Early Warning Method for Public Health Emergency Under Artificial Neural Network in the Context of Deep Learning [PDF]
Shuang Zheng, Xiaomei Hu
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Modeling, analysis, and optimization of dimensional accuracy of FDM-fabricated parts using definitive screening design and deep learning feedforward artificial neural network [PDF]
Omar Ahmed Mohamed +2 more
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The use of MRI analysis for BTD and tumor type detection has considerable importance within the domain of machine vision. Numerous methodologies have been proposed to address this issue, and significant progress has been achieved in this domain via the ...
Jianhong Ye +5 more
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Deep Learning Methods Used in Precision Agriculture [PDF]
Precision agriculture is an important field that aims to optimize crop yields and quality, and it is crucial for ensuring food security and sustainability.
Wang Yuchu
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Protein Secondary Structure Prediction Using Cascaded Convolutional and Recurrent Neural Networks
Protein secondary structure prediction is an important problem in bioinformatics. Inspired by the recent successes of deep neural networks, in this paper, we propose an end-to-end deep network that predicts protein secondary structures from integrated ...
Li, Zhen, Yu, Yizhou
core
Artificial Neural Networks and Deep Learning for Genomic Prediction of Binary, Ordinal, and Mixed Outcomes [PDF]
Osval A. Montesinos‐López +2 more
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DEEP LEARNING PREDICTION OF ADVERSE DRUG REACTION ANALYSIS USING ARTIFICIAL NEURAL NETWORK MODEL
M.C.A. Mrs. K.E. Eswari, R. Sarathkumar
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SciANN: A Keras/TensorFlow wrapper for scientific computations and physics-informed deep learning using artificial neural networks [PDF]
Ehsan Haghighat, Rubén Juanes
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Artificial Intelligence in Ship Trajectory Prediction
Maritime traffic is increasing more and more, creating more complex navigation environments for ships. Ship trajectory prediction based on historical AIS data is a vital method of reducing navigation risks and enhancing the efficiency of maritime traffic
Jinqiang Bi +4 more
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Fault Prediction and Diagnosis of Power Electronic Systems in Smart Grids [PDF]
With the rapid development of smart grids, the stability and reliability of power electronic systems have become key challenges. Traditional fault diagnosis methods are difficult to deal with the complex and changeable operating environment and massive ...
Jia Lingan
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