AIMC Topic: Neural Networks, Computer

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Detection of malignant melanoma in H&E-stained images using deep learning techniques.

Tissue & cell
Histopathological images are widely used to diagnose diseases including skin cancer. As digital histopathological images are typically of very large size, in the order of several billion pixels, automated identification of all abnormal cell nuclei an...

An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems.

Sensors (Basel, Switzerland)
Currently, sensor-based systems for fire detection are widely used worldwide. Further research has shown that camera-based fire detection systems achieve much better results than sensor-based methods. In this study, we present a method for real-time ...

Optimized Design of Neural Networks for a River Water Level Prediction System.

Sensors (Basel, Switzerland)
In this paper, a Multi-Objective Genetic Algorithm (MOGA) framework for the design of Artificial Neural Network (ANN) models is used to design 1-step-ahead prediction models of river water levels. The design procedure is a near-automatic method that,...

Machine Learning Based Diabetes Classification and Prediction for Healthcare Applications.

Journal of healthcare engineering
The remarkable advancements in biotechnology and public healthcare infrastructures have led to a momentous production of critical and sensitive healthcare data. By applying intelligent data analysis techniques, many interesting patterns are identifie...

Heart Disease Prediction Based on the Embedded Feature Selection Method and Deep Neural Network.

Journal of healthcare engineering
In recent decades, heart disease threatens people's health seriously because of its prevalence and high risk of death. Therefore, predicting heart disease through some simple physical indicators obtained from the regular physical examination at an ea...

Optimization of Machine Online Translation System Based on Deep Convolution Neural Network Algorithm.

Computational intelligence and neuroscience
In order to effectively optimize the machine online translation system and improve its translation efficiency and translation quality, this study uses the deep separable convolution neural network algorithm to construct a machine online translation m...

Edge AI-Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning.

Computational intelligence and neuroscience
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate changes, low quality of construction material, large flow of traffic, and heavy vehicles, road surface anomalies are increasing rapidly. Detection and repairin...

Intelligent Simulation of Children's Psychological Path Selection Based on Chaotic Neural Network Algorithm.

Computational intelligence and neuroscience
In recent years, there are many problems in the study of intelligent simulation of children's psychological path selection, among which the main problem is to ignore the factors of children's psychological path selection. Based on this, this paper st...

Natural and Artificial Intelligence: A brief introduction to the interplay between AI and neuroscience research.

Neural networks : the official journal of the International Neural Network Society
Neuroscience and artificial intelligence (AI) share a long history of collaboration. Advances in neuroscience, alongside huge leaps in computer processing power over the last few decades, have given rise to a new generation of in silico neural networ...

A Heterogeneous RISC-V Processor for Efficient DNN Application in Smart Sensing System.

Sensors (Basel, Switzerland)
Extracting features from sensing data on edge devices is a challenging application for which deep neural networks (DNN) have shown promising results. Unfortunately, the general micro-controller-class processors which are widely used in sensing system...