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Jih-Ching Chiu, Guan-Yi Lee, Chih-Yang Hsieh and Qing-You Lin
In computer vision and image processing, the shift from traditional cameras to emerging sensing tools, such as gesture recognition and object detection, addresses privacy concerns. This study navigates the Integrated Sensing and Communication (ISAC) era,...
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Jui-Chuan Liu, Heng-Xiao Chi, Ching-Chun Chang and Chin-Chen Chang
Information has been uploaded and downloaded through the Internet, day in and day out, ever since we immersed ourselves in the Internet. Data security has become an area demanding high attention, and one of the most efficient techniques for protecting da...
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Ching-Lung Fan
The emergence of deep learning-based classification methods has led to considerable advancements and remarkable performance in image recognition. This study introduces the Multiscale Feature Convolutional Neural Network (MSFCNN) for the extraction of com...
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Kuo-Yang Wu, Tzu-Ching Tai, Bo-Hong Li and Cheng-Chien Kuo
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Aquib Raza, Thien-Luan Phan, Hung-Chung Li, Nguyen Van Hieu, Tran Trung Nghia and Congo Tak Shing Ching
Knee osteoarthritis (KOA) is a leading cause of disability, particularly affecting older adults due to the deterioration of articular cartilage within the knee joint. This condition is characterized by pain, stiffness, and impaired movement, posing a sig...
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Tzu-Ching Tai, Chen-Cheng Lee and Cheng-Chien Kuo
This paper proposes a new hybrid algorithm for grey wolf optimization (GWO) integrated with a robust learning mechanism to solve the large-scale economic load dispatch (ELD) problem. The robust learning grey wolf optimization (RLGWO) algorithm imitates t...
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Chien-Ching Chiu, Wei Chien, Kai-Xu Yu, Po-Hsiang Chen and Eng Hock Lim
Electromagnetic imaging. Featured applications include military measurements, medical imaging, industrial applications, underground gas pipe and electrical high-voltage cable detection, etc.
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Yu-Ting Tsai and Ching-Piao Tsai
Deep learning techniques have revolutionized the field of artificial intelligence by enabling accurate predictions of complex natural scenarios. This paper proposes a novel convolutional neural network (CNN) model that involves deep learning technologies...
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Cherng-Jer Chueh, Chun-Hung Chien, Ching Lin, Ting-Yan Lin and Mao-Hsiung Chiang
This study aims to develop dynamic co-simulation and control for analyzing the IEA 15 MW semi-submersible floating wind turbine under Taiwan offshore-wind-farm conditions of wind and wave. The IEA 15 MW wind turbine is mounted on a UMaine VolturnUS-S ref...
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Ching-Cheng Shen and Dan Wang
Maintaining the sustainable development of fascinating resources in Taiwan?s Hualien and Taitung (Huatung) regions is the basis of organic agritourism. Loyalty not only represents tourists? commitment to return and recommend but also serves as a goal for...
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