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An Ensemble Learning Method Based on Deep Neural and Pca-Based Svm Network for Baggage Threat and Smoke Recognition.
An Ensemble Learning Method Based on Deep Neural and Pca-Based Svm Network for Baggage Threat and Sm
Transformers for Imbalanced Baggage Threat Recognition.
Transformers for Imbalanced Baggage Threat Recognition. (Velayudhan, D., Ahmed, A.H., Hassan, T., Be
Baggage threat recognition using deep low-rank broad learning detector.
Baggage threat recognition using deep low-rank broad learning detector. (Velayudhan, D., Hassan, T.,
Programmable broad learning system to detect concealed and imbalanced baggage threats.
Programmable broad learning system to detect concealed and imbalanced baggage threats. (Shafay, M.,
COVID-19 detection systems using deep-learning algorithms based on speech and image data.
COVID-19 detection systems using deep-learning algorithms based on speech and image data. (Nassif, A
A Composite Dataset of Lumbar Spine Images with Mid-Sagittal View Annotations and Clinically Significant Spinal Measurements.
A Composite Dataset of Lumbar Spine Images with Mid-Sagittal View Annotations and Clinically Signifi
Continual learning objective for analyzing complex knowledge representations.
Continual learning objective for analyzing complex knowledge representations. (Khan, A.M., Hassan, T
A novel incremental learning driven instance segmentation framework to recognize highly cluttered instances of the contraband items.
A novel incremental learning driven instance segmentation framework to recognize highly cluttered in
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Diffusion-weighted Magnetic Resonance Images: An Experimental Study.
The Classification Power of Classical and Intra-voxel Incoherent Motion (IVIM) Fitting Models of Dif
Baggage threat detection under extreme class imbalance.
Baggage threat detection under extreme class imbalance. (Ahmed, A., Velayudhan, D., Hassan, T., Hass
Balanced affinity loss for highly imbalanced baggage threat contour-driven instance segmentation.
Balanced affinity loss for highly imbalanced baggage threat contour-driven instance segmentation. (A
Temporal fusion based mutli-scale semantic segmentation for detecting concealed baggage threats.
Temporal fusion based mutli-scale semantic segmentation for detecting concealed baggage threats. (Sh
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