English  |  正體中文  |  简体中文  |  Total items :0  
Visitors :  50685958    Online Users :  247
Project Commissioned by the Ministry of Education
Project Executed by National Taiwan University Library
 
臺灣學術機構典藏系統 (Taiwan Academic Institutional Repository, TAIR)
About TAIR

Browse By

News

Copyright

Related Links

"kwon young"

Return to Browse by Author
Sorting by Title Sort by Date

Showing items 1-6 of 6  (1 Page(s) Totally)
1 
View [10|25|50] records per page

Institution Date Title Author
國立成功大學 2024-04-01 Recent advances in liquid fuel production from plastic waste via pyrolysis: Emphasis on polyolefins and polystyrene Valizadeh;Soheil;Valizadeh;Behzad;Seo;Won, Myung;Choi;Jun, Yong;Lee;Jechan;Chen;Wei-Hsin;Lin;Andrew, Kun-Yi;Park;-Kwon, Young
國立成功大學 2024-03-05 A comprehensive study of artificial neural network for sensitivity analysis and hazardous elements sorption predictions via bone char for wastewater treatment Biswas;Pratim, Partha;Chen;Wei-Hsin;Lam;Shiung, Su;Park;-Kwon, Young;Chang;Jo-Shu;Hoang;Tuan, Anh
國立成功大學 2023-10-20 An overview of commercialization and marketization of thermoelectric generators for low-temperature waste heat recovery Lee;Kuan-Ting;Lee;Da-Sheng;Chen;Wei-Hsin;Lin;Yu-Li;Luo;Ding;Park;-Kwon, Young;Bandala;Argel
國立成功大學 2023-08 Oxidative torrefaction of microalgae Chlorella sorokiniana: Process optimization by central composite design Felix;Charles, B.;Chen;Wei-Hsin;Chang;Jo-Shu;Park;-Kwon, Young;Saeidi;Samrand;Kumar;Gopalakrishnan
國立成功大學 2023-05-1 Spent coffee ground torrefaction for waste remediation and valorization Lee;Kuan-Ting;Shih;Yi-Tse;Rajendran;Saravanan;Park;-Kwon, Young;Chen;Wei-Hsin
國立成功大學 2022-10-15 Forecast of glucose production from biomass wet torrefaction using statistical approach along with multivariate adaptive regression splines, neural network and decision tree Chen;Wei-Hsin;Lo;Hsiu-Ju;Aniza;Ria;Lin;Bo-Jhih;Park;-Kwon, Young;Kwon;Eilhann, Eilhann E.;Sheen;Herng-Kuang;Grafilo;Laumar, Alan Dave R.

Showing items 1-6 of 6  (1 Page(s) Totally)
1 
View [10|25|50] records per page