Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Ko-Wei Huang"'
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-16 (2023)
Abstract Metaheuristic algorithms are novel optimization algorithms often inspired by nature. In recent years, scholars have proposed various metaheuristic algorithms, such as the genetic algorithm (GA), artificial bee colony, particle swarm optimiza
Externí odkaz:
https://doaj.org/article/34abdf73323c40d39fa91162571cc899
Autor:
Chung-Hsing Chen, Ko-Wei Huang
Publikováno v:
International Journal of Interactive Multimedia and Artificial Intelligence, Vol 8, Iss 2, Pp 98-107 (2023)
At present, check transactions are one of the most common forms of money transfer in the market. The information for check exchange is printed using magnetic ink character recognition (MICR), widely used in the banking industry, primarily for process
Externí odkaz:
https://doaj.org/article/e4019dcec624499f8785478ce649ade5
Publikováno v:
Bioengineering, Vol 10, Iss 8, p 970 (2023)
Kidney–ureter–bladder (KUB) imaging is used as a frontline investigation for patients with suspected renal stones. In this study, we designed a computer-aided diagnostic system for KUB imaging to assist clinicians in accurately diagnosing urinary
Externí odkaz:
https://doaj.org/article/2a351c83f984491dab024b2d14dfd10e
Publikováno v:
Bioengineering, Vol 10, Iss 6, p 722 (2023)
In recent years, deep learning technology for clinical diagnosis has progressed considerably, and the value of medical imaging continues to increase. In the past, clinicians evaluated medical images according to their individual expertise. In contras
Externí odkaz:
https://doaj.org/article/7fc2091c099741a8955f0bd898dfa12c
Publikováno v:
Applied Sciences, Vol 13, Iss 3, p 1397 (2023)
Anomaly detection is an important research topic in the field of artificial intelligence and visual scene understanding. The most significant challenge in real-world anomaly detection problems is the high imbalance of available data (i.e., non-anomal
Externí odkaz:
https://doaj.org/article/98152a3b5e424d459faae9d8fb0d0b3c
Publikováno v:
Bioengineering, Vol 9, Iss 12, p 811 (2022)
Kidney–ureter–bladder (KUB) imaging is a radiological examination with a low cost, low radiation, and convenience. Although emergency room clinicians can arrange KUB images easily as a first-line examination for patients with suspicious urolithia
Externí odkaz:
https://doaj.org/article/1659e4cfb9d3484e9e3a73f601a9cd59
Publikováno v:
IEEE Access, Vol 7, Pp 80950-80968 (2019)
Data clustering is a well-known data analysis technique for organizing unlabeled datapoints into clusters on the basis of similarity measures. The real-world applications of data clustering include bioinformatics, vector quantization, data mining, ge
Externí odkaz:
https://doaj.org/article/b0000fa566ce4e30a640935eed1a0170
Publikováno v:
Applied Sciences, Vol 11, Iss 23, p 11185 (2021)
Image recognition has been applied to many fields, but it is relatively rarely applied to medical images. Recent significant deep learning progress for image recognition has raised strong research interest in medical image recognition. First of all,
Externí odkaz:
https://doaj.org/article/2fecf91209fd46b282c9e5dce2b63558
Autor:
Ko-Wei Huang, Ze-Xue Wu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 12, Iss 1 (2018)
Particle swarm optimization (PSO) is the most well known of the swarm-based intelligence algorithms and is inspired by the social behavior of bird flocking. However, the PSO algorithm converges prematurely, which rapidly decreases the population dive
Externí odkaz:
https://doaj.org/article/73e948fe207f42cfa865980d5139e081
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
Internet of things refers to billions of interconnected devices that are generally equipped with sensors and communication devices. How to make Internet of things become a smart terminal is an important topic. By connecting cloud services, the device
Externí odkaz:
https://doaj.org/article/c9bb88ca45734f77bb15cfe7001dedc5