Geriatrics

Indoor Place Category Recognition for a Cleaning Robot by Fusing a Probabilistic Approach and Deep Learning.

Indoor place category recognition for a cleaning robot is a problem in which a cleaning robot predicts the category of the indoor place using images captured by it. This is similar to scene recognition in computer vision as well as semantic mapping in robotics. Compared with scene recognition, the indoor place category recognition considered in this article differs as follows: 1) the indoor places...

An externally validated deep learning model for the accurate segmentation of the lumbar paravertebral muscles.

PURPOSE: Imaging studies about the relevance of muscles in spinal disorders, and sarcopenia in general, require the segmentation of the muscles in the images which is very labour-intensive if performed manually and poses a practical limit to the number of investigated subjects. This study aimed at developing a deep learning-based tool able to fully automatically perform an accurate segmentation of...

SALT: transfer learning-based threat model for attack detection in smart home.

The next whooping revolution after the Internet is its scion, the Internet of Things (IoT), which has facilitated every entity the power to connect to...

Marvin: An Innovative Omni-Directional Robotic Assistant for Domestic Environments.

Population aging and pandemics have been shown to cause the isolation of elderly people in their houses, generating the need for a reliable assistive ...

IGBT Fault Prediction Combining Terminal Characteristics and Artificial Intelligence Neural Network.

The insulated gate bipolar transistor (IGBT) is widely utilized in the transportation, power, and energy domains because of its high input impedance a...

Feasibility study of three-material decomposition in dual-energy cone-beam CT imaging with deep learning.

In this work, a dedicated end-to-end deep convolutional neural network, named as Triple-CBCT, is proposed to demonstrate the feasibility of reconstruc...

A novel end-to-end deep learning solution for coronary artery segmentation from CCTA.

PURPOSE: Coronary computed tomographic angiography (CCTA) plays a vital role in the diagnosis of cardiovascular diseases, among which automatic corona...

Application of deep learning methods: From molecular modelling to patient classification.

We are now well into the information driven age with complex, heterogeneous, datasets in the biological sciences continuing to grow at a rapid pace. M...

Automated detection of mild cognitive impairment and dementia from voice recordings: A natural language processing approach.

INTRODUCTION: Automated computational assessment of neuropsychological tests would enable widespread, cost-effective screening for dementia.

Classifying the lifestyle status for Alzheimer's disease from clinical notes using deep learning with weak supervision.

BACKGROUND: Since no effective therapies exist for Alzheimer's disease (AD), prevention has become more critical through lifestyle status changes and ...

Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller.

The Internet of Things (IoT) era is mainly dependent on the word "Smart", such as smart cities, smart homes, and smart cars. This aspect can be achiev...

Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry.

In contrast with our everyday experience using brain circuits, it can take a prohibitively long time to train a computational system to produce the co...

Photoplethysmogram based vascular aging assessment using the deep convolutional neural network.

Arterial stiffness due to vascular aging is a major indicator during the assessment of cardiovascular risk. In this study, we propose a method for age...

Design of Drug Sales Forecasting Model Using Particle Swarm Optimization Neural Networks Model.

The establishment of enterprise target inventory is directly related to the forecast of drug sales volume. Accurate sales forecasting can help busines...

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging.

The purpose of this study was to confirm the potential of XGBoost as a vascular aging assessment model based on the photoplethysmogram (PPG) features ...

An End-to-End Deep Learning Approach for State Recognition of Multifunction Radars.

With the widespread use of multifunction radars (MFRs), it is hard for the traditional radar signal recognition technology to meet the needs of curren...

[The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review].

The use of robotic and technical systems for early mobilization of intensive care patients: A scoping review Intensive care patients are often subje...

Electrocardiogram analysis of post-stroke elderly people using one-dimensional convolutional neural network model with gradient-weighted class activation mapping.

Stroke is the second leading cause of death globally after ischemic heart disease, also a risk factor of cardioembolic stroke. Thus, we postulate that...

Pathological-Gait Recognition Using Spatiotemporal Graph Convolutional Networks and Attention Model.

Walking is an exercise that uses muscles and joints of the human body and is essential for understanding body condition. Analyzing body movements thro...

Application of Artificial Intelligence Methodologies to Chronic Wound Care and Management: A Scoping Review.

As the number of hard-to-heal wound cases rises with the aging of the population and the spread of chronic diseases, health care professionals strugg...