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Care of terminally ill / Palliative care

Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.

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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 r...

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 strateg...

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 intr...

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

This paper proposes and demonstrates a single-line discontinuous track recognition system by associa...

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. Y...

Motor Ability Evaluation of the Upper Extremity with Point-To-Point Training Movement Based on End-Effector Robot-Assisted Training System.

Assessment is critical during the procedure of stroke rehabilitation. However, traditional assessmen...

End-to-end diabetic retinopathy grading based on fundus fluorescein angiography images using deep learning.

PURPOSE: To develop and validate a deep learning system for diabetic retinopathy (DR) grading based ...

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 e...

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...

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 ...

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 Convo...

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 e...

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 c...

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 ...

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/...

End-to-End Autonomous Exploration with Deep Reinforcement Learning and Intrinsic Motivation.

Developing artificial intelligence (AI) agents is challenging for efficient exploration in visually ...

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 ...

HyperSeed: An End-to-End Method to Process Hyperspectral Images of Seeds.

High-throughput, nondestructive, and precise measurement of seeds is critical for the evaluation of ...

Drug-Target Interaction Prediction: End-to-End Deep Learning Approach.

The discovery of potential Drug-Target Interactions (DTIs) is a determining step in the drug discove...

VBNet: An end-to-end 3D neural network for vessel bifurcation point detection in mesoscopic brain images.

BACKGROUND AND OBJECTIVE: Accurate detection of vessel bifurcation points from mesoscopic whole-brai...

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