Moghadam, A.A.[Abdolreza Abdolhosseini]
* 2009: Randomness-in-Structured Ensembles for compressed sensing of images
* 2011: Compressive demosaicing for periodic color filter arrays
* 2013: Compressive Framework for Demosaicing of Natural Images
* 2014: Common and Innovative Visuals: A Sparsity Modeling Framework for Video
Includes: Moghadam, A.A.[Abdolreza Abdolhosseini] Moghadam, A.A.
Moghadam, A.M.E.[Amir Masoud Eftekhari]
* 2013: new evaluation measure for color image segmentation based on genetic programming approach, A
* 2019: regularized approach for unsupervised multi-view multi-manifold learning, A
Moghadam, H.J.[Hadi Jamshid]
* 2024: PRISMA Hyperspectral Remote Sensing Data for Mapping Alteration Minerals in Sar-e-Ch¢h-e-Shur Region, Birjand, Iran
Moghadam, M.E.[Mohsen Ebrahimi]
* 2008: Persian Writer Identification Using Extended Gabor Filter
* 2010: text-independent Persian writer identification based on feature relation graph (FRG), A
Moghadam, M.H.[Mahshid Helali]
* 2026: ACHILLES: A Machine Learning Framework for Explainable and Generalized Automotive Intrusion Detection System
Moghadam, M.R.V.
* 2019: Generic Receiver Architecture for MIMO Wireless Power Transfer With Nonlinear Energy Harvesting, A
Moghadam, P.
* 2008: Improving path planning and mapping based on stereo vision and lidar
* 2012: Fast Vanishing-Point Detection in Unstructured Environments
* 2013: Ad Hoc Radiometric Calibration of a Thermal-Infrared Camera
* 2017: Plant Disease Detection Using Hyperspectral Imaging
* 2017: Probabilistic Surfel Fusion for Dense LiDAR Mapping
* 2018: Non-rigid Reconstruction with a Single Moving RGB-D Camera
* 2020: Multi-species Seagrass Detection and Classification from Underwater Images
* 2020: Scalable learning for bridging the species gap in image-based plant phenotyping
* 2021: Reduction of Feature Contamination for Hyper Spectral Image Classification
* 2021: Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
* 2022: Why Object Detectors Fail: Investigating the Influence of the Dataset
* 2023: Exploiting Field Dependencies for Learning on Categorical Data
* 2023: Flashback for Continual Learning
* 2023: Learning Partial Correlation based Deep Visual Representation for Image Classification
* 2023: Plant species richness prediction from DESIS hyperspectral data: A comparison study on feature extraction procedures and regression models
* 2024: Multivariate prototype representation for domain-generalized incremental learning
* 2024: TULIP: Transformer for Upsampling of LiDAR Point Clouds
* 2026: Advances in Machine Learning Approaches for UAV-Based Remote Sensing in Data-Deficient Antarctic Environments
Includes: Moghadam, P. Moghadam, P.[Peyman]
18 for Moghadam, P.
Moghadam, P.A.[Puria Azadi]
* 2023: Morphology Focused Diffusion Probabilistic Model for Synthesis of Histopathology Images, A
* 2023: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
Moghadam, P.J.[Pooria Jafari]
* 2007: Image Sifting for Micro Array Image Enhancement
Moghadam, R.A.[Reza A.]
* 2005: Analog Fault Detection And Classification Using Genetic Algorithm
Moghadam, S.M.
* 2017: Nonlinear analysis of video images using deep recurrent auto-associative neural networks for facial understanding
Moghadas, D.[Davood]
* 2015: Temporal Monitoring of the Soil Freeze-Thaw Cycles over a Snow-Covered Surface by Using Air-Launched Ground-Penetrating Radar
* 2019: Influence of Geostatistical Prior Modeling on the Solution of DCT-Based Bayesian Inversion: A Case Study from Chicken Creek Catchment, The
Moghadas, M.[Mahsa]
* 2022: Framework for Scaling Urban Transformative Resilience through Utilizing Volunteered Geographic Information, A
Moghadasi, N.[Negin]
* 2024: Process Quality Assurance of Artificial Intelligence in Medical Diagnosis
Moghadasi, S.M.
* 2014: Buried-Object Time-Reversal Imaging Using UWB Near-Ground Scattered Fields
* 2015: Time Reversal Imaging of Deeply Buried Targets Under Moderately Rough Surfaces Using Approximate Transmitted Fields
Moghadasian, S.S.
* 2020: Sparsely Localized Time-Frequency Energy Distributions for Multi-Component LFM Signals
* 2022: Fast and Accurate Method for Parameter Estimation of Multi-Component LFM Signals, A
Includes: Moghadasian, S.S. Moghadasian, S.S.[Seyed Saman]
Moghaddam Nia, A.
* 2019: Evaluation of TRMM-3B42V7 and Persiann-CDR Daily-precipitation Products For The Southern Slopes of Alborz Mountains, Iran
Moghaddam, A.A.
* 2011: Enhancing Radiographic Images Using Two Dimensional Left Median Filter
Moghaddam, A.E.[Amal Eisapour]
* 2019: Automatic detection and segmentation of blood vessels and pulmonary nodules based on a line tracking method and generalized linear regression model
Moghaddam, A.O.[Amir Ostadi]
* 2020: Quantitative Classification of 3D Collagen Fiber Organization From Volumetric Images
Moghaddam, B.
* 1993: View-Based and Modular Eigenspaces for Face Recognition
* 1994: Face Recognition Using View-Based and Modular Eigenspaces
* 1994: View-Based and Modular Eigenspaces for Face Recognition
* 1995: Automatic System for Model-Based Coding of Faces, An
* 1995: Probabilistic Visual Learning for Object Detection
* 1995: subspace method for maximum likelihood target detection, A
* 1996: Active Face Tracking and Pose Estimation in an Interactive Room
* 1996: Bayesian Face Recognition Using Deformable Intensity Surfaces
* 1996: Bayesian Similarity Measure for Direct Image Matching, A
* 1996: Generalized Image Matching: Statistical Learning of Physically-Based Deformations
* 1996: Probabilistic Visual Learning For Object Representation
* 1997: Flexible Images: Matching and Recognition Using Learned Deformations
* 1997: Probabilistic Visual Learning For Object Representation
* 1998: Beyond Eigenfaces: Probabilistic Matching for Face Recognition
* 1998: Beyond Eigenfaces: Probabilistic Matching for Face Recognition
* 1998: Efficient MAP/ML Similarity Matching for Visual Recognition
* 1999: Defining Image Content with Multiple Regions-of-Interest
* 1999: Principal Manifolds and Bayesian Subspaces for Visual Recognition
* 2000: Bayesian face recognition
* 2000: Gender Classification with Support Vector Machines
* 2000: Image Retrieval with Local and Spatial Queries
* 2000: Support Vector Machines for Visual Gender Classification
* 2001: Bayesian face recognition with deformable image models
* 2001: Bayesian similarity measure for deformable image matching, A
* 2001: ICA-based Probabilistic Local Appearance Models
* 2001: Regions-of-Interest and Spatial Layout for Content-Based Image Retrieval
* 2002: Factorized local appearance models
* 2002: Learning Gender with Support Faces
* 2002: Principal Manifolds and Probabilistic Subspaces for Visual Recognition
* 2002: unified learning framework for real time face detection and classification, A
* 2002: Visualization, Estimation and User-Modeling for Interactive Browsing of Image Libraries
* 2003: Higher-order dependencies in local appearance models
* 2003: Local appearance-based models using high-order statistics of image features
* 2003: Model-based 3D face capture with shape-from-silhouettes
* 2004: Finding optimal views for 3D face shape modeling
* 2004: Intra-personal kernel space for face recognition
* 2004: Visual Tracking and Recognition Using Appearance-Adaptive Models in Particle Filters
* 2004: Visualization and User-Modeling for Browsing Personal Photo Libraries
* 2005: Bilinear Illumination Model for Robust Face Recognition, A
* 2006: Generalized Spectral Bounds for Sparse LDA
* 2006: Spectral Bounds for Sparse PCA: Exact and Greedy Algorithms
* 2007: Constructing heads from 3D models and 2D silhouettes
* 2007: Fast Pixel/Part Selection with Sparse Eigenvectors
Includes: Moghaddam, B. Moghaddam, B.[Baback]
43 for Moghaddam, B.
Moghaddam, D.D.[Davoud Davoudi]
* 2019: Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping, An
Moghaddam, F.E.[Fatemeh Eghbali]
* 2013: Changes in plant defense chemistry (pyrrolizidine alkaloids) revealed through high-resolution spectroscopy
Moghaddam, F.F.
* 2013: Unsupervised Ensemble of Experts (EoE) Framework for Automatic Binarization of Document Images
Moghaddam, H.[Hossein]
* 2023: Robust Semantic Segmentation UNCV2023 Challenge Results, The
Moghaddam, M.
* 2006: Bistatic Scattering From Three-Dimensional Layered Rough Surfaces
* 2007: Electromagnetic Scattering From Multilayer Rough Surfaces With Arbitrary Dielectric Profiles for Remote Sensing of Subsurface Soil Moisture
* 2009: Inversion of Subsurface Properties of Layered Dielectric Structures With Random Slightly Rough Interfaces Using the Method of Simulated Annealing
* 2011: Generalized Radar Backscattering Model Based on Wave Theory for Multilayer Multispecies Vegetation, A
* 2012: Approach to Mapping Forest Growth Stages in Queensland, Australia through Integration of ALOS PALSAR and Landsat Sensor Data, An
* 2012: Potential of L-Band Radar for Retrieval of Canopy and Subcanopy Parameters of Boreal Forests
* 2013: Bistatic Vector 3-D Scattering From Layered Rough Surfaces Using Stabilized Extended Boundary Condition Method
* 2013: Coherent Scattering of Electromagnetic Waves from Two-Layer Rough Surfaces Within the Kirchhoff Regime
* 2014: Effect of Variable Soil Moisture Profiles on P-Band Backscatter, The
* 2014: Models of L-Band Radar Backscattering Coefficients Over Global Terrain for Soil Moisture Retrieval
* 2014: Python-Based Open Source System for Geographic Object-Based Image Analysis (GEOBIA) Utilizing Raster Attribute Tables, A
* 2014: Simulation Study of Compact Polarimetry for Radar Retrieval of Soil Moisture, A
* 2015: Classification of Alaska Spring Thaw Characteristics Using Satellite L-Band Radar Remote Sensing
* 2015: Combined Active-Passive Soil Moisture Estimation Algorithm With Adaptive Regularization in Support of SMAP, A
* 2015: Evaluation of ALOS PALSAR Data for High-Resolution Mapping of Vegetated Wetlands in Alaska
* 2015: P-Band Radar Retrieval of Subsurface Soil Moisture Profile as a Second-Order Polynomial: First AirMOSS Results
* 2015: Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms, The
* 2015: Theoretical Modeling and Analysis of L- and P-band Radar Backscatter Sensitivity to Soil Active Layer Dielectric Variations
* 2016: Generalized Terrain Topography in Radar Scattering Models
* 2017: Advancing NASA's AirMOSS P-Band Radar Root Zone Soil Moisture Retrieval Algorithm via Incorporation of Richards' Equation
* 2017: Combined Radar-Radiometer Surface Soil Moisture and Roughness Estimation
* 2017: Data Assimilation to Extract Soil Moisture Information from SMAP Observations
* 2017: Full-Wave Electromagnetic Scattering From Rough Surfaces With Buried Inhomogeneities
* 2017: Surface Soil Moisture Retrieval Using the L-Band Synthetic Aperture Radar Onboard the Soil Moisture Active-Passive Satellite and Evaluation at Core Validation Sites
* 2019: Retrieval of Permafrost Active Layer Properties Using Time-Series P-Band Radar Observations
* 2019: Soil and Vegetation Scattering Contributions in L-Band and P-Band Polarimetric SAR Observations
* 2020: Assessment and Validation of AirMOSS P-Band Root-Zone Soil Moisture Products
* 2020: Retrieving Root-Zone Soil Moisture Profile From P-Band Radar via Hybrid Global and Local Optimization
* 2021: Jointly human semantic parsing and attribute recognition with feature pyramid structure in EfficientNets
* 2021: Validation of Permafrost Active Layer Estimates from Airborne SAR Observations
* 2022: GNSS-R Soil Moisture Retrieval for Flat Vegetated Surfaces Using a Physics-Based Bistatic Scattering Model and Hybrid Global/Local Optimization
* 2023: Improved Geometric Optics with Topography (IGOT) Model for GNSS-R Delay-Doppler Maps Using Three-Scale Surface Roughness
* 2023: Real-Time 3D Microwave Medical Imaging With Enhanced Variational Born Iterative Method
* 2024: Absolute Calibration of a UAV-Mounted Ultra-Wideband Software-Defined Radar Using an External Target in the Near-Field
* 2024: Hat: History-augmented Anchor Transformer for Online Temporal Action Localization
* 2025: Multimodal Assessment of Expertise in AR-Guided Psychomotor Tasks
* 2025: REEF: Relevance-Aware and Efficient LLM Adapter for Video Understanding
Includes: Moghaddam, M. Moghaddam, M.[Mahta] Moghaddam, M.[Mahnaz] Moghaddam, M.[Mohsen]
37 for Moghaddam, M.
Moghaddam, M.E.[Mohsen Ebrahimi]
* 2006: Motion Blur Identification in Noisy Images Using Feed-Forward Back Propagation Neural Network
* 2007: Motion blur identification in noisy images using mathematical models and statistical measures
* 2008: fast indexing and retrieval method for image databases, A
* 2008: non-uniform image compression using genetic algorithm, A
* 2008: Out of focus blur estimation using genetic algorithm
* 2009: Fractal Based Image Watermarking for Authentication and Verification, A
* 2009: Persian Writer Identification Method Based on Gradient Features and Neural Networks, A
* 2010: image contrast enhancement method based on genetic algorithm, An
* 2010: new combining learning method for color constancy, A
* 2011: Neural gray edge: Improving gray edge algorithm using neural network
* 2011: Nonuniform High-quality Image Compression Method To Preserve User-specified Compression Ratio, A
* 2015: Blind Image Quality Assessment Through Wakeby Statistics Model
* 2015: content-based image retrieval system based on Color Ton Distribution descriptors, A
* 2015: two-level classification-based color constancy, A
* 2022: Interpretable ensemble deep learning model for early detection of Alzheimer's disease using local interpretable model-agnostic explanations
* 2023: generalizable approach based on the U-Net model for automatic intraretinal cyst segmentation in SD-OCT images, A
* 2026: Privacy-aware knowledge distillation for retinal scans de-identification through adversarial perturbations
Includes: Moghaddam, M.E.[Mohsen Ebrahimi] Moghaddam, M.E.
17 for Moghaddam, M.E.
Moghaddam, M.K.[Mahdi Kazemi]
* 2021: Optimistic Agent: Accurate Graph-Based Value Estimation for More Successful Visual Navigation
* 2022: ForeSI: Success-Aware Visual Navigation Agent
Moghaddam, N.F.[Negin F.]
* 2022: Operational Analysis Ready Radar Backscatter Dataset for the African Continent, An
Moghaddam, P.[Parisa]
* 2021: Machine learning in precision medicine to preserve privacy via encryption
Moghaddam, R.F.[Reza Farrahi]
* 2008: DIAR: Advances in Degradation Modeling and Processing
* 2009: Application of Multi-Level Classifiers and Clustering for Automatic Word Spotting in Historical Document Images
* 2009: Low quality document image modeling and enhancement
* 2009: Markovian clustering for the non-local means image denoising
* 2009: Restoration and Segmentation of Highly Degraded Characters Using a Shape-Independent Level Set Approach and Multi-level Classifiers
* 2009: RSLDI: Restoration of single-sided low-quality document images
* 2009: Unified Framework Based on the Level Set Approach for Segmentation of Unconstrained Double-Sided Document Images Suffering from Bleed-Through, A
* 2010: multi-scale framework for adaptive binarization of degraded document images, A
* 2010: Text extraction from degraded document images
* 2010: Variational Approach to Degraded Document Enhancement, A
* 2011: Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images
* 2011: Non-local adaptive structure tensors: Application to anisotropic diffusion and shock filtering
* 2011: spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images, A
* 2012: Historical Document Binarization Based on Phase Information of Images
* 2012: local linear level set method for the binarization of degraded historical document images, A
* 2012: Real-Time Knowledge-Based Processing of Images: Application of the Online NLPM Method to Perceptual Visual Analysis
* 2012: spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images, A
* 2013: Application of Phase-Based Features and Denoising in Postprocessing and Binarization of Historical Document Images
* 2013: Efficient Ground Truthing Tool for Binarization of Historical Manuscripts, An
* 2013: learning framework for the optimization and automation of document binarization methods, A
* 2013: Unsupervised Ensemble of Experts (EoE) Framework for Automatic Binarization of Document Images
* 2014: Phase-Based Binarization of Ancient Document Images: Model and Applications
* 2015: FSITM: A Feature Similarity Index For Tone-Mapped Images
* 2015: ICDAR 2015 contest on MultiSpectral Text Extraction (MS-TEx 2015)
* 2015: multiple-expert binarization framework for multispectral images, A
* 2017: PSI: Patch-Based Script Identification Using Non-Negative Matrix Factorization
Includes: Moghaddam, R.F.[Reza Farrahi] Moghaddam, R.F. Moghaddam, R.F.[R. Farrahi]
26 for Moghaddam, R.F.
Moghaddam, R.M.[Reza Mohammadi]
* 2024: Deep Learning Test Platform for Maritime Applications: Development of the eM/S Salama Unmanned Surface Vessel and Its Remote Operations Center for Sensor Data Collection and Algorithm Development
Moghaddam, S.H.A.[Sayyed Hamed Alizadeh]
* 2018: Statistical Variable Selection Solution for RFM Ill-Posedness and Overparameterization Problems, A
* 2023: Unsupervised Feature Extraction Using Endmember Extraction and Clustering Algorithms for Dimension Reduction of Hyperspectral Images, An
Moghaddam, V.[Valeh]
* 2024: Digital Emotion Regulation on Social Media
Moghaddam, V.H.[Vahid Hooshmand]
* 2016: New Hermite orthogonal polynomial kernel and combined kernels in Support Vector Machine classifier
Moghaddam, Y.J.[Y. Jouybari]
* 2013: Novel Method for Cloud Detection in MODIS Imagery, A
Moghaddam, Z.[Zia]
* 2009: Deterministic Initialization of Hidden Markov Models for Human Action Recognition
* 2010: Histogram-Based Training Initialisation of Hidden Markov Models for Human Action Recognition
* 2010: Human action recognition with MPEG-7 descriptors and architectures
* 2011: HMM-MIO: An enhanced hidden Markov model for action recognition
* 2011: Robust density modelling using the student's t-distribution for human action recognition
Moghaddamjoo, A.
* 2009: Speckle Suppression in SAR Images Using the 2-D GARCH Model
* 2010: Road Extraction From Satellite Images Using Particle Filtering and Extended Kalman Filtering
Moghaddamzadeh, A.
* 1995: Fuzzy Approach for Smoothing and Edge Detection in Color Images, A
* 1997: Fuzzy Region Growing Approach for Segmentation of Color Images, A
* 1998: Fuzzy-Like Approach for Smoothing and Edge Detection in Color Images
* 2001: Segmentation of Colour Images with Highlights and Shadows Using Fuzzy-like Reasoning
Moghaddasi, M.N.
* 2014: New Magnification Method for RGB Color Images Based on Subpixels Decomposition, A
Moghaddasi, N.[Negar]
* 2024: Process Quality Assurance of Artificial Intelligence in Medical Diagnosis
Moghalles, K.[Khaled]
* 2022: Weakly supervised building semantic segmentation via superpixel-CRF with initial deep seeds guiding
Moghari, M.H.
* 2007: Point-Based Rigid-Body Registration Using an Unscented Kalman Filter
* 2009: Distribution of Fiducial Registration Error in Rigid-Body Point-Based Registration
* 2009: Distribution of Target Registration Error for Anisotropic and Inhomogeneous Fiducial Localization Error
* 2010: Estimation of Optimal Fiducial Target Registration Error in the Presence of Heteroscedastic Noise
* 2010: Understanding the Effect of Bias in Fiducial Localization Error on Point-Based Rigid-Body Registration
* 2011: Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study
Moghim, S.[Sanaz]
* 2025: Identifying and Characterizing Dust-Induced Cirrus Clouds by Synergic Use of Satellite Data
Moghimi, A.[Ali]
* 2019: Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging
* 2020: Application of Google Earth Engine Cloud Computing Platform, Sentinel Imagery, and Neural Networks for Crop Mapping in Canada
* 2020: Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery, A
* 2021: Flood Hazard Mapping Using Fuzzy Logic, Analytical Hierarchy Process, and Multi-Source Geospatial Datasets
* 2021: Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images, A
* 2021: Status and Trends of Wetland Studies in Canada Using Remote Sensing Technology with a Focus on Wetland Classification: A Bibliographic Analysis
* 2022: Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies
* 2022: Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-to-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies
* 2022: Distortion Robust Relative Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Using Image Features
* 2022: Forty Years of Wetland Status and Trends Analyses in the Great Lakes Using Landsat Archive Imagery and Google Earth Engine
* 2023: 3D-ResNet-BiLSTM Model: A Deep Learning Model for County-Level Soybean Yield Prediction with Time-Series Sentinel-1, Sentinel-2 Imagery, and Daymet Data
* 2023: Wetland Mapping in Great Lakes Using Sentinel-1/2 Time-Series Imagery and DEM Data in Google Earth Engine
* 2024: Automated Two-Step Seamline Detection for Generating Large-Scale Orthophoto Mosaics from Drone Images
* 2025: MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data
* 2025: Super-Resolution of Landsat-8 Land Surface Temperature Using Kolmogorov-Arnold Networks with PlanetScope Imagery and UAV Thermal Data
Includes: Moghimi, A.[Ali] Moghimi, A.[Armin] Moghimi, A.
15 for Moghimi, A.
Moghimi, B.
* 2019: Short-Term Prediction of Signal Cycle on an Arterial With Actuated-Uncoordinated Control Using Sparse Time Series Models
Moghimi, M.[Mohammad]
* 2014: Analyzing sedentary behavior in life-logging images
* 2014: Experiments on an RGB-D Wearable Vision System for Egocentric Activity Recognition
* 2014: Recognizing locations with Google Glass: A case study
* 2015: Discriminative Regions: A Substrate for Analyzing Life-Logging Image Sequences
* 2016: Boosted Convolutional Neural Networks
* 2020: Affective Recognition in Dynamic and Interactive Virtual Environments
Includes: Moghimi, M.[Mohammad] Moghimi, M.[Mohammadhossein]
Moghimi, M.K.[Mohammad Kazem]
* 2022: Autonomous UAV-Assisted Distance-Aware Crowd Sensing Platform Using Deep ShuffleNet Transfer Learning, An
* 2023: Crowd Emotion Prediction for Human-Vehicle Interaction Through Modified Transfer Learning and Fuzzy Logic Ranking
* 2023: Reliable Object Recognition Using Deep Transfer Learning for Marine Transportation Systems With Underwater Surveillance
Moghimi, R.
* 2013: Extraction of Accidents Prediction Maps Modeling Hot Spots in Geospatial Information System
Moghimi, S.
* 2015: Facial expression recognition using high order directional derivative local binary patterns
Moghli, A.[Aymen]
* 2024: Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards
Moghnieh, H.
* 2007: Automatic segmentation of cells from microscopic imagery using ellipse detection
Moghtaderi, A.
* 2019: Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention