Zobrazeno 1 - 10
of 345
pro vyhledávání: '"Wei-chang Yeh"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-29 (2024)
Abstract Optimization problems are common across various fields, and one effective solution is the swarm intelligence algorithm.It is essential for the algorithm to deliver high-quality solutions for problems with varying characteristics. However, mo
Externí odkaz:
https://doaj.org/article/5679fe691ccd456eb05637634c31805f
Publikováno v:
Bioengineering, Vol 11, Iss 10, p 981 (2024)
Artificial intelligence has garnered significant attention in recent years as a rapidly advancing field of computer technology. With the continual advancement of computer hardware, deep learning has made breakthrough developments within the realm of
Externí odkaz:
https://doaj.org/article/70a84bd892e149619b89fbe5745efb25
Autor:
Wei-Chang Yeh, Majid Forghani-elahabad
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 9, p 96 (2024)
Data structures such as sets, lists, and arrays are fundamental in mathematics and computer science, playing a crucial role in numerous real-life applications. These structures represent a variety of entities, including solutions, conditions, and obj
Externí odkaz:
https://doaj.org/article/79e4fb2c2f2547cfa1ad1454ead1f389
Autor:
Wei-Chang Yeh, Chen-Yi Kuo, Jia-Ming Chen, Tien-Hsiung Ku, Da-Jeng Yao, Ya-Chi Ho, Ruei-Yu Lin
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 561 (2024)
Traditional Chinese medicine (TCM) has relied on pulse diagnosis as a cornerstone of healthcare assessment for thousands of years. Despite its long history and widespread use, TCM pulse diagnosis has faced challenges in terms of diagnostic accuracy a
Externí odkaz:
https://doaj.org/article/bcb6d57d38d94377983ca605271262fb
Publikováno v:
International Journal of Industrial Engineering Computations, Vol 14, Iss 4, Pp 723-748 (2023)
In the face of burgeoning data volumes, latency issues present a formidable challenge to cloud computing. This problem has been strategically tackled through the advent of fog computing, shifting computations from central cloud data centers to local
Externí odkaz:
https://doaj.org/article/f97d86ecb7214f38a325a9fb91983016
Publikováno v:
Signals, Vol 3, Iss 4, Pp 895-910 (2022)
The construction of intelligent logistics by intelligent wireless sensing is a modern trend. Hence, this study uses the multistate flow network (MFN) to explore the actual environment of logistics delivery and to consider the different types of trans
Externí odkaz:
https://doaj.org/article/080304f3dee44e73bbdff48715d61c51
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 889-905 (2022)
Household-sized low-voltage (LV) DC microgrids (MGs) are mostly interconnected to a platform that is called a local energy community (LEC). Each household-sized DC MG commonly consists of battery energy storage systems (BESSs), solar energy generatin
Externí odkaz:
https://doaj.org/article/924a766afa1b41388764f4704dba56ec
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 845-861 (2022)
The bidirectional power-converter (BPC) reliability of battery energy storage systems (BATT-ESSs) in a local off-grid energy community (LOEC) is susceptible to dynamic and fault scenarios. As a great advantage of the BPC, it is widely used for balanc
Externí odkaz:
https://doaj.org/article/5c70e5e6914d42b688f8434f30241895
Publikováno v:
Mathematics, Vol 12, Iss 5, p 759 (2024)
Lightweight and adaptive adjustment are key research directions for deep neural networks (DNNs). In coal industry mining, frequent changes in raw coal sources and production batches can cause uneven distribution of appearance features, leading to con
Externí odkaz:
https://doaj.org/article/53b1902213be4abcb65a7a70a6d997cc
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3969 (2023)
Accurate grasping state detection is critical to the dexterous operation of robots. Robots must use multiple modalities to perceive external information, similar to humans. The direct fusion method of visual and tactile sensing may not provide effect
Externí odkaz:
https://doaj.org/article/596c2d1ec71a4848a0a74c8caf47ee6d