AIMC Topic: Research Design

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Confidence-Calibrated Human Activity Recognition.

Sensors (Basel, Switzerland) Sep 30, 2021
Wearable sensors are widely used in activity recognition (AR) tasks with broad applicability in health and well-being, sports, geriatric care, etc. Deep learning (DL) has been at the forefront of progress in activity classification with wearable sens...
Probability Humans Human Activities Neural Networks, Computer Recognition, Psychology Research Design Aged
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Multi-Robot Preemptive Task Scheduling with Fault Recovery: A Novel Approach to Automatic Logistics of Smart Factories.

Sensors (Basel, Switzerland) Sep 30, 2021
This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that introduces priority policies on preemptive task scheduling and considers dependencies between tasks, and tolerates faults. The approach is referred to as Multi-Robot Pre...
Robotics Efficiency Models, Theoretical Algorithms Research Design
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Deep Generative Medical Image Harmonization for Improving Cross-Site Generalization in Deep Learning Predictors.

Journal of magnetic resonance imaging : JMRI Sep 25, 2021
BACKGROUND: In the medical imaging domain, deep learning-based methods have yet to see widespread clinical adoption, in part due to limited generalization performance across different imaging devices and acquisition protocols. The deviation between e...
Humans Research Design Brain Adolescent Retrospective Studies Image Processing, Computer-Assisted Deep Learning
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Knowledge and Attitudes Toward an Artificial Intelligence-Based Fidelity Measurement in Community Cognitive Behavioral Therapy Supervision.

Administration and policy in mental health Sep 18, 2021
To capitalize on investments in evidence-based practices, technology is needed to scale up fidelity assessment and supervision. Stakeholder feedback may facilitate adoption of such tools. This evaluation gathered stakeholder feedback and preferences ...
Cognitive Behavioral Therapy Humans Artificial Intelligence Attitude Research Design Focus Groups
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Facilitators and barriers to using telepresence robots in aged care settings: a scoping review protocol.

BMJ open Sep 17, 2021
INTRODUCTION: Social isolation is a significant issue in aged care settings (eg, long-term care (LTC) and hospital) and is associated with adverse outcomes such as reduced well-being and loneliness. Loneliness is linked with depression, anxiety, cogn...
Long-Term Care Scoping Reviews As Topic Quality of Life Robotics Social Isolation Loneliness Research Design Aged Humans
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Comparison of machine learning methods for estimating case fatality ratios: An Ebola outbreak simulation study.

PloS one Sep 15, 2021
BACKGROUND: Machine learning (ML) algorithms are now increasingly used in infectious disease epidemiology. Epidemiologists should understand how ML algorithms behave within the context of outbreak data where missingness of data is almost ubiquitous.
Datasets as Topic Hemorrhagic Fever, Ebola Disease Outbreaks Research Design Humans Data Interpretation, Statistical Models, Statistical Computer Simulation Machine Learning Survival Analysis
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Estimating PM concentration using the machine learning GA-SVM method to improve the land use regression model in Shaanxi, China.

Ecotoxicology and environmental safety Sep 13, 2021
With rapid economic growth, urbanization and industrialization, fine particulate matter with aerodynamic diameters ≤ 2.5 µm (PM) has become a major pollutant and shows adverse effects on both human health and the atmospheric environment. Many studies...
Humans Machine Learning China Support Vector Machine Algorithms Research Design
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MTANS: Multi-Scale Mean Teacher Combined Adversarial Network with Shape-Aware Embedding for Semi-Supervised Brain Lesion Segmentation.

NeuroImage Sep 8, 2021
The annotation of brain lesion images is a key step in clinical diagnosis and treatment of a wide spectrum of brain diseases. In recent years, segmentation methods based on deep learning have gained unprecedented popularity, leveraging a large amount...
Humans Deep Learning Magnetic Resonance Imaging Multiple Sclerosis Datasets as Topic Stroke Brain Neoplasms Students Research Design Brain
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Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.

IEEE journal of biomedical and health informatics Sep 3, 2021
Dose reduction in computed tomography (CT) has gained considerable attention in clinical applications because it decreases radiation risks. However, a lower dose generates noise in low-dose computed tomography (LDCT) images. Previous deep learning (D...
Humans Tomography, X-Ray Computed Image Processing, Computer-Assisted Neural Networks, Computer Signal-To-Noise Ratio Research Design
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Enhancing Biomedical Relation Extraction with Transformer Models using Shortest Dependency Path Features and Triplet Information.

Journal of biomedical informatics Sep 2, 2021
Entity relation extraction plays an important role in the biomedical, healthcare, and clinical research areas. Recently, pre-trained models based on transformer architectures and their variants have shown remarkable performances in various natural la...
Natural Language Processing Research Design Language
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