AIMC Topic: Neural Networks, Computer

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Effective and efficient active learning for deep learning-based tissue image analysis.

Bioinformatics (Oxford, England)
MOTIVATION: Deep learning attained excellent results in digital pathology recently. A challenge with its use is that high quality, representative training datasets are required to build robust models. Data annotation in the domain is labor intensive ...

Application of soft computing techniques to estimate the scouring depth formed by crossing jets.

Water science and technology : a journal of the International Association on Water Pollution Research
The scouring depth caused by the water jet outputs from a dam is one of the crucial parameters for design purposes. Due to the importance of the subject, several laboratory studies have been conducted to understand this subject. Nevertheless, using s...

Prediction of pulp exposure risk of carious pulpitis based on deep learning.

Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology
OBJECTIVES: This study aims to predict the risk of deep caries exposure in radiographic images based on the convolutional neural network model, compare the prediction results of the network model with those of senior dentists, evaluate the performanc...

Simulation and prediction of the attenuation behaviour of the KNN-LMN-based lead-free ceramics by FLUKA code and artificial neural network (ANN)-based algorithm.

Environmental technology
The significance and novelty of the present work are the preparation of the non-lead ceramic by the general formula of (1-x) KNa.NbO-xLa MnNiO (KNN-LMN) with different x (0

Fixed-deviation stabilization and synchronization for delayed fractional-order complex-valued neural networks.

Mathematical biosciences and engineering : MBE
In this paper, we study fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks with delays. By applying fractional calculus and fixed-deviation stability theory, sufficient conditions are given to ensure...

Research and application progress in deep learning in otology.

Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences
With the optimization of deep learning algorithms and the accumulation of medical big data, deep learning technology has been widely applied in research in various fields of otology in recent years. At present, research on deep learning in otology is...

An intelligent fault detection approach for digital integrated circuits through graph neural networks.

Mathematical biosciences and engineering : MBE
To quickly and accurately realize the fault diagnosis of analog circuits, this paper introduces the graph neural network method and proposes a fault diagnosis method for digital integrated circuits. The method filters the signals present in the digit...

A lightweight CNN-based knowledge graph embedding model with channel attention for link prediction.

Mathematical biosciences and engineering : MBE
Knowledge graph (KG) embedding is to embed the entities and relations of a KG into a low-dimensional continuous vector space while preserving the intrinsic semantic associations between entities and relations. One of the most important applications o...