Index for pash

Pasha, A.[Aaryan] * 2023: Review on Anti-Spoofing: Face Manipulation and Liveness Detection, A

Pasha, J.[Junayed] * 2021: Vessel Schedule Recovery in Liner Shipping: Modeling Alternative Recovery Options
* 2022: Drone Scheduling Problem: A Systematic State-of-the-Art Review, The

Pasha, M.[Maruf] * 2024: histogram-based approach to calculate graph similarity using graph neural networks, A

Pasha, M.A.[Muhammad Adeel] * 2015: Indoor Positioning Using Visible LED Lights: A Survey
* 2025: Development of Trio Optimal Feature Extraction Model for Attention-Based Adaptive Weighted RNN-Based Lung and Colon Cancer Detection Framework Using Histopathological Images
Includes: Pasha, M.A.[Muhammad Adeel] Pasha, M.A.[Md Azam]

Pasha, S.[Saleem] * 2015: Feature extraction of handwritten Kannada characters using curvelets and principal component analysis

Pashaei, A.[Ali] * 2011: Effect of Scar Development on Fast Electrophysiological Models of the Human Heart: In-Silico Study on Atlas-Based Virtual Populations
* 2011: Sensitivity Analysis of Mesh Warping and Subsampling Strategies for Generating Large Scale Electrophysiological Simulation Data
* 2014: Statistical Personalization of Ventricular Fiber Orientation Using Shape Predictors
* 2020: Convolution neural network joint with mixture of extreme learning machines for feature extraction and classification of accident images
Includes: Pashaei, A.[Ali] Pashaei, A.

Pashaei, M. * 2013: Implementation of a Low Cost Structured Light Scanner
* 2020: Deep Learning Approach to Urban Street Functionality Prediction Based on Centrality Measures and Stacked Denoising Autoencoder, A
* 2020: Deep Learning-Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry
* 2020: Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland
Includes: Pashaei, M. Pashaei, M.[Mohammad]

Pashami, S. * 2018: Learning Low-Dimensional Representation of Bivariate Histogram Data
* 2023: Pitfalls of assessing extracted hierarchies for multi-class classification
* 2025: DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination
Includes: Pashami, S. Pashami, S.[Sepideh]

Pasher, J.[Jon] * 2015: Assessing the Potential to Operationalize Shoreline Sensitivity Mapping: Classifying Multiple Wide Fine Quadrature Polarized RADARSAT-2 and Landsat 5 Scenes with a Single Random Forest Model
* 2017: Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic
* 2017: Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands
* 2017: Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study
* 2018: Landsat Super-Resolution Enhancement Using Convolution Neural Networks and Sentinel-2 for Training
* 2019: Assessment of Convolution Neural Networks for Wetland Mapping with Landsat in the Central Canadian Boreal Forest Region
* 2019: Wetland Classification with Multi-Angle/Temporal SAR Using Random Forests
* 2020: Investigating the Potential Use of RADARSAT-2 and UAS imagery for Monitoring the Restoration of Peatlands
* 2020: State of Science Assessment of Remote Sensing of Great Lakes Coastal Wetlands: Responding to an Operational Requirement
* 2021: Assessment of Landsat Based Deep-Learning Membership Analysis for Development of from-to Change Time Series in the Prairie Region of Canada from 1984 to 2018
* 2021: InSAR Monitoring of Arctic Landfast Sea Ice Deformation Using L-Band ALOS-2, C-Band Radarsat-2 and Sentinel-1
* 2025: Remote Sensing Monitoring of Phragmites Treatment and Fish Habitat Restoration in Long Point, Lake Erie, Canada
12 for Pasher, J.

Pashevich, A.[Alexander] * 2018: Plane-extraction from depth-data using a Gaussian mixture regression model
* 2021: Episodic Transformer for Vision-and-Language Navigation

Pashinov, E.[Evgeny] * 2021: Comparison of Vertically Integrated Fluxes of Atmospheric Water Vapor According to Satellite Radiothermovision, Radiosondes, and Reanalysis

Pashkevich, G.A. * 2013: Optical schemes for speckle suppression by Barker code diffractive optical elements

Pashley, H. * 2005: Motion Texture

Pashova, L. * 2015: Conceptual Framework for Educational Disaster Centre Save the Children Life
* 2021: Geospatial Data Utilisation in National Disaster Management Frameworks and the Priorities of Multilateral Disaster Management Frameworks: Case Studies of India and Bulgaria
Includes: Pashova, L. Pashova, L.[Lyubka]

Index for "p"


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