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Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network
Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network
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Investigation of spatiotemporal distribution and formation mechanisms of ozone pollution in eastern Chinese cities applying convolutional neural network

Wang, Qiaoli ; Sheng, Dongping ; Wu, Chengzhi ; Ou, Xiaojie ; Yao, Shengdong ; Zhao, Jingkai ; Li, Feili ; Li, Wei ; Chen, Jianmeng

Journal of environmental sciences (China), 2025-02, Vol.148, p.126-138 [Periódico revisado por pares]

Elsevier B.V

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2
Deep object segmentation and classification networks for building damage detection using the xBD dataset
Deep object segmentation and classification networks for building damage detection using the xBD dataset
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Deep object segmentation and classification networks for building damage detection using the xBD dataset

Zhao, Zongze ; Wang, Fenglei ; Chen, Shiyu ; Wang, Hongtao ; Cheng, Gang

International journal of digital earth, 2024-12, Vol.17 (1) [Periódico revisado por pares]

Taylor & Francis Group

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3
A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data
A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data
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A multiscale feature fusion enhanced CNN with the multiscale channel attention mechanism for efficient landslide detection (MS2LandsNet) using medium-resolution remote sensing data

Lu, Wei ; Hu, Yunfeng ; Shao, Wei ; Wang, Hao ; Zhang, Zuopei ; Wang, Mingyan

International journal of digital earth, 2024-12, Vol.17 (1) [Periódico revisado por pares]

Taylor & Francis Group

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4
Prediction of transient emission characteristic from diesel engines based on CNN-GRU model optimized by PSO algorithm
Prediction of transient emission characteristic from diesel engines based on CNN-GRU model optimized by PSO algorithm
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Prediction of transient emission characteristic from diesel engines based on CNN-GRU model optimized by PSO algorithm

Liao, Jianxiong ; Hu, Jie ; Chen, Peng ; Wu, Hanming ; Wang, Maoxuan ; Shao, Yuankai ; Li, Zhenguo

Energy sources. Part A, Recovery, utilization, and environmental effects, 2024-12, Vol.46 (1), p.1800-1818 [Periódico revisado por pares]

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5
Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model
Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model
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Mapping invasive noxious weed species in the alpine grassland ecosystems using very high spatial resolution UAV hyperspectral imagery and a novel deep learning model

Fei Xing ; Ru An ; Xulin Guo ; Xiaoji Shen

GIScience and remote sensing, 2024-12, Vol.61 (1) [Periódico revisado por pares]

Taylor & Francis Group

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6
Mudslide susceptibility assessment based on a two-channel residual network
Mudslide susceptibility assessment based on a two-channel residual network
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Mudslide susceptibility assessment based on a two-channel residual network

Ruohao Yuan ; Yumeng Luo ; Fanshu Xu ; Xu Wang ; Cunxi Liu ; Baoyun Wang

Geomatics, natural hazards and risk, 2024-12, Vol.15 (1) [Periódico revisado por pares]

Taylor & Francis Group

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7
A regularized volumetric ConvNet based Alzheimer detection using T1-weighted MRI images
A regularized volumetric ConvNet based Alzheimer detection using T1-weighted MRI images
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A regularized volumetric ConvNet based Alzheimer detection using T1-weighted MRI images

Nitika Goenka ; Akhilesh Kumar Sharma ; Shamik Tiwari ; Nagendra Singh ; Vyom Yadav ; Srikanth Prabhu ; Krishnaraj Chadaga

Cogent engineering, 2024-12, Vol.11 (1) [Periódico revisado por pares]

Taylor & Francis Group

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8
Short-term power load forecasting using SSA-CNN-LSTM method
Short-term power load forecasting using SSA-CNN-LSTM method
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Short-term power load forecasting using SSA-CNN-LSTM method

Yonggang Wang ; Yue Hao ; Biying Zhang ; Nannan Zhang

Systems science & control engineering, 2024-12, Vol.12 (1) [Periódico revisado por pares]

Taylor & Francis Group

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9
Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks
Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks
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Automated histopathological detection and classification of lung cancer with an image pre-processing pipeline and spatial attention with deep neural networks

Tushar Nayak ; Nitila Gokulkrishnan ; Krishnaraj Chadaga ; Niranjana Sampathila ; Hilda Mayrose ; Swathi K. S.

Cogent engineering, 2024-12, Vol.11 (1) [Periódico revisado por pares]

Taylor & Francis Group

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10
An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features
An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features
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An integrated neural network method for landslide susceptibility assessment based on time-series InSAR deformation dynamic features

He, Yi ; Zhao, Zhan’ao ; Zhu, Qing ; Liu, Tao ; Zhang, Qing ; Yang, Wang ; Zhang, Lifeng ; Wang, Qiang

International journal of digital earth, 2024-12, Vol.17 (1) [Periódico revisado por pares]

Taylor & Francis Group

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Deste Autor:

  1. Hirata, N
  2. Bruno, O
  3. Condori, R
  4. Tinós, R
  5. Mello, R

Neste Assunto:

  1. Science & Technology
  2. Technology
  3. Convolutional Neural Network
  4. Engineering
  5. Computer Science

  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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