Nakib, A.
Co Author Listing * Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers
* Adaptive Image Anonymization in the Context of Image Classification with Neural Networks
* Application Guided Image Quality Estimation Based on Classification
* CNN Classifier's Robustness Enhancement when Preserving Privacy
* Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images
* Evidence theory for image segmentation using information from stochastic Watershed and Hessian filtering
* Image thresholding framework based on two-dimensional digital fractional integration and Legendre moments'
* Inference Acceleration of Deep Learning Classifiers Based on RNN
* Multiple auxiliary classifiers GAN for controllable image generation: Application to license plate recognition
* New Vehicle Classification Method Based on Hybrid Classifiers
* Non-supervised image segmentation based on multiobjective optimization
* Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint
* Real-time assessment of bone structure positions via ultrasound imaging
* Thin structure filtering framework with non-local means, Gaussian derivatives and spatially-variant mathematical morphology
* thresholding method based on two-dimensional fractional differentiation, A
* Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification
Includes: Nakib, A. Nakib, A.[Amir]
16 for Nakib, A.
Nakin, M.D.V.
Co Author Listing * System Dynamics Approach for Evaluating Existing and Future Water Allocation Planning Among Conflicting Users
Nakini, T.K.D.[Tushar Kanta Das]
Co Author Listing * Distortion Correction in 3D-Modeling of Root Systems for Plant Phenotyping
Nakip, M.[Mert]
Co Author Listing * Engagement Detection with Multi-Task Training in E-Learning Environments
Nakisa, B.[Bahareh]
Co Author Listing * Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements, A
* Driver Emotion Recognition With a Hybrid Attentional Multimodal Fusion Framework