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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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Off the deep end: What can deep learning do for the gene expression field?

After a COVID-related hiatus, the fifth biennial symposium on Evolution and Core Processes in Gene R...

End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery.

Hierarchical reinforcement learning (HRL) is a promising approach to perform long-horizon goal-reach...

End-to-End Protein Normal Mode Frequency Predictions Using Language and Graph Models and Application to Sonification.

The prediction of mechanical and dynamical properties of proteins is an important frontier, especial...

Adaptive-Constrained Impedance Control for Human-Robot Co-Transportation.

Human-robot co-transportation allows for a human and a robot to perform an object transportation tas...

A Novel Multiple-View Adversarial Learning Network for Unsupervised Domain Adaptation Action Recognition.

Abstract-domain adaptation action recognition is a hot research topic in machine learning and some e...

Adaptive Prescribed Performance Control of A Flexible-Joint Robotic Manipulator With Dynamic Uncertainties.

An adaptive fuzzy control strategy is proposed for a single-link flexible-joint robotic manipulator ...

ToxMVA: An end-to-end multi-view deep autoencoder method for protein toxicity prediction.

Effectively predicting protein toxicity plays an essential step in the early stage of protein-based ...

UNav: An Infrastructure-Independent Vision-Based Navigation System for People with Blindness and Low Vision.

Vision-based localization approaches now underpin newly emerging navigation pipelines for myriad use...

Asynchronous Intermittent Regulation of Human Arm Movement with Markovian Jumping Parameters.

In this paper, the regulation stability problem of the human arm continuous movement is investigated...

Telepresence Robot System for People with Speech or Mobility Disabilities.

Due to an increase in the number of disabled people around the world, inclusive solutions are becomi...

Protein structure prediction in the deep learning era.

Significant advances have been achieved in protein structure prediction, especially with the recent ...

Dark-Channel Enhanced-Compensation Net: An end-to-end inner-reflection compensation method for immersive projection system.

Immersive projection display system is widely adopted in virtual reality and various exhibition hall...

Predicting intersection crash frequency using connected vehicle data: A framework for geographical random forest.

Accurate crash frequency prediction is critical for proactive safety management. The emerging connec...

Iterative deep neural networks based on proximal gradient descent for image restoration.

The algorithm unfolding networks with explainability of algorithms and higher efficiency of Deep Neu...

Self-supervised machine learning for live cell imagery segmentation.

Segmenting single cells is a necessary process for extracting quantitative data from biological micr...

End-to-end deep learning model for segmentation and severity staging of anterior cruciate ligament injuries from MRI.

PURPOSE: The purpose of this study was to develop a semi-supervised segmentation and classification ...

A review of critical challenges in MI-BCI: From conventional to deep learning methods.

Brain-computer interfaces (BCIs) have achieved significant success in controlling external devices t...

Patient-Specific Exercises with the Development of an End-Effector Type Upper Limb Rehabilitation Robot.

End-effector type upper limb rehabilitation robots (ULRRs) are connected to patients at one distal p...

An improved path planning algorithm based on artificial potential field and primal-dual neural network for surgical robot.

Safety and accuracy are essential for path planning in a surgical navigation system. In this paper, ...

A robot-assisted acoustofluidic end effector.

Liquid manipulation is the foundation of most laboratory processes. For macroscale liquid handling, ...

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