Chonho Lee
Cited by
Cited by
A survey of mobile cloud computing: architecture, applications, and approaches
HT Dinh, C Lee, D Niyato, P Wang
Wireless communications and mobile computing 13 (18), 1587-1611, 2013
Auction approaches for resource allocation in wireless systems: A survey
Y Zhang, C Lee, D Niyato, P Wang
IEEE Communications surveys & tutorials 15 (3), 1020-1041, 2012
Big healthcare data analytics: Challenges and applications
C Lee, Z Luo, KY Ngiam, M Zhang, K Zheng, G Chen, BC Ooi, WLJ Yip
Handbook of large-scale distributed computing in smart healthcare, 11-41, 2017
A real-time group auction system for efficient allocation of cloud internet applications
C Lee, P Wang, D Niyato
IEEE Transactions on Services Computing 8 (2), 251-268, 2013
An evolutionary game theoretic approach to adaptive and stable application deployment in clouds
C Lee, J Suzuki, A Vasilakos, Y Yamamoto, K Oba
Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed …, 2010
Towards a fully automated diagnostic system for orthodontic treatment in dentistry
S Murata, C Lee, C Tanikawa, S Date
IEEE 13th International Conference on e-Science (e-Science), 1-8, 2017
Deep learning based cephalometric landmark identification using landmark-dependent multi-scale patches
C Lee, C Tanikawa, JY Lim, T Yamashiro
arXiv preprint arXiv:1906.02961, 2019
Gazetry: Swipe text typing using gaze
Y Liu, C Zhang, C Lee, BS Lee, AQ Chen
Proceedings of the annual meeting of the australian special interest group …, 2015
Prediction of future shot direction using pose and position of tennis player
T Shimizu, R Hachiuma, H Saito, T Yoshikawa, C Lee
ACM MMSports, Proceedings of the 2nd International Workshop on Multimedia …, 2019
Swat: A decentralized self-healing mechanism for wormhole attacks in wireless sensor networks
C Lee, J Suzuki
Handbook on sensor networks, 511-532, 2010
Clinical applicability of automated cephalometric landmark identification: Part I—patient‐related identification errors
C Tanikawa, C Lee, J Lim, A Oka, T Yamashiro
Orthodontics & Craniofacial Research 24, 43-52, 2021
Towards a biologically-inspired architecture for self-regulatory and evolvable network applications
C Lee, H Wada, J Suzuki
Advances in Biologically Inspired Information Systems: Models, Methods, and …, 2007
An immunologically-inspired adaptation mechanism for evolvable network applications
C Lee, J Suzuki
IEEE Consumer Communications and Networking Conference, 576-581, 2007
Accurate Spatial Mapping of Social Media Data with Physical Locations
M Mittal, P Siriaraya, C Lee, Y Kawai, T Yoshikawa, S Shimojo
IEEE Big Data, 4113-4116, 2019
An immunologically-inspired autonomic framework for self-organizing and evolvable network applications
C Lee, J Suzuki
ACM Transactions on Autonomous and Adaptive Systems (TAAS) 4 (4), 1-34, 2009
Evaluation of Dental Image Augmentation for the Severity Assessment of Periodontal Disease
Y Moriyama, C Lee, S Date, Y Kashiwagi, Y Narukawa, K Nozaki, ...
International Conference on Computational Science & Computational …, 2019
A MapReduce-like Deep Learning Model for the Depth Estimation of Periodontal Pockets
Y Moriyama, C Lee, S Date, Y Kashiwagi, Y Narukawa, K Nozaki, ...
12th International Conference on Health Informatics (Healthinf), 2019
A wavelet entropy-based change point detection on network traffic: A case study of heartbleed vulnerability
C Lee, L Yi, LH Tan, W Goh, BS Lee, CK Yeo
IEEE International Conference on Cloud Computing Technology and Science, 995 …, 2014
Workflow framework to support data analytics in cloud computing
S Chaisiri, Z Bong, C Lee, BS Lee, P Sessomboon, T Saisillapee, ...
IEEE International Conference on Cloud Computing Technology and Science …, 2012
iNet-EGT: An evolutionarily stable adaptation framework for network applications
C Lee, J Suzuki, AV Vasilakos
Bioinspired Models of Network, Information, and Computing Systems: 4th …, 2010
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