AIMC Topic: Neural Networks, Computer

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[Artificial intelligence in the diagnosis of rare disorders: the development of phenotype analysis].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
Rare diseases can often be diagnosed by carefully assessing the phenotype of the patient, as characteristic deviations (dysmorphisms) occur in many genetic diseases. These affect, for example, the features of the face - the "facial gestalt."This pape...

Real-Time Pipe and Valve Characterisation and Mapping for Autonomous Underwater Intervention Tasks.

Sensors (Basel, Switzerland)
Nowadays, more frequently, it is necessary to perform underwater operations such as surveying an area or inspecting and intervening on industrial infrastructures such as offshore oil and gas rigs or pipeline networks. Recently, the use of Autonomous ...

A Routing Optimization Method for Software-Defined Optical Transport Networks Based on Ensembles and Reinforcement Learning.

Sensors (Basel, Switzerland)
Optical transport networks (OTNs) are widely used in backbone- and metro-area transmission networks to increase network transmission capacity. In the OTN, it is particularly crucial to rationally allocate routes and maximize network capacities. By em...

Pretreatment to terahertz absorption curves by narrow undulation constraint and Its quick implementation suggested by convex hull.

Scientific reports
In this work, a method of pretreating THz absorption curve is proposed, which leads to minimal range in absorption, reserving necessary undulation of curve for identification by convolutional neural network. The kernel thought of proposed method is a...

Estimation of best corrected visual acuity based on deep neural network.

Scientific reports
In this study, we investigated a convolutional neural network (CNN)-based framework for the estimation of the best-corrected visual acuity (BCVA) from fundus images. First, we collected 53,318 fundus photographs from the Gyeongsang National Universit...

SDHAR-HOME: A Sensor Dataset for Human Activity Recognition at Home.

Sensors (Basel, Switzerland)
Nowadays, one of the most important objectives in health research is the improvement of the living conditions and well-being of the elderly, especially those who live alone. These people may experience undesired or dangerous situations in their daily...

NIR spectroscopy combined with 1D-convolutional neural network for breast cancerization analysis and diagnosis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Near-infrared (NIR) spectroscopy with deep penetration can characterize the composition of biological tissue based on the vibration of the X-H group in a rapid and high-specificity way. Deep learning is proven helpful for rapid and automatic identifi...

ExpGCN: Review-aware Graph Convolution Network for explainable recommendation.

Neural networks : the official journal of the International Neural Network Society
Existing works in recommender system have widely explored extracting reviews as explanations beyond user-item interactions, and formulated the explanation generation as a ranking task to enhance item recommendation performance. To associate explanati...

Compressed gastric image generation based on soft-label dataset distillation for medical data sharing.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE:   Sharing of medical data is required to enable the cross-agency flow of healthcare information and construct high-accuracy computer-aided diagnosis systems. However, the large sizes of medical datasets, the massive amount o...

Enabling data-limited chemical bioactivity predictions through deep neural network transfer learning.

Journal of computer-aided molecular design
The main limitation in developing deep neural network (DNN) models to predict bioactivity properties of chemicals is the lack of sufficient assay data to train the network's classification layers. Focusing on feedforward DNNs that use atom- and bond-...