Awad, A.
* 2020: Measuring the Spatial Readiness of Ambulance Facilities for Natural Disasters Using GIS Networks Analysis
Awad, A.I.[Ali Ismail]
* 2019: TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation
Awad, A.S.
* 2008: edge detection technique in images, An
* 2011: Standard Deviation for Obtaining the Optimal Direction in the Removal of Impulse Noise
Awad, B.[Bahaa]
* 2023: FAUNet: Frequency Attention U-Net for Parcel Boundary Delineation in Satellite Images
Awad, D.[Dounia]
* 2012: Saliency Filtering of SIFT Detectors: Application to CBIR
* 2014: New Hybrid Texture-Perceptual Descriptor: Application CBIR, A
* 2015: Toward a perceptual object recognition system
Awad, G.[George]
* 2006: Real Time Hand Gesture Recognition Including Hand Segmentation and Tracking
* 2006: Unified System for Segmentation and Tracking of Face and Hands in Sign Language Recognition, A
* 2009: Automatic skin segmentation and tracking in sign language recognition
* 2009: Modelling and segmenting subunits for sign language recognition based on hand motion analysis
* 2009: Novel boosting framework for subunit-based sign language recognition
* 2013: Boosted subunits: a framework for recognising sign language from videos
* 2017: Instance search retrospective with focus on TRECVID
* 2018: On Influential Trends in Interactive Video Retrieval: Video Browser Showdown 2015-2017
* 2019: V3C: A Research Video Collection
Includes: Awad, G.[George] Awad, G.
9 for Awad, G.
Awad, H.A.[Hamdy A.]
* 2022: Hydrothermal Alteration Mapping Using Landsat 8 and ASTER Data and Geochemical Characteristics of Precambrian Rocks in the Egyptian Shield: A Case Study from Abu Ghalaga, Southeastern Desert, Egypt
Awad, M.
* 2003: 3-D visualization method for image-guided brain surgery, A
* 2006: framework for image classification, A
* 2014: Age and gender recognition using informative features of various types
* 2015: Panel Tracking for the Extraction and the Classification of Speech Balloons
* 2018: Real-Time FPGA Implementation of Visible/Near Infrared Fusion Based Image Enhancement, A
* 2020: Deep Transfer Learning Framework for Seismic Data Analysis: A Case Study on Bright Spot Detection, A
Includes: Awad, M. Awad, M.[Maher] Awad, M.[Mariette]
Awad, M.A.[Mohamed A.]
* 2019: Urban Health Related Air Quality Indicators over the Middle East and North Africa Countries Using Multiple Satellites and AERONET Data
Awad, M.M.[Mohamad M.]
* 2009: Satellite image segmentation using hybrid variable genetic algorithm
* 2019: Low-Complexity Semi-Blind Channel Estimation Algorithms for Vehicular Communications Using the IEEE 802.11p Standard
* 2023: FlexibleNet: A New Lightweight Convolutional Neural Network Model for Estimating Carbon Sequestration Qualitatively Using Remote Sensing
Includes: Awad, M.M.[Mohamad M.] Awad, M.M.
Awad, M.W.
* 2009: Multi-component image segmentation using a hybrid dynamic genetic algorithm and fuzzy C-means
Awad, S.I.[Samer I.]
* 2019: Automated identification and counting of proliferating mesenchymal stem cells in bone callus
Awada, H.[Hassan]
* 2018: On the Use of the Eddy Covariance Latent Heat Flux and Sap Flow Transpiration for the Validation of a Surface Energy Balance Model
Awada, T.
* 2017: Automated Stem Angle Determination for Temporal Plant Phenotyping Analysis
* 2021: Early Detection of Encroaching Woody Juniperus Virginiana and Its Classification in Multi-Species Forest Using UAS Imagery and Semantic Segmentation Algorithms
* 2021: Visual Growth Tracking for Automated Leaf Stage Monitoring Based on Image Sequence Analysis
* 2022: FlowerPhenoNet: Automated Flower Detection from Multi-View Image Sequences Using Deep Neural Networks for Temporal Plant Phenotyping Analysis
Includes: Awada, T. Awada, T.[Tala]
Awadallah, A.[Ahmed]
* 2022: DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment
* 2022: Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy, The
* 2022: Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models
Awadallah, M.
* 2014: Multisensensor Multitemporal Data Fusion Using Wavelet Transform
* 2014: Segmentation of sparse noisy point clouds using active contour models
Includes: Awadallah, M. Awadallah, M.[Mahmoud]
Awadallah, M.O.M.[Mahmoud Omer Mahmoud]
* 2022: Comparison between Topographic and Bathymetric LiDAR Terrain Models in Flood Inundation Estimations
* 2023: Quantitative Evaluation of Bathymetric LiDAR Sensors and Acquisition Approaches in Laerdal River in Norway