AIMC Topic: Neural Networks, Computer

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Classification of nine types of pornographic materials using the sAI 0.3 model. Continuation of the pilot study.

Psychiatria polska
OBJECTIVES: Legal pornographic materials are a heterogenous group of audiovisual materials that depict one or more person over the age of eighteen engaging in sexual activities. The aim of this study was to train a model that could classify given typ...

Anomaly Detection in Traffic Surveillance Videos Using Deep Learning.

Sensors (Basel, Switzerland)
In the recent past, a huge number of cameras have been placed in a variety of public and private areas for the purposes of surveillance, the monitoring of abnormal human actions, and traffic surveillance. The detection and recognition of abnormal act...

Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning.

Sensors (Basel, Switzerland)
Currently, Android is the most popular operating system among mobile devices. However, as the number of devices with the Android operating system increases, so does the danger of using them. This is especially important as smartphones increasingly au...

A Robust Visual Tracking Method Based on Reconstruction Patch Transformer Tracking.

Sensors (Basel, Switzerland)
Recently, the transformer model has progressed from the field of visual classification to target tracking. Its primary method replaces the cross-correlation operation in the Siamese tracker. The backbone of the network is still a convolutional neural...

Detection and Analysis of Human Cells Based on Artificial Neural Network.

Computational intelligence and neuroscience
The detection and classification of histopathological cell images is a hot topic in current research. Medical images are an important research direction and are widely used in computer-aided diagnosis, biological research, and other fields. A neural ...

Health State Assessment of Industrial Equipment Driven by the Fusion of Digital Twin Model and Intelligent Algorithm.

Computational intelligence and neuroscience
Equipment health state assessment is of great significance to improve the efficiency of industrial equipment maintenance support and realize accurate support. Using the method driven by the fusion of digital twin model and intelligent algorithm can m...

Monitoring Technology of Abnormal Displacement of BeiDou Power Line Based on Artificial Neural Network.

Computational intelligence and neuroscience
In the practice of power line engineering, navigation and positioning technology is often used in the fields of information collection and analysis, optimized line design, and deformation monitoring. Compared with traditional measurement technology, ...

A Novel Method for COVID-19 Detection Based on DCNNs and Hierarchical Structure.

Computational and mathematical methods in medicine
The worldwide outbreak of the new coronavirus disease (COVID-19) has been declared a pandemic by the World Health Organization (WHO). It has a devastating impact on daily life, public health, and global economy. Due to the highly infectiousness, it i...

Breast MRI Tumor Automatic Segmentation and Triple-Negative Breast Cancer Discrimination Algorithm Based on Deep Learning.

Computational and mathematical methods in medicine
BACKGROUND: Breast cancer is a kind of cancer that starts in the epithelial tissue of the breast. Breast cancer has been on the rise in recent years, with a younger generation developing the disease. Magnetic resonance imaging (MRI) plays an importan...

Siamese network with a depthwise over-parameterized convolutional layer for visual tracking.

PloS one
Visual tracking is a fundamental research task in vision computer. It has broad application prospects, such as military defense and civil security. Visual tracking encounters many challenges in practical application, such as occlusion, fast motion an...