Super-low resolution face recognition using integrated efficient sub-pixel convolutional neural network (ESPCN) and convolutional neural network (CNN)

MA Talab, S Awang, SAM Najim - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Several deep image-based models which depend on deep learning have shown great
success in the recorded computational and reconstruction efficiencies, especially for single …

Seafloor topography inversion from multi-source marine gravity data using multi-channel convolutional neural network

B Ge, J Guo, Q Kong, C Zhu, L Huang, H Sun… - … Applications of Artificial …, 2025 - Elsevier
Seafloor topography is extremely important for marine scientific surveys and research.
Current physical methods have difficulties in integrating multi-source marine gravity data …

Machine learning model for managing the insider attacks in big data

B Shannaq, MA Talab, M Shakir, MT Sheker… - AIP Conference …, 2023 - pubs.aip.org
Abstract. In order to formalize information and knowledge about people, devices,
applications, and services in the network system, this study provided a model for displaying …

Music score recognition method based on deep learning

Q Lin - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
In recent years, the recommendation application of artificial intelligence and deep music has
gradually become a research hotspot. As a complex machine learning algorithm, deep …

[PDF][PDF] Face recognition using deep learning methods a review

OI Hammadi, AD Abas, KH Ayed - Int. J. Eng. Technol, 2018 - researchgate.net
Face recognition is one of the most challenging field of image analysis and computer vision
due to its wide practical applications in the areas of biometrics, information security, law …