Muhammad, Khan

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

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

Federated learning for COVID-19 screening from Chest X-ray images

Feki, I., Ammar, S., Kessentini, Y., & Muhammad, K. (2021) · Applied Soft Computing

COVID-19 diagnosis using AIPrivacy-Preserving Technologies in Data

Cited by 278

FogSurv: A Fog-Assisted Architecture for Urban Surveillance Using Artificial Intelligence and Data Fusion

Munir, A., Kwon, J., Lee, J. H., Kong, J., Blasch, E., Aved, A. J., & Muhammad, K. (2021) · IEEE Access

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 73

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