AIMC Topic: Neural Networks, Computer

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An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer.

Sensors (Basel, Switzerland)
Skin Cancer (SC) is considered the deadliest disease in the world, killing thousands of people every year. Early SC detection can increase the survival rate for patients up to 70%, hence it is highly recommended that regular head-to-toe skin examinat...

Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor.

IEEE journal of translational engineering in health and medicine
Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, and the surveillance in inte...

Study of Chinese Shadow Mapping Classification with the Application of Deep Learning Algorithms.

Computational intelligence and neuroscience
Shadow puppetry is a traditional Chinese fascinating theatre act performed by large group of artists. An artist generally uses sticks, transparent cloth screen, and flat puppets behind an illuminated background to create illusion of moving pictures d...

Design of Multimodal Neural Network Control System for Mechanically Driven Reconfigurable Robot.

Computational intelligence and neuroscience
According to the characteristics and division rules of the modules, this paper divides the rotary module, the swing module, and the mobile module. In order to realize the rapid identification of modules, according to the basic principles of module de...

Optimization of Computer Web Page Interface Based on BP Neural Network Algorithm and Multimedia.

Computational intelligence and neuroscience
In web design, we need to make full use of computer multimedia technology, which can effectively improve the quality of web design and provide greater convenience. The neural network needs to calculate a large amount of training data in image optimiz...

The Synchronization Analysis of Cohen-Grossberg Stochastic Neural Networks with Inertial Terms.

Computational intelligence and neuroscience
The exponential synchronization (ES) of Cohen-Grossberg stochastic neural networks with inertial terms (CGSNNIs) is studied in this paper. It is investigated in two ways. The first way is using variable substitution to transform the system to another...

An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.

Computational intelligence and neuroscience
The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that can lead to respiratory insufficiency. Reducing the supply of oxygen to human cells negatively impacts humans, and multiorgan failure with a high mort...

Detecting total hip arthroplasty dislocations using deep learning: clinical and Internet validation.

Emergency radiology
OBJECTIVE: Periprosthetic dislocations of total hip arthroplasty (THA) are time-sensitive injuries, as the longer diagnosis and treatment are delayed, the more difficult they are to reduce. Automated triage of radiographs with dislocations could help...

Efficient fetal ultrasound image segmentation for automatic head circumference measurement using a lightweight deep convolutional neural network.

Medical physics
PURPOSE: Fetal head circumference (HC) is an important biometric parameter that can be used to assess fetal development in obstetric clinical practice. Most of the existing methods use deep neural network to accomplish the task of automatic fetal HC ...