Deming Zhou and Lawrence C. Leung Department of Decision Sciences and Managerial Economics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong, China, Email: William P. Pierskalla UCLA Anderson School of Management, The University of California, Los Angeles, 110 Westwood Plaza, Los Angeles, CA 90095, USA [email protected]; [email protected]; 3 william.pierskalla@anderson...

Deming Zhai1 [email protected] Hong Chang2 [email protected] Bo Li1 [email protected] Shiguang Shan2 [email protected] Xilin Chen2 [email protected] Wen Gao13 [email protected] 1 School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China 2 Key Laboratory of Intelligent Information Processing, Chinese Academy of Sciences, Beijing,China 3 Institute of Digital Media, Peking Univ...

This work demonstrates that a transfer learning-based deep learning model can perform unambiguous classification based on microscopic images of material surfaces with high degree accuracy. A learning-enhanced was successfully used in combination an innovative approach for eliminating noisy data automatic selection using pixel sum values, which refined over different epochs to develop and evalua...

A comprehensive model for the management, monitoring and assessment of the innovation projects implemented by the local government is presented. The model is based on the classic Deming PDCA quality-oriented process. It is defined in collaboration with our local government partner in order to measure the effective impact of the innovation policies developed by the public administrations. An “eG...

For the problem of dual system estimation, we propose a treed Capture Recapture Model (CRM) to account for heterogeneity of capture probabilities where individual auxiliary information is available. A treed CRM uses a binary tree to partition the covariate space into “homogeneous” regions, within each of which the capture response can be described adequately by a simple model that assumes equal...