AIMC Topic: Acceleration

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A novel ramp loss-based multi-task twin support vector machine with multi-parameter safe acceleration.

Neural networks : the official journal of the International Neural Network Society Mar 10, 2022
Direct multi-task twin support vector machine (DMTSVM) is an effective algorithm to deal with multi-task classification problems. However, the generated hyperplane may shift to outliers since the hinge loss is used in DMTSVM. Therefore, we propose an...
Support Vector Machine Algorithms Acceleration Carbonyl Cyanide m-Chlorophenyl Hydrazone
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Damage Detection in Largely Unobserved Structures under Varying Environmental Conditions: An AutoRegressive Spectrum and Multi-Level Machine Learning Methodology.

Sensors (Basel, Switzerland) Feb 11, 2022
Vibration-based damage detection in civil structures using data-driven methods requires sufficient vibration responses acquired with a sensor network. Due to technical and economic reasons, it is not always possible to deploy a large number of sensor...
Acceleration Physical Therapy Modalities Vibration Machine Learning
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An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors.

Sensors (Basel, Switzerland) Feb 10, 2022
Action statistics in sports, such as the number of sprints and jumps, along with the details of the corresponding locomotor actions, are of high interest to coaches and players, as well as medical staff. Current video-based systems have the disadvant...
Wearable Electronic Devices Acceleration Neural Networks, Computer Soccer Humans Deep Learning
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Energy Expenditure Estimation of Tabata by Combining Acceleration and Heart Rate.

Frontiers in public health Feb 7, 2022
Tabata training plays an important role in health promotion. Effective monitoring of exercise energy expenditure is an important basis for exercisers to adjust their physical activities to achieve exercise goals. The input of acceleration combined wi...
Energy Metabolism Exercise Young Adult Heart Rate Humans Acceleration Adolescent Adult Neural Networks, Computer
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A support vector machine algorithm can successfully classify running ability when trained with wearable sensor data from anatomical locations typical of consumer technology.

Sports biomechanics Jan 20, 2022
Greater understanding of differences in technique between runners may allow more beneficial feedback related to improving performance and decreasing injury risk. The purpose of this study was to develop and test a support vector machine classifier, w...
Young Adult Adult Humans Female Wearable Electronic Devices Support Vector Machine Running Biomechanical Phenomena Male Acceleration Upper Extremity Accelerometry
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Testing the effects of body depth on fish maneuverability via robophysical models.

Bioinspiration & biomimetics Nov 29, 2021
Fish show a wide diversity of body shapes which affect many aspects of their biology, including swimming and feeding performance, and defense from predators. Deep laterally compressed bodies are particularly common, and have evolved multiple times in...
Robotics Fishes Acceleration Swimming Biomechanical Phenomena Animals Humans
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Multi-band- and in-plane-accelerated diffusion MRI enabled by model-based deep learning in q-space and its extension to learning in the spherical harmonic domain.

Magnetic resonance in medicine Nov 26, 2021
PURPOSE: To propose a new method for the recovery of combined in-plane- and multi-band (MB)-accelerated diffusion MRI data.
Diffusion Magnetic Resonance Imaging Algorithms Brain Image Processing, Computer-Assisted Deep Learning Acceleration
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A Deep Learning Approach for Foot Trajectory Estimation in Gait Analysis Using Inertial Sensors.

Sensors (Basel, Switzerland) Nov 12, 2021
Gait performance is an important marker of motor and cognitive decline in older adults. An instrumented gait analysis resorting to inertial sensors allows the complete evaluation of spatiotemporal gait parameters, offering an alternative to laborator...
Aged Young Adult Deep Learning Walking Humans Gait Gait Analysis Acceleration Foot
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Deep learning-accelerated T2-weighted imaging of the prostate: Impact of further acceleration with lower spatial resolution on image quality.

European journal of radiology Oct 30, 2021
PURPOSE: To compare image quality in prostate MRI among standard T2-weighted imaging (T2-std), accelerated T2-weighted imaging (T2WI) with high resolution (T2-HR) and more accelerated T2WI with lower resolution (T2-LR) using both conventional reconst...
Male Deep Learning Humans Acceleration Artifacts Magnetic Resonance Imaging Prostate
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Structural Response Prediction for Damage Identification Using Wavelet Spectra in Convolutional Neural Network.

Sensors (Basel, Switzerland) Oct 13, 2021
If damage to a building caused by an earthquake is not detected immediately, the opportunity to decide on quick action, such as evacuating the building, is lost. For this reason, it is necessary to develop modern technologies that can quickly obtain ...
Earthquakes Neural Networks, Computer Acceleration
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