affecting the vision. Computerized methods performed a significant role in DR detection at the initial phase to cure vision loss. Therefore, a method is proposed in this study that con
Externí odkaz:
https://doaj.org/article/2becce5d6ff74db48a17f34cf2b3c0b5