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- research-articleApril 2024
GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction
Computational Biology and Chemistry (COBC), Volume 108, Issue Chttps://doi.org/10.1016/j.compbiolchem.2023.107982AbstractDrug target affinity prediction (DTA) is critical to the success of drug development. While numerous machine learning methods have been developed for this task, there remains a necessity to further enhance the accuracy and reliability of ...
Highlights- In order to enrich the spatial structure information of drugs and proteins, this study combined the drug and protein mapping conversion modules to obtain a richer feature vector. This approach effectively addresses the issue of information ...
- research-articleDecember 2023
Investigating ResNet Variants in U-Net to Obtain High-Quality Depth Maps in Indoor Scenes
SIET '23: Proceedings of the 8th International Conference on Sustainable Information Engineering and TechnologyPages 150–156https://doi.org/10.1145/3626641.3626669Depth estimation has an important role in various applications. Generally, active sensors such as Light Detector and Ranging (LiDAR) or stereo cameras are used in depth estimation. However, they have various drawbacks, primarily the computational cost ...
- research-articleSeptember 2021
Multi-level dictionary learning for fine-grained images categorization with attention model
Neurocomputing (NEUROC), Volume 453, Issue CPages 403–412https://doi.org/10.1016/j.neucom.2020.07.147AbstractFine-grained image categorization is a challenging task due to the difficulty of localizing the discriminative regions for different sub-categories. Previous works mainly focus on using the manual annotations or the attention algorithm ...
- research-articleJune 2021
Classification of operation cases in electric arc welding wachine by using deep convolutional neural networks
Neural Computing and Applications (NCAA), Volume 33, Issue 12Pages 6657–6670https://doi.org/10.1007/s00521-020-05436-yAbstractElectric arc welding machines are widely used in industry in metal technology. In parallel with the advancement of technology for the development and automation of electric arc welding machines, it is necessary to conduct scientific studies on the ...
- research-articleNovember 2020
Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning
The Journal of Supercomputing (JSCO), Volume 76, Issue 11Pages 8590–8608https://doi.org/10.1007/s11227-020-03159-4AbstractCervical cancer is one of the fastest growing global health problems and leading cause of mortality among women of developing countries. Automated Pap smear cell recognition and classification in early stage of cell development is crucial for ...
- articleJuly 2018
Exploiting representations from pre-trained convolutional neural networks for high-resolution remote sensing image retrieval
Multimedia Tools and Applications (MTAA), Volume 77, Issue 13Pages 17489–17515https://doi.org/10.1007/s11042-017-5314-5With the increasing amount of high-resolution remote sensing images, it becomes more and more urgent to retrieve remote sensing images from large archives efficiently. The existing methods are mainly based on shallow features to retrieve images, while ...
