AIMC Topic: Rotation

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Model-based data augmentation for user-independent fatigue estimation.

Computers in biology and medicine Sep 6, 2021
OBJECTIVE: User-independent recognition of exercise-induced fatigue from wearable motion data is challenging, due to inter-participant variability. This study aims to develop algorithms that can accurately estimate fatigue during exercise.
Humans Neural Networks, Computer Rotation Fatigue Biomechanical Phenomena Exercise
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Early balance impairment in Parkinson's Disease: Evidence from Robot-assisted axial rotations.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Jul 28, 2021
OBJECTIVE: Early postural instability (PI) is a red flag for the diagnosis of Parkinson's disease (PD). Several patients, however, fall within the first three years of disease, particularly when turning. We investigated whether PD patients, without c...
Aged Male Humans Female Parkinson Disease Robotics Middle Aged Wearable Electronic Devices Antiparkinson Agents Levodopa Postural Balance Rotation Early Diagnosis
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A Multi-Objective Evolutionary Approach Based on Graph-in-Graph for Neural Architecture Search of Convolutional Neural Networks.

International journal of neural systems Jul 24, 2021
With the development of deep learning, the design of an appropriate network structure becomes fundamental. In recent years, the successful practice of Neural Architecture Search (NAS) has indicated that an automated design of the network structure ca...
Algorithms Rotation Humans Neural Networks, Computer
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Intelligent Prediction for Rock Porosity While Drilling Complex Lithology in Real Time.

Computational intelligence and neuroscience Jun 14, 2021
Rock porosity is an important parameter for the formation evaluation, reservoir modeling, and petroleum reserve estimation. The conventional methods for determining the rock porosity are considered costly and time-consuming operations during the well...
Porosity Machine Learning Rotation
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Hybrid Pyramid Convolutional Network for Multiscale Face Detection.

Computational intelligence and neuroscience May 5, 2021
Face detection remains a challenging problem due to the high variability of scale and occlusion despite the strong representational power of deep convolutional neural networks and their implicit robustness. To handle hard face detection under extreme...
Neural Networks, Computer Rotation Algorithms Semantics
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Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples.

Neural networks : the official journal of the International Neural Network Society Apr 9, 2021
This paper deals with the development of a novel deep learning framework to achieve highly accurate rotating machinery fault diagnosis using residual wide-kernel deep convolutional auto-encoder. Unlike most existing methods, in which the input data i...
Sample Size Signal Processing, Computer-Assisted Rotation Equipment and Supplies Deep Learning
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Tuning the reversibility of hair artificial muscles by disulfide cross-linking for sensors, switches, and soft robotics.

Materials horizons Mar 25, 2021
Tensile and torsional artificial muscles from biocompatible and biodegradable materials are highly desired for soft robotics, sensors, and controllers in bio-related applications. Twisted fibers can be used to prepare tensile and torsional artificial...
Disulfides Muscle Fibers, Skeletal Robotics Rotation Water
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State of the art in parallel ankle rehabilitation robot: a systematic review.

Journal of neuroengineering and rehabilitation Mar 20, 2021
BACKGROUND: The ankle joint complex (AJC) is of fundamental importance for balance, support, and propulsion. However, it is particularly susceptible to musculoskeletal and neurological injuries, especially neurological injuries such as drop foot foll...
Peroneal Neuropathies Physical Therapy Modalities Rotation Humans Biomechanical Phenomena Equipment Design Ankle Injuries Technology Ankle Joint Stroke Robotics Ankle
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A New Steel Defect Detection Algorithm Based on Deep Learning.

Computational intelligence and neuroscience Mar 17, 2021
In recent years, more and more scholars devoted themselves to the research of the target detection algorithm due to the continuous development of deep learning. Among them, the detection and recognition of small and complex targets are still a proble...
Deep Learning Rotation Steel Neural Networks, Computer Algorithms
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A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing.

PloS one Mar 1, 2021
Rolling bearing fault diagnosis is one of the challenging tasks and hot research topics in the condition monitoring and fault diagnosis of rotating machinery. However, in practical engineering applications, the working conditions of rotating machiner...
Rotation Neural Networks, Computer Equipment Failure Analysis
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