AIMC Topic: Neural Networks, Computer

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Phase recognition in contrast-enhanced CT scans based on deep learning and random sampling.

Medical physics
PURPOSE: A fully automated system for interpreting abdominal computed tomography (CT) scans with multiple phases of contrast enhancement requires an accurate classification of the phases. Current approaches to classify the CT phases are commonly base...

Introduction of an artificial neural network-based method for concentration-time predictions.

CPT: pharmacometrics & systems pharmacology
Pharmacometrics and the application of population pharmacokinetic (PK) modeling play a crucial role in clinical pharmacology. These methods, which describe data with well-defined equations and estimate physiologically interpretable parameters, have n...

Application of Convolutional Neural Network (CNN) to Recognize Ship Structures.

Sensors (Basel, Switzerland)
The purpose of this paper is to study the recognition of ships and their structures to improve the safety of drone operations engaged in shore-to-ship drone delivery service. This study has developed a system that can distinguish between ships and th...

Real-Time Vehicle Classification and Tracking Using a Transfer Learning-Improved Deep Learning Network.

Sensors (Basel, Switzerland)
Accurate vehicle classification and tracking are increasingly important subjects for intelligent transport systems (ITSs) and for planning that utilizes precise location intelligence. Deep learning (DL) and computer vision are intelligent methods; ho...

Automatic recognition of micronucleus by combining attention mechanism and AlexNet.

BMC medical informatics and decision making
BACKGROUND: Micronucleus (MN) is an abnormal fragment in a human cell caused by disorders in the mechanism regulating chromosome segregation. It can be used as a biomarker for genotoxicity, tumor risk, and tumor malignancy. The in vitro micronucleus ...

Phase-locking patterns underlying effective communication in exact firing rate models of neural networks.

PLoS computational biology
Macroscopic oscillations in the brain have been observed to be involved in many cognitive tasks but their role is not completely understood. One of the suggested functions of the oscillations is to dynamically modulate communication between neural ci...

Intelligent Evaluation and Early Warning of Liquidity Risk of Commercial Banks Based on RNN.

Computational intelligence and neuroscience
With the downward pressure of China's economy and the impact of the epidemic, the accumulated market risk has increased the liquidity pressure of the banking industry, and the mismatch between deposit maturity and loan maturity is the main cause for ...

Extracting Wetland Type Information with a Deep Convolutional Neural Network.

Computational intelligence and neuroscience
Wetlands have important ecological value. The application of wetland remote sensing is essential for the timely and accurate analysis of the current situation in wetlands and dynamic changes in wetland resources, but high-resolution remote sensing im...

The Use of BP Neural Network Algorithm and Natural Language Processing in the Impact of Social Audit on Enterprise Innovation Ability.

Computational intelligence and neuroscience
At present, there are still some problems in the document management of enterprise innovation projects, such as non-standard management, lagging update, chaotic content, insufficient information, and insufficient application. There is still a lack of...

The Classification of Music and Art Genres under the Visual Threshold of Deep Learning.

Computational intelligence and neuroscience
Wireless networks are commonly employed for ambient assisted living applications, and artificial intelligence-enabled event detection and classification processes have become familiar. However, music is a kind of time-series data, and it is challengi...