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Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies

Sensors (Basel, Switzerland), 2021-04, Vol.21 (7), p.2430

2021

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Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications

1st, 2023

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Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests

Remote sensing (Basel, Switzerland), 2023-03, Vol.15 (5), p.1394

2023

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Automated discretization of 'transpiration restriction to increasing VPD' features from outdoors high-throughput phenotyping data

Plant methods, 2020-10, Vol.16 (1), p.140-140, Article 140

2020

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SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data

Frontiers in plant science, 2020-11, Vol.11, p.552509-552509

2020

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Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition

Signal processing, 2023-12, Vol.213, p.109194, Article 109194

2023

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Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation

Computers and electronics in agriculture, 2017-06, Vol.138, p.175-187

2017

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Intelligent Approaches to Cyber Security

First edition, 2024

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An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data

Computers and electronics in agriculture, 2021-03, Vol.182, p.105992, Article 105992

2021

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Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer

Remote sensing of environment, 2007-03, Vol.107 (1), p.348-361

2007

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High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

Remote sensing of environment, 2017-12, Vol.202, p.28-44

2017

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Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

IEEE journal of selected topics in applied earth observations and remote sensing, 2017-01, Vol.10 (1), p.29-44

2017

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Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

ISPRS international journal of geo-information, 2021-01, Vol.10 (1), p.32

2021

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A Machine Learning Based Spatio-Temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico

IEEE journal of selected topics in applied earth observations and remote sensing, 2011-09, Vol.4 (3), p.710-720

2011

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Semantics and High Performance Computing Driven Approaches for Enhanced Exploitation of Earth Observation (EO) Data: State of the Art

National Academy of Sciences, India. Proceedings. Section A. Physical Sciences, 2017-12, Vol.87 (4), p.519-539

2017

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Semantics-enabled framework for knowledge discovery from Earth observation data archives

IEEE transactions on geoscience and remote sensing, 2005-11, Vol.43 (11), p.2563-2572

2005

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IEEE_Xplore

Data-Driven Transform Based Adaptive Compressive Sensing Framework for 3D Reconstruction of Forests

Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, p.133-141

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Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms

IEEE geoscience and remote sensing letters, 2012-09, Vol.9 (5), p.827-831

2012

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IEEE_Xplore

Nutrient fertilizer requirements for sustainable biomass supply to meet U.S. bioenergy goal

Biomass & bioenergy, 2011, Vol.35 (1), p.253-262

2011

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Wrapper-Based Feature Subset Selection for Rapid Image Information Mining

IEEE geoscience and remote sensing letters, 2010-01, Vol.7 (1), p.43-47

2010

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IEEE_Xplore

Standards-Based Middleware and Tools for Coastal Sensor Web Applications

IEEE journal of selected topics in applied earth observations and remote sensing, 2010-12, Vol.3 (4), p.451-466

2010

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Adaptive Pareto-based approach for geo-ontology matching

Computers & geosciences, 2018-10, Vol.119, p.92-108

2018

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Feature Identification via a Combined ICA-Wavelet Method for Image Information Mining

IEEE geoscience and remote sensing letters, 2010-01, Vol.7 (1), p.18-22

2010

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IEEE_Xplore

Unmasking Devastation: Near Real-time Earthquake-induced Building Damage Detection

2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS), 2023, p.1-4

2023

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Deep Reinforcement Learning Driven Critical Infrastructure Protection During Extreme Events

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023, p.2540-2543

2023

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IEEE_Xplore

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Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies

Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications

Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests

Automated discretization of 'transpiration restriction to increasing VPD' features from outdoors high-throughput phenotyping data

SpaTemHTP: A Data Analysis Pipeline for Efficient Processing and Utilization of Temporal High-Throughput Phenotyping Data

Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition

Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation

Intelligent Approaches to Cyber Security

An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data

Support vector machines regression for retrieval of leaf area index from multiangle imaging spectroradiometer

High performance GPU computing based approaches for oil spill detection from multi-temporal remote sensing data

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions

A Machine Learning Based Spatio-Temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico

Semantics and High Performance Computing Driven Approaches for Enhanced Exploitation of Earth Observation (EO) Data: State of the Art

Semantics-enabled framework for knowledge discovery from Earth observation data archives

Data-Driven Transform Based Adaptive Compressive Sensing Framework for 3D Reconstruction of Forests

Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms

Nutrient fertilizer requirements for sustainable biomass supply to meet U.S. bioenergy goal

Wrapper-Based Feature Subset Selection for Rapid Image Information Mining

Standards-Based Middleware and Tools for Coastal Sensor Web Applications

Adaptive Pareto-based approach for geo-ontology matching

Feature Identification via a Combined ICA-Wavelet Method for Image Information Mining

Unmasking Devastation: Near Real-time Earthquake-induced Building Damage Detection

Deep Reinforcement Learning Driven Critical Infrastructure Protection During Extreme Events

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