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Showing items 25801-25825 of 96937. (3878 Page(s) Totally) << < 2576 2577 2578 2579 2580 2581 2582 2583 2584 2585 > >> View [10|25|50] records per page

Date	Title	Authors
2017-03	Predicting emerging care-need with simple functional indicators--findings from a national cohort study in Taiwan	Wei-Chung Hsu; Li-Ching Chen; Jiun-Yi Wang
2021-07-05	Predicting eWOM’s influence on purchase intention based on helpfulness, credibility, information quality and professionalism	Yen-Liang Chen; Chia-Ling Chang; An-Qiao Sung
2009-12	Predicting Information-Seeking Intention in Academic Digital Libraries	Chang, Chiao-chen; Lin, Chia-yen; Chen,Yu-chin; Chin, Yang-chieh
2016-05-17	Predicting job offer acceptance of professionals in Taiwan: The case of the technology industry	Yuan-Hui Tsai; Chieh-Peng Lin; Ya-Chu Hsu; Chu-Mei Liu; Pi-Hsia Yen
2023-09-16	Predicting Long-Term Care Service Demands for Cancer Patients: A Machine Learning Approach	Chen, Ying-erh
2014-01-29	Predicting multiallelic HLA markers for Han Chinese population using unphased and flanking single nucleotide polymorphisms	Hsieh, Ai-Ru; SW, Chang; PL, Chen; CC, Chu; CL, Hsiao; WS, Yang; CC, Chang; JY, Wu; YT, Chen; TC, Chang; SJ, Fann Cathy
2023-09-15	Predicting Multiple Numerical Solutions to the Duffing Equation Using Machine Learning	Wang, Yi-ren
1998-01-01	Predicting Natural-Convection- Dominated Phase Change Problems by Control Volume UnstructuredTriangular Grid,Application to the Melting of Pure Metal	Hong, Zuu-chang; Liou, Jenq-hwu
2008-01	Predicting Peak Pressures from Computed CFD Data and Artificial Neural Networks Algorithm	Chang, Cheng‐Hsin; Shang, Neng‐Chou; Wu, Cho‐Sen; Chen, Chern‐Hwa; Chang, Cheng‐hsin
2004-07	Predicting Peak Pressures from Computed CFD Data and Artificial Neural Networks Algorithm.	張正興
2019-11-18	Predicting Performance of Social Media Postings Using Data Mining Methods	Li, Szu Chuang; Chen, Yi-Wen; Huang, Yennun
2019-11-19	Predicting Performance of Social Media Postings using Data Mining Methods	Li, Szu Chuang; Chen, Yi-Wen; Huang, Yennun
2024-07-17	Predicting pump inspection cycles for oil wells based on stacking ensemble models	Tsai, Tzong-ru
2021-06-29	Predicting Rapid Intensification Events Following Tropical Cyclone Formation in the Western North Pacific Based on ECMWF Ensemble Warm Core Evolutions	Russell L. Elsberry; Hsiao-Chung Tsai; Wei-Chia Chin; Timothy P. Marchok
2021-04-12	Predicting Rapid Intensification Events Following Tropical Cyclone Formation in the Western North Pacific Based on ECMWF Ensemble Warm Core Evolutions	Hsiao-Chung Tsai, Russell L. Elsberry, Wei-Chia Chin, and Timothy P. Marchok
2024-05	Predicting Risks of Dry Eye Disease Development Using a Genome-Wide Polygenic Risk Score Model	Hsieh, Ai-ru
2003-02-15	Predicting the continuance usage of E-learning system to assimilate IT skills	吳錦波; Wu, Jiin-po; Hayashi, A.; Chen, C. C.; Ryan, T.; Wu, J.
2019	Predicting the failures of prediction markets: A procedure of decision making using classification models	Chung-Ching Tai; Hung-Wen Lin; Bin-Tzong Chie; Chen-Yuan Tung
2023-11-02	Predicting the Future States of Online Community Members for Effective Management	張昭憲; 李佳蓉; 李青芬
2010-01	Predicting the Long-Term Performance of a Structural Best Management Practice with the BMP ToolBox Model	Chen, Chi-feng; Lin, Jen-yang; Kang, Shyh-fang; Lee, Yan-jen; Yang, Chung-hsun; Lin, Jen-yang
2006-03-01	Predicting the outcome of two-party multi-issue negotiations	李青芬; Lee, Ching-fen; Chang, Pao-Long
2009-12	Predicting Type II Censored Data from 2^k Factorial Designs for the Weibull Distribution	Tsai, Tzong-Ru; Lin, Feng-Tse; Chiang, Jyun-You
2019-04-06	Predicting Yearly Winning Percentage of MLB Teams by Regression Trees	Jou, Chichang; Lo, Li-wen
2001-12	Prediction harmonic trend by neural network	蕭瑛東; Hsiao, Ying-tung
2016-09	Prediction Interval of Future Waiting Times of the Exponential Distribution under Multiply Type II Censoring	Shu-Fei Wu

Showing items 25801-25825 of 96937. (3878 Page(s) Totally) << < 2576 2577 2578 2579 2580 2581 2582 2583 2584 2585 > >> View [10|25|50] records per page