AIMC Topic: Neural Networks, Computer

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Dynamic Evolution Analysis of Desertification Images Based on BP Neural Network.

Computational intelligence and neuroscience
In recent years, with the rise of artificial intelligence, deep neural network models have been used in various image recognition researches. Land desertification is a major environmental problem facing the world at present, and how to do a good job ...

Design of Fault Prediction System for Electromechanical Sensor Equipment Based on Deep Learning.

Computational intelligence and neuroscience
With the increasing complexity, scale, and intelligentization of modern equipment, the maintenance cost of equipment is increasing day by day. Moreover, once an unexpected major failure occurs, it will cause loss and damage to production, economy, an...

Diagnosis System of Microscopic Hyperspectral Image of Hepatobiliary Tumors Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Hepatobiliary tumor is one of the common tumors and cancers in medicine, which seriously affects people's lives, so how to accurately diagnose it is a very serious problem. This article mainly studies a diagnostic method of microscopic images of live...

Preservation of Autologous Brachiocephalic Vessels with Assistance of Three-Dimensional Printing Based on Convolutional Neural Networks.

Computational and mathematical methods in medicine
BACKGROUND: Preservation of autologous brachiocephalic vessels in Stanford type A aortic dissection has good short-time outcomes. However, getting access to the details is not easy by conventional examination methods. This study is aimed at reconstru...

Signed random walk diffusion for effective representation learning in signed graphs.

PloS one
How can we model node representations to accurately infer the signs of missing edges in a signed social graph? Signed social graphs have attracted considerable attention to model trust relationships between people. Various representation learning met...

STA-TSN: Spatial-Temporal Attention Temporal Segment Network for action recognition in video.

PloS one
Most deep learning-based action recognition models focus only on short-term motions, so the model often causes misjudgments of actions that are combined by multiple processes, such as long jump, high jump, etc. The proposal of Temporal Segment Networ...

Construction of an end-to-end regression neural network for the determination of a quantitative index sagittal root inclination.

Journal of periodontology
BACKGROUND: Immediate implant placement in the esthetic area requires comprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-driven measurements of quantitative indexes depend on segmentation or landmark dete...

Classification of Ear Imagery Database using Bayesian Optimization based on CNN-LSTM Architecture.

Journal of digital imaging
The external and middle ear conditions are diagnosed using a digital otoscope. The clinical diagnosis of ear conditions is suffered from restricted accuracy due to the increased dependency on otolaryngologist expertise, patient complaint, blurring of...

Learning a discriminative SPD manifold neural network for image set classification.

Neural networks : the official journal of the International Neural Network Society
Performing pattern analysis over the symmetric positive definite (SPD) manifold requires specific mathematical computations, characterizing the non-Euclidian property of the involved data points and learning tasks, such as the image set classificatio...

Laser tweezers Raman spectroscopy combined with deep learning to classify marine bacteria.

Talanta
Rapid identification of marine microorganisms is critical in marine ecology, and Raman spectroscopy is a promising means to achieve this. Single cell Raman spectra contain the biochemical profile of a cell, which can be used to identify cell phenotyp...