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A numerical control machining tool path step error prediction method based on BP neural network

Scientific reports, 2023-09, Vol.13 (1), p.16347-16347, Article 16347

2023

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Improved protein structure prediction using potentials from deep learning

Nature (London), 2020-01, Vol.577 (7792), p.706-710

2020

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Protein structure accuracy estimation using geometry‐complete perceptron networks

Protein science, 2024-03, Vol.33 (3), p.e4932-n/a

2024

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Accurate medium-range global weather forecasting with 3D neural networks

Nature (London), 2023-07, Vol.619 (7970), p.533-538

2023

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1823-PUB: Expanded Dataset Improves Accuracy of Wrist-Worn Noninvasive BGM Using AI

Diabetes (New York, N.Y.), 2023-06, Vol.72 (Supplement_1), p.1

2023

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Inverse design of plasmonic metasurfaces by convolutional neural network

Optics letters, 2020-03, Vol.45 (6), p.1362-1365

2020

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Accuracy-diversity trade-off in recommender systems via graph convolutions

Information processing & management, 2021-03, Vol.58 (2), p.102459, Article 102459

2021

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Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

IEEE transactions on geoscience and remote sensing, 2019-01, Vol.57 (1), p.574-586

2019

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Statistical and Machine Learning forecasting methods: Concerns and ways forward

PloS one, 2018-03, Vol.13 (3), p.e0194889-e0194889

2018

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A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

Sensors (Basel, Switzerland), 2017-02, Vol.17 (2), p.425-425

2017

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Fermionic neural-network states for ab-initio electronic structure

Nature communications, 2020-05, Vol.11 (1), p.2368-2368, Article 2368

2020

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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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Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network

Energy (Oxford), 2018-05, Vol.151, p.875-888

2018

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Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Computers in biology and medicine, 2021-05, Vol.132, p.104319-104319, Article 104319

2021

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OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy

The Journal of chemical physics, 2021-11, Vol.155 (20), p.204103-204103

2021

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A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms

Remote sensing of environment, 2021-11, Vol.265, p.112652, Article 112652

2021

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A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches

Computer methods in applied mechanics and engineering, 2021-09, Vol.383, p.113933, Article 113933

2021

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Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

IEEE transactions on geoscience and remote sensing, 2017-02, Vol.55 (2), p.881-893

2017

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IEEE_Xplore

An efficient convolutional neural network for coronary heart disease prediction

Expert systems with applications, 2020-11, Vol.159, p.113408, Article 113408

2020

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Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

IEEE transaction on neural networks and learning systems, 2018-11, Vol.29 (11), p.5784-5789

2018

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Scaling Vision Transformers

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, p.1204-1213

2022

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Identification of plant leaf diseases using a nine-layer deep convolutional neural network

Computers & electrical engineering, 2019-06, Vol.76, p.323-338

2019

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A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score

Entropy (Basel, Switzerland), 2020-12, Vol.22 (12), p.1412

2020

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Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data

Energy and buildings, 2020-09, Vol.223, p.110156, Article 110156

2020

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Artificial intelligence-enhanced quantum chemical method with broad applicability

Nature communications, 2021-12, Vol.12 (1), p.7022-7022, Article 7022

2021

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A numerical control machining tool path step error prediction method based on BP neural network

Improved protein structure prediction using potentials from deep learning

Protein structure accuracy estimation using geometry‐complete perceptron networks

Accurate medium-range global weather forecasting with 3D neural networks

1823-PUB: Expanded Dataset Improves Accuracy of Wrist-Worn Noninvasive BGM Using AI

Inverse design of plasmonic metasurfaces by convolutional neural network

Accuracy-diversity trade-off in recommender systems via graph convolutions

Fully Convolutional Networks for Multisource Building Extraction From an Open Aerial and Satellite Imagery Data Set

Statistical and Machine Learning forecasting methods: Concerns and ways forward

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

Fermionic neural-network states for ab-initio electronic structure

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

Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

OrbNet Denali: A machine learning potential for biological and organic chemistry with semi-empirical cost and DFT accuracy

A CNN-based approach for the estimation of canopy heights and wood volume from GEDI waveforms

A physics-guided neural network framework for elastic plates: Comparison of governing equations-based and energy-based approaches

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

An efficient convolutional neural network for coronary heart disease prediction

Ristretto: A Framework for Empirical Study of Resource-Efficient Inference in Convolutional Neural Networks

Scaling Vision Transformers

Identification of plant leaf diseases using a nine-layer deep convolutional neural network

A Systematic Review of Statistical and Machine Learning Methods for Electrical Power Forecasting with Reported MAPE Score

Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data

Artificial intelligence-enhanced quantum chemical method with broad applicability

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