AIMC Topic: Neural Networks, Computer

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Image edge detection with a photonic spiking VCSEL-neuron.

Optics express
We report both experimentally and in theory on the detection of edge features in digital images with an artificial optical spiking neuron based on a vertical-cavity surface-emitting laser (VCSEL). The latter delivers fast (< 100 ps) neuron-like optic...

Crowding and attention in a framework of neural network model.

Journal of vision
In this article, I present a framework that would accommodate the classic ideas of visual information processing together with more recent computational approaches. I used the current knowledge about visual crowding, capacity limitations, attention, ...

[Artificial intelligence and innovation to optimize the tuberculosis diagnostic process].

Revista peruana de medicina experimental y salud publica
Tuberculosis remains an urgent issue on the urban health agenda, especially in low- and middle-income countries. There is a need to develop and implement innovative and effective solutions in the tuberculosis diagnostic process. In this article, We d...

[Multi-index optimization of extraction process of Fengyin Decoction based on BAS-GA-BP neural network combined with entropy weight method].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
To optimize the ethanol extraction technology parameters of Fengyin Decoction by orthogonal experiment combined with beetle antennae search(BAS)-genetic algorithm(GA)-back propagation neural network(BPNN). Based on single factor investigation, the ex...

Efficient heart disease prediction-based on optimal feature selection using DFCSS and classification by improved Elman-SFO.

IET systems biology
Prediction of cardiovascular disease (CVD) is a critical challenge in the area of clinical data analysis. In this study, an efficient heart disease prediction is developed based on optimal feature selection. Initially, the data pre-processing process...

Place recognition with deep superpixel features for brain-inspired navigation.

The Review of scientific instruments
Navigation in primates is generally supported by cognitive maps. Such a map endows an animal with navigational planning capabilities. Numerous methods have been proposed to mimic these natural navigation capabilities in artificial systems. Based on s...

Source depth estimation using spectral transformations and convolutional neural network in a deep-sea environment.

The Journal of the Acoustical Society of America
Multiple approaches for depth estimation in deep-ocean environments are discussed. First, a multispectral transformation for depth estimation (MSTDE) method based on the low-spatial-frequency interference in a constant sound speed is derived to estim...

Semi-supervised audio-driven TV-news speaker diarization using deep neural embeddings.

The Journal of the Acoustical Society of America
In this paper, an audio-driven, multimodal approach for speaker diarization in multimedia content is introduced and evaluated. The proposed algorithm is based on semi-supervised clustering of audio-visual embeddings, generated using deep learning tec...

Performance improvement of wastewater treatment processes by application of machine learning.

Water science and technology : a journal of the International Association on Water Pollution Research
Improving wastewater treatment processes is becoming increasingly important, due to more stringent effluent quality requirements, the need to reduce energy consumption and chemical dosing. This can be achieved by applying artificial intelligence. Mac...

Validation of cervical vertebral maturation stages: Artificial intelligence vs human observer visual analysis.

American journal of orthodontics and dentofacial orthopedics : official publication of the American Association of Orthodontists, its constituent societies, and the American Board of Orthodontics
INTRODUCTION: This study aimed to develop an artificial neural network (ANN) model for cervical vertebral maturation (CVM) analysis and validate the model's output with the results of human observers.