Dash, A.
* 2016: Look who is not talking: Assessing engagement levels in panel conversations
* 2017: Counting Large Flocks of Birds Using Videos Acquired with Hand-Held Devices
* 2017: Domain Independent Approach to Video Summarization, A
* 2022: Classification of handwritten annotations in mixed-media documents
* 2023: Detecting Underwater Discrete Scatterers in Echograms with Deep Learning-Based Semantic Segmentation
Includes: Dash, A. Dash, A.[Amanda]
Dash, A.K.
* 2018: Air Signature Recognition Using Deep Convolutional Neural Network-Based Sequential Model
Dash, C.S.K.[C. Sanjeev Kumar]
* 2016: Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database
Dash, D.[Denver]
* 2014: Physical querying with multi-modal sensing
* 2020: Approximation Algorithms for Road Coverage Using Wireless Sensor Networks for Moving Objects Monitoring
* 2020: SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
* 2022: Geometric Algorithm for Finding Time-Sensitive Data Gathering Path in Energy Harvesting Sensor Networks
Includes: Dash, D.[Denver] Dash, D. Dash, D.[Dinesh]
Dash, J.
* 2012: Methodologies and Uncertainties in the Use of the Terrestrial Chlorophyll Index for the Sentinel-3 Mission
* 2013: Evaluating the capabilities of Sentinel-2 for quantitative estimation of biophysical variables in vegetation
* 2015: Characterising the Land Surface Phenology of Europe Using Decadal MERIS Data
* 2015: Spatiotemporal Variation in Mangrove Chlorophyll Concentration Using Landsat 8
* 2017: Detection of retinal blood vessels from ophthalmoscope images using morphological approach
* 2017: Fusion of Landsat 8 OLI and Sentinel-2 MSI Data
* 2018: Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories
* 2019: Determining the Start of the Growing Season from MODIS Data in the Indian Monsoon Region: Identifying Available Data in the Rainy Season and Modeling the Varied Vegetation Growth Trajectories
* 2019: Estimating Forest Leaf Area Index and Canopy Chlorophyll Content with Sentinel-2: An Evaluation of Two Hybrid Retrieval Algorithms
* 2020: Sentinel-3 OLCI Terrestrial Chlorophyll Index (OTCI): Algorithm Improvements, Spatiotemporal Consistency and Continuity with the MERIS Archive, The
* 2021: Fiducial Reference Measurements for Vegetation Bio-Geophysical Variables: An End-to-End Uncertainty Evaluation Framework
* 2021: Land surface phenology as indicator of global terrestrial ecosystem dynamics: A systematic review
* 2021: Role of Earth Observation in Achieving Sustainable Agricultural Production in Arid and Semi-Arid Regions of the World, The
* 2021: Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States
* 2022: Assessing the Accuracy of Forest Phenological Extraction from Sentinel-1 C-Band Backscatter Measurements in Deciduous and Coniferous Forests
* 2022: Characterising the Land Surface Phenology of Middle Eastern Countries Using Moderate Resolution Landsat Data
* 2022: Maize Yield Estimation in Intercropped Smallholder Fields Using Satellite Data in Southern Malawi
* 2023: Assessment of Active LiDAR Data and Passive Optical Imagery for Double-Layered Mangrove Leaf Area Index Estimation: A Case Study in Mai Po, Hong Kong
* 2023: Evaluating the Capability of Sentinel-1 Data in the Classification of Canola and Wheat at Different Growth Stages and in Different Years
Includes: Dash, J. Dash, J.[Jadunandan] Dash, J.[Jyotiprava] Dash, J.[Jadunandun] Dash, J.[Jadu]
19 for Dash, J.
Dash, J.K.[Jatindra Kumar]
* 2013: Content-based texture image retrieval using fuzzy class membership
* 2013: Rotation invariant textural feature extraction for image retrieval using eigen value analysis of intensity gradients and multi-resolution analysis
* 2015: Content-based image retrieval using fuzzy class membership and rules based on classifier confidence
* 2022: Exploiting deep and hand-crafted features for texture image retrieval using class membership
Includes: Dash, J.K.[Jatindra Kumar] Dash, J.K.[Jatindra K.]
Dash, J.P.[Jonathan P.]
* 2017: Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak
* 2017: Combining Airborne Laser Scanning and Aerial Imagery Enhances Echo Classification for Invasive Conifer Detection
* 2018: Comparison of high-density LiDAR and satellite photogrammetry for forest inventory
* 2018: UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health
* 2019: Application of remote sensing technologies to identify impacts of nutritional deficiencies on forests
* 2019: Early Detection of Invasive Exotic Trees Using UAV and Manned Aircraft Multispectral and LiDAR Data
* 2020: Detecting and mapping tree seedlings in UAV imagery using convolutional neural networks and field-verified data
7 for Dash, J.P.
Dash, K.S.[Kalyan S]
* 2015: Gestalt configural superiority effect: A complexity paradigm for handwritten numeral recognition
* 2015: Handwritten numeral recognition using non-redundant Stockwell transform and bio-inspired optimal zoning
* 2015: On extraction of features for handwritten Odia numeral recognition in transformed domain
* 2016: BESAC: Binary External Symmetry Axis Constellation for unconstrained handwritten character recognition
Dash, L.
* 1991: Adaptive Contrast Enhancement and De-Enhancement
Dash, M.[Manoranjan]
* 2007: Markov blanket-embedded genetic algorithm for gene selection
* 2013: Automated Tracing of Retinal Blood Vessels Using Graphical Models
* 2021: PPTPF: Privacy-Preserving Trajectory Publication Framework for CDR Mobile Trajectories
Dash, P.[Priyadarshini]
* 2009: Classification of Power Quality Disturbances Using GA Based Optimal Feature Selection
* 2012: Atmospheric Correction and Vicarious Calibration of Oceansat-1 Ocean Color Monitor (OCM) Data in Coastal Case 2 Waters
* 2016: AVHRR GAC SST Reanalysis Version 1 (RAN1)
* 2016: Deterministic Method for Profile Retrievals From Hyperspectral Satellite Measurements, A
* 2018: Maximizing the Information Content of Ill-Posed Space-Based Measurements Using Deterministic Inverse Method
* 2020: Changes in Atmospheric, Meteorological, and Ocean Parameters Associated with the 12 January 2020 Taal Volcanic Eruption
* 2020: Error Estimation of Pathfinder Version 5.3 Level-3C SST Using Extended Triple Collocation Analysis
* 2023: Improving the Accuracy of Land Use and Land Cover Classification of Landsat Data in an Agricultural Watershed
Includes: Dash, P.[Priyadarshini] Dash, P. Dash, P.[Prasanjit] Dash, P.[Padmanava]
8 for Dash, P.
Dash, P.B.[Pandit Byomakesha]
* 2021: Light gradient boosting machine-based phishing webpage detection model using phisher website features of mimic URLs
Dash, P.K.
* 2008: reduced and comprehensible polynomial neural network for classification, A
* 2021: FPGA-based favourite skin colour restoration using improved histogram equalization with variable enhancement degree and ensemble extreme learning machine
Includes: Dash, P.K. Dash, P.K.[Pradipta Kishore]
Dash, P.P.[Prajna Parimita]
* 2011: Evolutionary neural network for noise cancellation in image data
Dash, R.[Ratnakar]
* 2011: Spatial variant motion deblurring of images
* 2016: Shape descriptors-based generalised scheme for handwritten character recognition
* 2020: Automated diagnosis of multi-class brain abnormalities using MRI images: A deep convolutional neural network based method
* 2020: H-WordNet: a holistic convolutional neural network approach for handwritten word recognition
* 2021: Weakly-supervised Joint Anomaly Detection and Classification
Dash, S.
* 2003: JPEG Compression History Estimation for Color Images
* 2006: JPEG Compression History Estimation for Color Images
* 2015: Detection of defects in fabrics using topothesy fractal dimension features
* 2018: Enhancing the Laws filter descriptor on DTCWT coefficients by thresholding approach for texture classification
* 2019: integrative approach for tracking of mobile robot with vision sensor, An
* 2020: CompressNet: Generative Compression at Extremely Low Bitrates
* 2021: Illumination normalized based technique for retinal blood vessel segmentation
* 2021: integrative approach for path planning and tracking of a shape-aware mobile robot in structured environment using vision sensor, An
* 2021: Intelligent computing on time-series data analysis and prediction of COVID-19 pandemics
* 2022: Evaluating and Mitigating Bias in Image Classifiers: A Causal Perspective Using Counterfactuals
* 2023: modified Coye algorithm for retinal vessel segmentation, A
* 2023: multi-view human gait recognition using hybrid whale and gray wolf optimization algorithm with a random forest classifier, A
Includes: Dash, S. Dash, S.[Sujata] Dash, S.[Sonali] Dash, S.[Sabyasachi] Dash, S.[Saloni]
12 for Dash, S.
Dash, S.K.[Sanjit Kumar]
* 2022: Classification of Low-Resolution Satellite Images Using Fractal Augmented Descriptors
* 2022: Comprehensive Evaluation of Gridded L-, C-, and X-Band Microwave Soil Moisture Product over the CZO in the Central Ganga Plains, India, A
Includes: Dash, S.K.[Sanjit Kumar] Dash, S.K.[Saroj Kumar]
Dash, S.R.[Soumya Ranjan]
* 2021: SemIE: Semantically-aware Image Extrapolation
Dash, T.[Tirtharaj]
* 2023: Calibrating Deep Neural Networks using Explicit Regularisation and Dynamic Data Pruning
* 2023: IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification
Dash, T.K.[Tusar Kanti]
* 2021: Detection of COVID-19 from speech signal using bio-inspired based cepstral features
Dashdondog, E.[Erdenebaatar]
* 2024: Aboveground Biomass Estimation and Time Series Analyses in Mongolian Grasslands Utilizing PlanetScope Imagery
Dashinsky, V.[Valentin]
* 2021: Unsupervised 3D Shape Coverage Estimation with Applications to Colonoscopy
* 2022: Estimating Withdrawal Time in Colonoscopies
Dashpurev, B.[Batnyambuu]
* 2020: Monitoring Oil Exploitation Infrastructure and Dirt Roads with Object-Based Image Analysis and Random Forest in the Eastern Mongolian Steppe
Dashpute, A.[Aniket]
* 2023: Thermal Spread Functions (TSF): Physics-Guided Material Classification
Dashtbazi, A.[Arash]
* 2023: High-Resolution Global Moho Model from Combining Gravimetric and Seismic Data by Using Spectral Combination Methods, A
Dashtbozorg, B.[Behdad]
* 2013: Automatic Classification of Retinal Vessels Using Structural and Intensity Information
* 2013: Automatic Estimation of the Arteriolar-to-Venular Ratio in Retinal Images Using a Graph-Based Approach for Artery/Vein Classification
* 2014: Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images, An
* 2015: Assessment of Retinal Vascular Changes Through Arteriolar-to-Venular Ratio Calculation
* 2015: Robust and Fast Vessel Segmentation via Gaussian Derivatives in Orientation Scores
* 2016: Automatic Optic Disc and Fovea Detection in Retinal Images Using Super-Elliptical Convergence Index Filters
* 2016: Brain-inspired algorithms for retinal image analysis
* 2016: Robust Retinal Vessel Segmentation via Locally Adaptive Derivative Frames in Orientation Scores
* 2017: Retinal vessel delineation using a brain-inspired wavelet transform and random forest
* 2018: Artery/vein classification using reflection features in retina fundus images
* 2018: Retinal Microaneurysms Detection Using Local Convergence Index Features
11 for Dashtbozorg, B.
Dashti, H.[Hamid]
* 2019: Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach
Dashtipour, K.[Kia]
* 2022: Synchronization of Monostatic Radar Using a Time-Delayed Chaos-Based FM Waveform
Dashtipur, K.[Kia]
* 2022: COVID-opt-aiNet: A clinical decision support system for COVID-19 detection
Dashzebeg, G.[Ganbat]
* 2022: Detection of Larch Forest Stress from Jas's Larch Inchworm (Erannis jacobsoni Djak) Attack Using Hyperspectral Remote Sensing