Seungmin Rho
Seungmin Rho
Department of Industrial Security, Chung-Ang University, Korea
Verified email at - Homepage
Cited by
Cited by
Urban planning and building smart cities based on the internet of things using big data analytics
MM Rathore, A Ahmad, A Paul, S Rho
Computer networks 101, 63-80, 2016
Convolutional neural networks based fire detection in surveillance videos
K Muhammad, J Ahmad, I Mehmood, S Rho, SW Baik
Ieee Access 6, 18174-18183, 2018
Deep learning based multi-channel intelligent attack detection for data security
F Jiang, Y Fu, BB Gupta, Y Liang, S Rho, F Lou, F Meng, Z Tian
IEEE transactions on Sustainable Computing 5 (2), 204-212, 2018
Traffic engineering in software-defined networking: Measurement and management
Z Shu, J Wan, J Lin, S Wang, D Li, S Rho, C Yang
IEEE access 4, 3246-3256, 2016
Medical image denoising using convolutional neural network: a residual learning approach
W Jifara, F Jiang, S Rho, M Cheng, S Liu
The Journal of Supercomputing 75, 704-718, 2019
Improving electric energy consumption prediction using CNN and Bi-LSTM
T Le, MT Vo, B Vo, E Hwang, S Rho, SW Baik
Applied Sciences 9 (20), 4237, 2019
A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image
K Muhammad, M Sajjad, I Mehmood, S Rho, SW Baik
Multimedia Tools and Applications 75, 14867-14893, 2016
Music emotion classification and context-based music recommendation
B Han, S Rho, S Jun, E Hwang
Multimedia Tools and Applications 47, 433-460, 2010
Towards efficient electricity forecasting in residential and commercial buildings: A novel hybrid CNN with a LSTM-AE based framework
ZA Khan, T Hussain, A Ullah, S Rho, M Lee, SW Baik
Sensors 20 (5), 1399, 2020
Cooperative cognitive intelligence for internet of vehicles
A Paul, A Daniel, A Ahmad, S Rho
IEEE Systems Journal 11 (3), 1249-1258, 2015
Short-term prediction of residential power energy consumption via CNN and multi-layer bi-directional LSTM networks
FUM Ullah, A Ullah, IU Haq, S Rho, SW Baik
IEEE Access 8, 123369-123380, 2019
Fog Computing‐Based IoT for Health Monitoring System
A Paul, H Pinjari, WH Hong, HC Seo, S Rho
Journal of Sensors 2018 (1), 1386470, 2018
Medical image semantic segmentation based on deep learning
F Jiang, A Grigorev, S Rho, Z Tian, YS Fu, W Jifara, K Adil, S Liu
Neural Computing and Applications 29, 1257-1265, 2018
Energy aware cluster-based routing in flying ad-hoc networks
F Aadil, A Raza, MF Khan, M Maqsood, I Mehmood, S Rho
Sensors 18 (5), 1413, 2018
Combination of short-term load forecasting models based on a stacking ensemble approach
J Moon, S Jung, J Rew, S Rho, E Hwang
Energy and Buildings 216, 109921, 2020
A fog based middleware for automated compliance with OECD privacy principles in internet of healthcare things
AM Elmisery, S Rho, D Botvich
IEEE access 4, 8418-8441, 2016
Image steganography using uncorrelated color space and its application for security of visual contents in online social networks
K Muhammad, M Sajjad, I Mehmood, S Rho, SW Baik
Future Generation Computer Systems 86, 951-960, 2018
Leukocytes classification and segmentation in microscopic blood smear: a resource-aware healthcare service in smart cities
M Sajjad, S Khan, Z Jan, K Muhammad, H Moon, JT Kwak, S Rho, ...
IEEE Access 5, 3475-3489, 2016
SMERS: Music Emotion Recognition Using Support Vector Regression.
B Han, S Rho, RB Dannenberg, E Hwang
ISMIR, 651-656, 2009
A comparative analysis of artificial neural network architectures for building energy consumption forecasting
J Moon, S Park, S Rho, E Hwang
International Journal of Distributed Sensor Networks 15 (9), 1550147719877616, 2019
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