AIMC Topic: Neural Networks, Computer

Clear Filters Showing 13521 to 13530 of 31376 articles

Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix.

PloS one
Breast cancer is regarded as the leading killer of women today. The early diagnosis and treatment of breast cancer is the key to improving the survival rate of patients. A method of breast cancer histopathological images recognition based on deep sem...

An improved genetic algorithm and its application in neural network adversarial attack.

PloS one
The choice of crossover and mutation strategies plays a crucial role in the searchability, convergence efficiency and precision of genetic algorithms. In this paper, a novel improved genetic algorithm is proposed by improving the crossover and mutati...

A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding.

PloS one
With the development of the Internet of Vehicles (IoV), attacks to the vehicle-mounted control area network (CAN) have seriously jeopardized the security of automobiles. As an important security measure, intrusion detection technologies have aroused ...

Spectroscopic profiling-based geographic herb identification by neural network with random weights.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Daodi medicinal material plays an important role in traditional Chinese medicine (TCM). This study researches and validates the NNRW (neural network with random weights) model on spectroscopic profiling data for geographical origin identification. NN...

Fourier transform infrared spectrum pre-processing technique selection for detecting PYLCV-infected chilli plants.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Pre-processing is a crucial step in analyzing spectra from Fourier transform infrared (FTIR) spectroscopy because it can reduce unwanted noise and enhance system performance. Here, we present the results of pre-processing technique optimization to fa...

A Detailed Systematic Review on Retinal Image Segmentation Methods.

Journal of digital imaging
The separation of blood vessels in the retina is a major aspect in detecting ailment and is carried out by segregating the retinal blood vessels from the fundus images. Moreover, it helps to provide earlier therapy for deadly diseases and prevent fur...

Soft Sensor Modeling Method Based on Improved KH-RBF Neural Network Bacteria Concentration in Marine Alkaline Protease Fermentation Process.

Applied biochemistry and biotechnology
Marine alkaline protease (MAP) fermentation is a complex multivariable, multi-coupled, and nonlinear process. Some unmeasured parameters will affect the quality of protease. Aiming at the problem that some parameters are difficult to be detected onli...

Use of gamma radiation and artificial neural network techniques to monitor characteristics of polyduct transport of petroleum by-products.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
This study presents a methodology based on the dual-mode gamma densitometry technique in combination with artificial neural networks to simultaneously determine type and quantity of four different fluids (Gasoline, Glycerol, Kerosene and Fuel Oil) to...

Evolving neural networks through bio-inspired parent selection in dynamic environments.

Bio Systems
Environmental variability often degrades the performance of algorithms designed to capture the global convergence of a given search space. Several approaches have been developed to challenge environmental uncertainty by incorporating biologically ins...

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.

Medical image analysis
Artificial intelligence (AI) can extract visual information from histopathological slides and yield biological insight and clinical biomarkers. Whole slide images are cut into thousands of tiles and classification problems are often weakly-supervised...