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09/09/2021
OpenClinicalAI: enabling AI to diagnose diseases in real-world clinical settings
This paper quantitatively reveals the state-of-the-art and state-of-the-...
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08/01/2019
LoadCNN: A Efficient Green Deep Learning Model for Day-ahead Individual Resident Load Forecasting
Accurate day-ahead individual resident load forecasting is very importan...
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05/15/2019
EasiCS: the objective and fine-grained classification method of cervical spondylosis dysfunction
The precise diagnosis is of great significance in developing precise tre...
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05/08/2019
A new direction to promote the implementation of artificial intelligence in natural clinical settings
Artificial intelligence (AI) researchers claim that they have made great...
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12/12/2018
EasiCSDeep: A deep learning model for Cervical Spondylosis Identification using surface electromyography signal
Cervical spondylosis (CS) is a common chronic disease that affects up to...
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11/26/2018
Clustering Residential Electricity Load Curves via Community Detection in Network
Performing analytic of household load curves (LCs) has significant value...
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02/10/2018
A veracity preserving model for synthesizing scalable electricity load profiles
Electricity users are the major players of the electric systems, and ele...
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11/16/2017