Care of terminally ill / Palliative care

Visual attention prediction improves performance of autonomous drone racing agents.

Humans race drones faster than neural networks trained for end-to-end autonomous flight. This may be related to the ability of human pilots to select task-relevant visual information effectively. This work investigates whether neural networks capable of imitating human eye gaze behavior and attention can improve neural networks' performance for the challenging task of vision-based autonomous drone...

Performance Degradation Estimation of High-Speed Train Bogie Based on 1D-ConvLSTM Time-Distributed Convolutional Neural Network.

High-speed train bogies are essential for the safety and comfort of train operation. The performance of the bogie usually degrades before it fails, so it is necessary to detect the performance degradation of a high-speed train bogie in advance. In this paper, with two key dampers on the bogie taken as experimental objects (lateral damper and yaw damper), a novel 1D-ConvLSTM time-distributed convol...

Predicting adverse cardiac events in sarcoidosis: deep learning from automated characterization of regional myocardial remodeling.

Recognizing early cardiac sarcoidosis (CS) imaging phenotypes can help identify opportunities for effective treatment before irreversible myocardial p...

Fuzzy Support Tensor Product Adaptive Image Classification for the Internet of Things.

Computer vision is one of the hottest research directions in artificial intelligence at present, and its research goal is to give computers the abilit...

Intelligent 2-∞ Consensus of Multiagent Systems under Switching Topologies via Fuzzy Deep Learning.

The problem of intelligent - consensus design for leader-followers multiagent systems (MASs) under switching topologies is investigated based on swi...

Parallax attention stereo matching network based on the improved group-wise correlation stereo network.

Recent stereo matching methods, especially end-to-end deep stereo matching networks, have achieved remarkable performance in the fields of autonomous ...

Singular Configuration Analysis and Singularity Avoidance with Application in an Intelligent Robotic Manipulator.

Recently, robotic sensor systems have gained more attention annually in complex system sense strategies. The robotic sensors sense the information fro...

End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning.

OBJECTIVE: Mean intracranial pressure (ICP) is commonly used in the management of patients with intracranial pathologies. However, the shape of the IC...

Discontinuous Track Recognition System Based on PolyLaneNet for Darwin-op2 Robot.

This paper proposes and demonstrates a single-line discontinuous track recognition system by associating the track recognition problem of a humanoid r...

The entwinement of policy, design and care scripts: Providing alternative choice-dependency situations with care robots.

The use of robots to assist feeding has become important for people with an impaired arm function. Yet, despite large-scale dissemination strategies, ...

Effective TCP Flow Management Based on Hierarchical Feedback Learning in Complex Data Center Network.

Many studies focusing on improving Transmission Control Protocol (TCP) flow control realize a more effective use of bandwidth in data center networks....

Discrete-time practical robotic control for human-robot interaction with state constraint and sensorless force estimation.

Employing a continuous-time control algorithm to control the practical system based on discrete-time digital computer will lead to the cost of perform...

Automated Classification of Rheumatoid Arthritis, Osteoarthritis, and Normal Hand Radiographs with Deep Learning Methods.

Rheumatoid arthritis and hand osteoarthritis are two different arthritis that causes pain, function limitation, and permanent joint damage in the hand...

P-CNN: Part-Based Convolutional Neural Networks for Fine-Grained Visual Categorization.

This paper proposes an end-to-end fine-grained visual categorization system, termed Part-based Convolutional Neural Network (P-CNN), which consists of...

End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.

BACKGROUND: The advancement of science and technologies play an immense role in the way scientific experiments are being conducted. Understanding how ...

Attenuation of Oxidative Stress, Interleukin-6, High-Sensitivity C-Reactive Protein, Plasminogen Activator Inhibitor-1, and Fibrinogen with Oral Vitamin D Supplementation in Patients with T2DM having Vitamin D Deficiency.

 Type 2 diabetes mellitus (T2DM) associated with oxidative stress and inflammation causes endothelial dysfunction, which promotes cardiovascular risk...

Multipath Cross Graph Convolution for Knowledge Representation Learning.

In the past, most of the entity prediction methods based on embedding lacked the training of local core relationships, resulting in a deficiency in th...

High-Speed Handling Robot with Bionic End-Effector for Large Glass Substrate in Clean Environment.

The development of "large display, high performance and low cost" in the FPD industry demands glass substrates to be "larger and thinner". Therefore, ...

Automated Hyperspectral 2D/3D Raman Analysis Using the Learner-Predictor Strategy: Machine Learning-Based Inline Raman Data Analytics.

Synchronously detecting multiple Raman spectral signatures in two-dimensional/three-dimensional (2D/3D) hyperspectral Raman analysis is a daunting cha...

Variance-based global sensitivity analysis for rear-end crash investigation using deep learning.

Traffic accidents are rare events with inconsistent spatial and temporal dimensions; thus, accident injury severity (INJ-S) analysis faces a significa...