AIMC Topic: Neural Networks, Computer

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A novel early diagnostic framework for chronic diseases with class imbalance.

Scientific reports
Chronic diseases are one of the most severe health issues in the world, due to their terrible clinical presentations such as long onset cycle, insidious symptoms, and various complications. Recently, machine learning has become a promising technique ...

Construction of an Artificial Intelligence Writing Model for English Based on Fusion Neural Network Model.

Computational intelligence and neuroscience
This paper presents an in-depth study and analysis of the model of English writing using artificial intelligence algorithms of neural networks. Based on word vectors, the unsupervised disambiguation, and clustering of multimedia contexts extracted fr...

Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.

Medical physics
PURPOSE: Automated retinal vessel segmentation is crucial to the early diagnosis and treatment of ophthalmological diseases. Many deep-learning-based methods have shown exceptional success in this task. However, current approaches are still inadequat...

CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification.

Sensors (Basel, Switzerland)
Convolutional neural networks (CNNs) have been prominent in most hyperspectral image (HSI) processing applications due to their advantages in extracting local information. Despite their success, the locality of the convolutional layers within CNNs re...

Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet.

Sensors (Basel, Switzerland)
In recent times, organisations in a variety of businesses, such as healthcare, education, and others, have been using the Internet of Things (IoT) to produce more competent and improved services. The widespread use of IoT devices makes our lives easi...

An Infrared Array Sensor-Based Approach for Activity Detection, Combining Low-Cost Technology with Advanced Deep Learning Techniques.

Sensors (Basel, Switzerland)
In this paper, we propose an activity detection system using a 24 × 32 resolution infrared array sensor placed on the ceiling. We first collect the data at different resolutions (i.e., 24 × 32, 12 × 16, and 6 × 8) and apply the advanced deep learning...

Forecasting Carbon Price in China: A Multimodel Comparison.

International journal of environmental research and public health
With the global concern for carbon dioxide, the carbon emission trading market is becoming more and more important. An accurate forecast of carbon price plays a significant role in understanding the dynamics of the carbon trading market and achieving...

WBC image classification and generative models based on convolutional neural network.

BMC medical imaging
BACKGROUND: Computer-aided methods for analyzing white blood cells (WBC) are popular due to the complexity of the manual alternatives. Recent works have shown highly accurate segmentation and detection of white blood cells from microscopic blood imag...

Automatic worm detection to solve overlapping problems using a convolutional neural network.

Scientific reports
The nematode Caenorhabditis elegans is a powerful experimental model to investigate vital functions of higher organisms. We recently established a novel method, named "pond assay for the sensory systems (PASS)", that dramatically improves both the ev...

A Modified ResNeXt for Android Malware Identification and Classification.

Computational intelligence and neuroscience
It is critical to successfully identify, mitigate, and fight against Android malware assaults, since Android malware has long been a significant threat to the security of Android applications. Identifying and categorizing dangerous applications into ...