Zeraati, M.
* 2007: Vibration Mode Imaging
Zeraatkar Moghaddam, J.[Javad]
* 2020: Infant brain segmentation based on a combination of VGG-16 and U-Net deep neural networks
Includes: Zeraatkar Moghaddam, J.[Javad] Zeraatkar-Moghaddam, J.[Javad]
Zeraatpisheh, M.[Mojtaba]
* 2020: Improving the Spatial Prediction of Soil Organic Carbon Content in Two Contrasting Climatic Regions by Stacking Machine Learning Models and Rescanning Covariate Space
* 2020: Remote Sensing-Based Mapping of Senescent Leaf C:N Ratio in the Sundarbans Reserved Forest Using Machine Learning Techniques
* 2021: Ground Observations and Environmental Covariates Integration for Mapping of Soil Salinity: A Machine Learning-Based Approach
* 2021: Texture Is Important in Improving the Accuracy of Mapping Photovoltaic Power Plants: A Case Study of Ningxia Autonomous Region, China
* 2022: Comparison of Model Averaging Techniques to Predict the Spatial Distribution of Soil Properties, A
Zerai, M.[Mourad]
* 2007: Riemannian Curvature-Driven Flows for Tensor-Valued Data
* 2009: Image Denoising by Harmonic Mean Curvature Flow
* 2010: Differential-Geometrical Framework for Color Image Quality Measures, A
* 2011: Riemannian Geometry of the Space of Positive-Definite Matrices and Its Application to the Regularization of Positive-Definite Matrix-Valued Data, The
* 2013: Color Image Compression by Riemannian B-Tree Triangular Coding
Includes: Zerai, M.[Mourad] Zéraï, M.[Mourad]