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Fast Algorithm Based on Parallel Computing for Sample Entropy Calculation Journal article
IEEE Access, 2021
Authors:  Dong X.;  Chen C.;  Geng Q.;  Zhang W.;  Zhang X.D.
Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/03
Acceleration  Algorithm  Biomedical Monitoring  Entropy  Fast Computation  Graphics Processing Unit  Graphics Processing Units  Kernel  Parallel Computing  Sample Entropy  Standards  Time Series Analysis  
A Fully Dynamic Multi-Mode CMOS Vision Sensor with Mixed-Signal Cooperative Motion Sensing and Object Segmentation for Adaptive Edge Computing Journal article
IEEE Journal of Solid-State Circuits, 2020,Volume: 55,Issue: 6,Page: 1684-1697
Authors:  Zhong,Xiaopeng;  Law,Man Kay;  Tsui,Chi Ying;  Bermak,Amine
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/11
Background subtraction (BS)  CMOS vision sensor  cooperative motion sensing (MS)  edge computing  frame differencing (FD)  fully dynamic  in-sensor computation  mixed-signal processing  object segmentation (OS)  wireless sensor networks (WSNs)  
An Angular-Displacement Microwave Sensor Using an Unequal-Length-Bi-Path Transversal Filtering Section Journal article
IEEE Sensors Journal, 2020,Volume: 20,Issue: 2,Page: 715-722
Authors:  Chio,Chi Hou;  Gomez-Garcia,Roberto;  Yang,Li;  Tam,Kam Weng;  Choi,Wai Wa;  Ho,Sut Kam
Favorite |  | TC[WOS]:8 TC[Scopus]:10 | Submit date:2021/03/09
Angular-displacement sensor  Microstrip technology  Microwave measurement technique  Microwave sensor  Microwave sensor  Multi-band sensing  Rotational-angle sensor  Transmission zero  Transversal filtering section (TFS)  
Quadratic effects of dynamic decision-making capability on innovation orientation and performance: Evidence from Chinese exporters Journal article
Industrial Marketing Management, 2019,Volume: 83,Page: 59-69
Authors:  Paul Hughes;  Anne L. Souchon;  Ekaterina Nemkova;  Ian R. Hodgkinson;  João S. Oliveira;  Nathaniel Boso;  Magnus Hultman;  Abena A. Yeboah-Banin;  Joseph Sy-Changco
Favorite |  | TC[WOS]:0 TC[Scopus]:6 | Submit date:2019/11/27
Dynamic Capabilities  Exporting  Decision-making  Innovation  Export Market Performance  Quadratic Effects  China  
Agility and resource dependency in ramp-up process of humanitarian organizations Journal article
The International Journal of Logistics Management, 2019,Volume: 30,Issue: 3,Page: 845-862
Authors:  Qing Lu;  Jie Wu;  Mark Goh;  Robert De Souza
Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2020/07/17
Strategic Management  Humanitarian Logistics  Emergency Preparedness  Agility Strategy  Dynamic Capabilities  Resource Dependency  Ramp-up Process  
Towards an understanding of the nature of dynamic capabilities in high-velocity markets of China Journal article
Journal of Business Research, 2019,Volume: 97,Page: 212-226
Authors:  ShenxueLi;  MarkEasterby-Smith;  Jacky F.L.Hong
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High-velocity Market  Dynamic Capabilities  Multiple Case Study  China  Mnc  
Towards an understanding of the nature of dynamic capabilities in high-velocity markets of China Journal article
Journal of Business Research, 2019,Volume: 97,Page: 212-226
Authors:  Li,Shenxue;  Easterby-Smith,Mark;  Hong,Jacky F.L.
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China  Dynamic capabilities  High-velocity market  MNC  Multiple case study  
Particle filter grey Wolf optimization for parameter estimation of nonlinear dynamic system Conference paper
International Conference on Wavelet Analysis and Pattern Recognition
Authors:  Zhang,Cuilian;  Yang,Xu;  Lilingbo,;  Wong,Derek F.
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Grey Wolf Optimization  MCMC  Parameter Estimation  Particle Filter  
Leveraging of Dynamic export capabilities for competitive advantage and performance consequences: Evidence from China Journal article
Journal of Business Research, 2018,Volume: 84,Page: 114-124
Authors:  Kalanit Efrat;  Paul Hughes;  Ekaterina Nemkova;  Anne L. Souchon;  Joseph Sy-Changco
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Adaptability, Innovativeness  Competitive Advantage  Performance  Unpredictability, Task Flexibility  
An Entrepreneurial Perspective on Developed Economy Firms’ Learning from Asia Book chapter
出自: Organizational Learning in Asia: Issues and Challenges:Elsevier Science, 2017
Authors:  J. Cuervo
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