Baik, Sung Wook

Early fire detection using convolutional neural networks during surveillance for effective disaster management

Muhammad, K., Ahmad, J., & Baik, S. W. (2018) · Neurocomputing

Fire Detection and Safety SystemsAdvanced Neural Network Applications

Cited by 558

Convolutional Neural Networks Based Fire Detection in Surveillance Videos

Muhammad, K., Ahmad, J., Mehmood, I., Rho, S., & Baik, S. W. (2018) · IEEE Access

Fire Detection and Safety SystemsAdvanced Neural Network Applications

Cited by 556

Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network

Badshah, A. M., Ahmad, J., Rahim, N., & Baik, S. W. (2017) · 2017 International Conference on Platform Technology and Service (PlatCon)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 413

Secure Surveillance Framework for IoT Systems Using Probabilistic Image Encryption

Muhammad, K., Hamza, R., Ahmad, J., Lloret, J., Wang, H., & Baik, S. W. (2018) · IEEE Transactions on Industrial Informatics

Chaos-based Image/Signal EncryptionIoT and Edge/Fog Computing

Cited by 299

Mobile edge computing based QoS optimization in medical healthcare applications

Sodhro, A. H., Luo, Z., Sangaiah, A. K., & Baik, S. W. (2019) · International Journal of Information Management

Network Traffic and Congestion ControlIoT and Edge/Fog Computing

Cited by 183

TransCNN: Hybrid CNN and transformer mechanism for surveillance anomaly detection

Ullah, W., Hussain, T., Ullah, F. U. M., Lee, M. Y., & Baik, S. W. (2023) · Engineering Applications of Artificial Intelligence

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 128

Batteries State of Health Estimation via Efficient Neural Networks with Multiple Channel Charging Profiles

Khan, N., Ullah, F. U. M., Afnan, Ullah, A., Lee, M. Y., & Baik, S. W. (2021) · IEEE Access

Advanced Battery Technologies ResearchAdvancements in Battery Materials

Cited by 98

TDS-Net: Transformer enhanced dual-stream network for video Anomaly Detection

Hussain, A., Ullah, W., Khan, N., Khan, Z. A., Kim, M. J., & Baik, S. W. (2024) · Expert Systems with Applications

Anomaly Detection Techniques and ApplicationsHuman Pose and Action Recognition

Cited by 47

Vision transformer attention with multi-reservoir echo state network for anomaly recognition

Ullah, W., Hussain, T., & Baik, S. W. (2023) · Information Processing & Management

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 47

Intelligent and Energy-Efficient Data Prioritization in Green Smart Cities: Current Challenges and Future Directions

Muhammad, K., Lloret, J., & Baik, S. W. (2019) · IEEE Communications Magazine

Smart Cities and TechnologiesIoT and Edge/Fog Computing

Cited by 46

Class-incremental learning network for real-time anomaly recognition in surveillance environments

Hussain, A., Ullah, W., Khan, N., Khan, Z. A., Yar, H., & Baik, S. W. (2026) · Pattern Recognition

Anomaly Detection Techniques and ApplicationsVideo Surveillance and Tracking Methods

Cited by 24