AIMC Topic: Neural Networks, Computer

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Artificial intelligence based optimization with deep learning model for blockchain enabled intrusion detection in CPS environment.

Scientific reports
Cyber physical system (CPS) is a network of cyber and physical elements, which interact with one another in a feedback form. CPS approves critical infrastructure and is treated as essential in day to day since it forms the basis of futuristic smart d...

A dynamic AES cryptosystem based on memristive neural network.

Scientific reports
This paper proposes an advanced encryption standard (AES) cryptosystem based on memristive neural network. A memristive chaotic neural network is constructed by using the nonlinear characteristics of a memristor. A chaotic sequence, which is sensitiv...

High-throughput image-based plant stand count estimation using convolutional neural networks.

PloS one
The landscape of farming and plant breeding is rapidly transforming due to the complex requirements of our world. The explosion of collectible data has started a revolution in agriculture to the point where innovation must occur. To a commercial orga...

Volatility forecasts of stock index futures in China and the US-A hybrid LSTM approach.

PloS one
This paper is concerned with the unsolved issue of how to accurately predict the financial market volatility. We propose a novel volatility prediction method for stock index futures prediction based on LSTM, PCA, stock indices and relevant futures. I...

A Two-Stream Graph Convolutional Network Based on Brain Connectivity for Anesthetized States Analysis.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Investigating neural mechanisms of anesthesia process and developing efficient anesthetized state detection methods are especially on high demand for clinical consciousness monitoring. Traditional anesthesia monitoring methods are not involved with t...

A Novel Deep-Learning Model Compression Based on Filter-Stripe Group Pruning and Its IoT Application.

Sensors (Basel, Switzerland)
Nowadays, there is a tradeoff between the deep-learning module-compression ratio and the module accuracy. In this paper, a strategy for refining the pruning quantification and weights based on neural network filters is proposed. Firstly, filters in t...

Standardizing continuous data classifications in a virtual T-maze using two-layer feedforward networks.

Scientific reports
There continues to be difficulties when it comes to replication of studies in the field of Psychology. In part, this may be caused by insufficiently standardized analysis methods that may be subject to state dependent variations in performance. In th...

Graph-enhanced U-Net for semi-supervised segmentation of pancreas from abdomen CT scan.

Physics in medicine and biology
. Accurate segmentation of the pancreas from abdomen CT scans is highly desired for diagnosis and treatment follow-up of pancreatic diseases. However, the task is challenged by large anatomical variations, low soft-tissue contrast, and the difficulty...

Prediction of Metabolic Characteristics of Cardiovascular and Cerebrovascular Diseases Based on Convolutional Neural Network.

Computational and mathematical methods in medicine
As a typical disease, cardiovascular and cerebrovascular diseases cause great damage to the human body. In view of the problem that the existing models failed to describe and represent the characteristics of cardiovascular and cerebrovascular indicat...

Is attention branch network effective in classifying dental implants from panoramic radiograph images by deep learning?

PloS one
Attention mechanism, which is a means of determining which part of the forced data is emphasized, has attracted attention in various fields of deep learning in recent years. The purpose of this study was to evaluate the performance of the attention b...