Results 11 to 20 of about 3,970,331 (279)
Groundwater Prediction Using Machine-Learning Tools
Algorithms, 2020 Predicting groundwater availability is important to water sustainability and drought mitigation. Machine-learning tools have the potential to improve groundwater prediction, thus enabling resource planners to: (1) anticipate water quality in unsampled ...
Eslam A. Hussein +4 more
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MMST: A Multi-Modal Ground-Based Cloud Image Classification Method
Sensors, 2023 In recent years, convolutional neural networks have been in the leading position for ground-based cloud image classification tasks. However, this approach introduces too much inductive bias, fails to perform global modeling, and gradually tends to ...
Liang Wei +3 more
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A Novel Method for Ground-Based Cloud Image Classification Using Transformer
Remote Sensing, 2022 In recent years, convolutional neural networks (CNNs) have achieved competitive performance in the field of ground-based cloud image (GCI) classification. Proposed CNN-based methods can fully extract the local features of images.
Xiaotong Li +4 more
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Identifying Field Crop Diseases Using Transformer-Embedded Convolutional Neural Network
Agriculture, 2022 The yield and security of grain are seriously infringed on by crop diseases, which are the critical factor hindering the green and high-quality development of agriculture.
Weidong Zhu +5 more
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Visible Infrared Person Re-Identification via Global-Level and Local-Level Constraints
IEEE Access, 2021 Visible infrared person re-identification (VI-ReID) is an extremely challenging task. VI-ReID suffers from two challenges. One is the cross-modality discrepancy due to different camera spectrums, the other is the intra-modality variation caused by the ...
Tianqi Zhang +4 more
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Making Sense of Neuromorphic Event Data for Human Action Recognition
IEEE Access, 2021 Neuromorphic vision sensors provide low power sensing and capture salient spatial-temporal events. The majority of the existing neuromorphic sensing work focus on object detection.
Salah Al-Obaidi +2 more
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Nested Normalizations for Decoupling Global Features [PDF]
2018 25th IEEE International Conference on Image Processing (ICIP), 2018 2018 IEEE International Conference on Image Processing. October 7-10, 2018 .Athens, Greece. .-https://2018.ieeeicip.org/ Global features of signals are usually coupled, in the sense that not every combination of features' values is mathematically possible.
Portilla, Javier +1 more
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IEEE Access, 2020 To eliminate the false alarms in the ship target detection effectively for synthetic aperture radar (SAR) images in complex scenes, this article present a novel ship target discrimination algorithm based on bag of words (BOW) model with multiple features
Shiyuan Chen +4 more
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Remote Sensing, 2023 The rapid development of Earth observation technology has promoted the continuous accumulation of images in the field of remote sensing. However, a large number of remote sensing images still lack manual annotations of objects, which makes the strongly ...
Bin Wang +5 more
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Global Feature Pyramid Network
, 2023 dataset not ...
Xiao, Weilin, Xu, Ming, Lin, Yonggui
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