AIMC Topic: Neural Networks, Computer

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Quantitative estimation of soil properties using hybrid features and RNN variants.

Chemosphere
Estimating soil properties is important for maximizing the production of crops in sustainable agriculture. The hyperspectral data next input depends upon the previous one, and the current techniques do not take advantage of this sequential nature of ...

Automatic measurement plane placement for 4D Flow MRI of the great vessels using deep learning.

International journal of computer assisted radiology and surgery
PURPOSE: Despite the great potential and flexibility of 4D flow MRI for hemodynamic analysis, a major limitation is the need for time-consuming and user-dependent post-processing. We propose a fast four-step algorithm for rapid, robust, and repeatabl...

Machine Learning-Enabled Pipeline for Large-Scale Virtual Drug Screening.

Journal of chemical information and modeling
Virtual screening is receiving renewed attention in drug discovery, but progress is hampered by challenges on two fronts: handling the ever-increasing sizes of libraries of drug-like compounds and separating true positives from false positives. Here,...

A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm.

Sensors (Basel, Switzerland)
The development of deep learning provides a new research method for fault diagnosis. However, in the industrial field, the labeled samples are insufficient and the noise interference is strong so that raw data obtained by the sensor are occupied with...

PYTHIA: Deep Learning Approach for Local Protein Conformation Prediction.

International journal of molecular sciences
Protein Blocks (PBs) are a widely used structural alphabet describing local protein backbone conformation in terms of 16 possible conformational states, adopted by five consecutive amino acids. The representation of complex protein 3D structures as 1...

English Grammar Detection Based on LSTM-CRF Machine Learning Model.

Computational intelligence and neuroscience
Deep learning and neural network have been widely used in the field of speech, vocabulary, text, pictures, and other information processing fields, which has achieved excellent research results. Neural network algorithm and prediction model were used...

Information System Security Evaluation Algorithm Based on PSO-BP Neural Network.

Computational intelligence and neuroscience
With the deepening of big data and the development of information technology, the country, enterprises, organizations, and even individuals are more and more dependent on the information system. In recent years, all kinds of network attacks emerge in...

Optimization and Simulation of Manuscript Management System Based on Fuzzy Genetic Neural Network.

Computational intelligence and neuroscience
Manuscript management plays an important role in the whole periodical industry. Journals and magazine society receive different types of contribution documents from all over the world. Many submission files are mostly transmitted by e-mail, but there...

Prediction Model of Hot Metal Silicon Content Based on Improved GA-BPNN.

Computational intelligence and neuroscience
The inconsistency of the detection period of blast furnace data and the large time delay of key parameters make the prediction of the hot metal silicon content face huge challenges. Aiming at the problem that the hot metal silicon content is not cons...