Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Shang-Chih Ma"'
Publikováno v:
Sensors, Vol 24, Iss 20, p 6768 (2024)
This study proposed an improved full-scale aggregated MobileUNet (FA-MobileUNet) model to achieve more complete detection results of oil spill areas using synthetic aperture radar (SAR) images. The convolutional block attention module (CBAM) in the F
Externí odkaz:
https://doaj.org/article/28035c8d22e346aba18c7402cd03a223
Publikováno v:
IEEE Access, Vol 8, Pp 106910-106923 (2020)
Recent studies have shown that wireless mesh networks (WMNs) can be cheap, reliable, and efficient solutions for Internet of Things (IoTs) applications and connected devices. However, the increase in the size of the WMNs could lead to a degradation i
Externí odkaz:
https://doaj.org/article/bf221fd5960d42cd84d23f14ab855fc2
Autor:
Yang-Lang Chang, Tan-Hsu Tan, Tsung-Hau Chen, Joon Huang Chuah, Lena Chang, Meng-Che Wu, Narendra Babu Tatini, Shang-Chih Ma, Mohammad Alkhaleefah
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1929 (2022)
Agriculture is an important regional economic industry in Asian regions. Ensuring food security and stabilizing the food supply are a priority. In response to the frequent occurrence of natural disasters caused by global warming in recent years, the
Externí odkaz:
https://doaj.org/article/1de3f8eaae484f1eacbb038f2c4ee76c
Autor:
Shang-Chih Ma, Mohammad Alkhaleefah, Yang-Lang Chang, Joon Huang Chuah, Wen-Yen Chang, Chiung-Shen Ku, Meng-Che Wu, Lena Chang
Publikováno v:
Sensors, Vol 22, Iss 7, p 2695 (2022)
The Internet of Things (IoT) technology has revolutionized the healthcare industry by enabling a new paradigm for healthcare delivery. This paradigm is known as the Internet of Medical Things (IoMT). IoMT devices are typically connected via a wide ra
Externí odkaz:
https://doaj.org/article/91a39988c70f4b69b55b74642aa0497f
Autor:
Mohammad Alkhaleefah, Shang-Chih Ma, Yang-Lang Chang, Bormin Huang, Praveen Kumar Chittem, Vishnu Priya Achhannagari
Publikováno v:
Applied Sciences, Vol 10, Iss 11, p 3999 (2020)
Differentiation between benign and malignant breast cancer cases in X-ray images can be difficult due to their similar features. In recent studies, the transfer learning technique has been used to classify benign and malignant breast cancer by fine-t
Externí odkaz:
https://doaj.org/article/8c6c549ad7db4dc085e8bce6a786a859
Autor:
Mohammad Alkhaleefah, Tan-Hsu Tan, Chuan-Hsun Chang, Tzu-Chuan Wang, Shang-Chih Ma, Lena Chang, Yang-Lang Chang
Publikováno v:
Cancers. 15:2237
In the original publication [...]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7292c6bb3671814177e34555d818ffd5
https://doi.org/10.3390/cancers15082237
https://doi.org/10.3390/cancers15082237
Publikováno v:
IEEE Access, Vol 8, Pp 106910-106923 (2020)
Recent studies have shown that wireless mesh networks (WMNs) can be cheap, reliable, and efficient solutions for Internet of Things (IoTs) applications and connected devices. However, the increase in the size of the WMNs could lead to a degradation i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3721986b031cd58f4d6fc5c4d20fa6fa
https://ieeexplore.ieee.org/document/9110606/
https://ieeexplore.ieee.org/document/9110606/
Autor:
Chiang-An Hsu, Chin-Pin Ko, Mohammad Alkhaleefah, Yang-Lang Chang, Lena Chang, Tan-Hsu Tan, Shang-Chih Ma, Kuan Wang, Chiung-Shen Ku
Publikováno v:
IGARSS
Synthetic Aperture Radar (SAR) imagery has been widely used in many maritime applications due to its high resolution, wide coverage, and real-time monitoring characteristics. Nevertheless, the size of SAR images is significantly large for real-time a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::521810df80807d8fa9f81c12eb6d40a3
https://doi.org/10.1109/igarss47720.2021.9553632
https://doi.org/10.1109/igarss47720.2021.9553632
Autor:
Vishnu Priya Achhannagari, Yang-Lang Chang, Mohammad Alkhaleefah, Tan-Hsu Tan, Shang-Chih Ma, Min-Jui Tsai
Publikováno v:
2021 the 5th International Conference on Graphics and Signal Processing.
Computed tomography (CT) images have been widely used by radiologists and doctors to diagnose patients with liver cancer. However, liver lesion detection from CT images can be difficult due to the similar characteristics of the lesion region and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e54f36d87bc56cbe391d64e5caa7f62
https://doi.org/10.1145/3474906.3474914
https://doi.org/10.1145/3474906.3474914