Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shao-Lun Lee"'
Publikováno v:
Applied Physics Express, Vol 17, Iss 7, p 071001 (2024)
In this study, AlGaN/GaN HEMTs with Au-free Ti/Al/Ni/Ti ohmic contacts were fabricated. The device presents a contact resistance ( R _c ) of 0.64 Ω·mm and high linearity characteristics. The two-tone measurement at 28 GHz shows that the 2 × 50 μ
Externí odkaz:
https://doaj.org/article/6e7194366c79490fb40abefb7ca7e291
Autor:
Shao-Lun Lee, 李紹綸
92
The main task of the Mining Sequential Patterns is to analyze the transaction database of a company in order to find out the priorities of the items that most customers take when consuming. So we can use the rule we found to analyze the model
The main task of the Mining Sequential Patterns is to analyze the transaction database of a company in order to find out the priorities of the items that most customers take when consuming. So we can use the rule we found to analyze the model
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/96456747877521117248
Autor:
Shao-Lun Lee, 李紹綸
87
Data mining is very important for knowledge acquisition. By data mining, we can filter out insignificant information and hidden messages from the massive data, and therefore see the long-term trend. According to a study by Meta Group, over 70
Data mining is very important for knowledge acquisition. By data mining, we can filter out insignificant information and hidden messages from the massive data, and therefore see the long-term trend. According to a study by Meta Group, over 70
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/42047711198378586530
Autor:
Shao-Lun Lee
Publikováno v:
Expert Systems with Applications. 37:3685-3694
Collaborative filtering is an extensively adopted approach for commodity recommendation. This investigation presents a collaborative filtering method to support commodity recommendation of retail business according to customer preferences. Moreover,
Autor:
Shao-Lun Lee
Publikováno v:
Expert Systems with Applications. 35:1620-1627
The bin packing problems play an important role in plans of production and saving cost in factories. This paper is to develop a set of intellectual automatic typesetting system (IATS) for luggage factories through bin packing algorithm and genetic al
Publikováno v:
International Journal of Intelligent Systems. 20:359-373
Publikováno v:
Expert Systems with Applications. 25:293-302
Discovering sequential patterns is one of the most important task in data mining. In this paper we propose an efficient algorithm, called Goal-oriented sequential pattern. It can provide enterprises warning signs soon before they are losing valuable
Autor:
Wei-Chiang Hong, Shao-Lun Lee
Publikováno v:
IEEE Congress on Evolutionary Computation
The bin packing problems play an important role in plans of production and saving cost in factories. This paper is to develop a set of intellectual automatic typesetting system (IATS) for luggage factories through bin packing algorithm and genetic al
Composite of support vector regression and evolutionary algorithms in car-rental revenue forecasting
Publikováno v:
IEEE Congress on Evolutionary Computation
In the car-rental industry, it is generally assumed that a 1% increase in price contributes an 8% profit increment. Therefore, pricing is of priority concern in revenue management. Accurately forecasting monthly revenue per unit (RPU) (per car) has r
Publikováno v:
IJCNN
Accurately electric load forecasting has become the most important management goal, however, electric load often presents nonlinear data patterns. Therefore, a rigid forecasting approach with strong general nonlinear mapping capabilities is essential