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Using Artificial Intelligence Techniques to Improve the Prediction of Copper Recovery by Leaching

Journal of sensors, 2020, Vol.2020 (2020), p.1-12

2020

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Heterogeneous Gray-Temperature Fusion-Based Deep Learning Architecture for Far Infrared Small Target Detection

Journal of sensors, 2019, Vol.2019 (2019), p.1-15

2019

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U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

IEEE access, 2021, Vol.9, p.82031-82057

2021

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Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Sensors (Basel, Switzerland), 2019-03, Vol.19 (6), p.1284

2019

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Location Fixing and Fingerprint Matching Fingerprint Map Construction for Indoor Localization

Journal of sensors, 2020, Vol.2020 (2020), p.1-14

2020

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Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data

Journal of sensors, 2019-01, Vol.2019 (2019), p.1-10

2019

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Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation

Journal of sensors, 2019, Vol.2019 (2019), p.1-11

2019

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Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1357

2020

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Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning

ISPRS journal of photogrammetry and remote sensing, 2021-04, Vol.174, p.265-281

2021

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A State-of-the-Art Survey on Deep Learning Theory and Architectures

Electronics (Basel), 2019-03, Vol.8 (3), p.292

2019

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UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

Remote sensing (Basel, Switzerland), 2019-02, Vol.11 (3), p.330

2019

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Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1503

2018

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Deep-Learning-Incorporated Augmented Reality Application for Engineering Lab Training

Applied sciences, 2022-05, Vol.12 (10), p.5159

2022

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Trends in Deep Learning for Medical Hyperspectral Image Analysis

IEEE access, 2021, Vol.9, p.79534-79548

2021

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Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.740

2019

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A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset

IEEE access, 2023-01, Vol.11, p.1-1

2023

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Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology

Remote sensing (Basel, Switzerland), 2020-10, Vol.12 (19), p.3216

2020

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Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks

Computational intelligence and neuroscience, 2018-01, Vol.2018 (2018), p.1-13

2018

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Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning

IEEE access, 2022, Vol.10, p.16859-16870

2022

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Soybean yield prediction from UAV using multimodal data fusion and deep learning

Remote sensing of environment, 2020-02, Vol.237, p.111599, Article 111599

2020

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Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing

Earth-science reviews, 2020-06, Vol.205, p.103187, Article 103187

2020

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Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges

Expert systems with applications, 2022-11, Vol.207, p.118002, Article 118002

2022

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Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

Remote sensing of environment, 2021-07, Vol.260, p.112434, Article 112434

2021

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Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis

ISPRS journal of photogrammetry and remote sensing, 2018-12, Vol.146, p.161-181

2018

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Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

ISPRS journal of photogrammetry and remote sensing, 2017-12, Vol.134, p.43-58

2017

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Using Artificial Intelligence Techniques to Improve the Prediction of Copper Recovery by Leaching

Heterogeneous Gray-Temperature Fusion-Based Deep Learning Architecture for Far Infrared Small Target Detection

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning

Location Fixing and Fingerprint Matching Fingerprint Map Construction for Indoor Localization

Vision-Based Deep Q-Learning Network Models to Predict Particulate Matter Concentration Levels Using Temporal Digital Image Data

Improved Capacitive Proximity Detection for Conductive Objects through Target Profile Estimation

Crop Monitoring Using Satellite/UAV Data Fusion and Machine Learning

Field-scale crop yield prediction using multi-temporal WorldView-3 and PlanetScope satellite data and deep learning

A State-of-the-Art Survey on Deep Learning Theory and Architectures

UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras

Suspended Sediment Concentration Estimation from Landsat Imagery along the Lower Missouri and Middle Mississippi Rivers Using an Extreme Learning Machine

Deep-Learning-Incorporated Augmented Reality Application for Engineering Lab Training

Trends in Deep Learning for Medical Hyperspectral Image Analysis

Dual Activation Function-Based Extreme Learning Machine (ELM) for Estimating Grapevine Berry Yield and Quality

A Non-Reference Evaluation of Underwater Image Enhancement Methods Using a New Underwater Image Dataset

Leveraging Very-High Spatial Resolution Hyperspectral and Thermal UAV Imageries for Characterizing Diurnal Indicators of Grapevine Physiology

Handwritten Bangla Character Recognition Using the State-of-the-Art Deep Convolutional Neural Networks

Jamming Detection and Classification in OFDM-Based UAVs via Feature- and Spectrogram-Tailored Machine Learning

Soybean yield prediction from UAV using multimodal data fusion and deep learning

Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing

Augmented Reality and Artificial Intelligence in industry: Trends, tools, and future challenges

Estimation of root zone soil moisture from ground and remotely sensed soil information with multisensor data fusion and automated machine learning

Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

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