AIMC Topic: Acceleration

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Fabric muscle with a cooling acceleration structure for upper limb assistance soft exosuits.

Scientific reports Jul 6, 2022
Soft exosuits used for supporting human muscle strength must be lightweight and wearable. Shape memory alloy (SMA) spring-based fabric muscles (SFM) are light and flexible, making them suitable for soft and shape-conformable exosuits. However, SFMs h...
Robotics Acceleration Humans Muscles Textiles Upper Extremity
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Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI.

Investigative radiology Jul 1, 2022
OBJECTIVES: This study aimed to examine various combinations of parallel imaging (PI) and simultaneous multislice (SMS) acceleration imaging using deep learning (DL)-enhanced and conventional reconstruction. The study also aimed at comparing the diag...
Adult Middle Aged Aged Acceleration Joint Diseases Deep Learning Reproducibility of Results Female Humans Retrospective Studies Magnetic Resonance Imaging
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Deep learning-based acceleration of Compressed Sense MR imaging of the ankle.

European radiology Jun 25, 2022
OBJECTIVES: To evaluate a compressed sensing artificial intelligence framework (CSAI) to accelerate MRI acquisition of the ankle.
Humans Prospective Studies Artificial Intelligence Artifacts Ankle Acceleration Deep Learning Signal-To-Noise Ratio Imaging, Three-Dimensional Magnetic Resonance Imaging
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Simultaneously optimizing sampling pattern for joint acceleration of multi-contrast MRI using model-based deep learning.

Medical physics Jun 20, 2022
BACKGROUND: Acceleration of MR imaging (MRI) is a popular research area, and usage of deep learning for acceleration has become highly widespread in the MR community. Joint acceleration of multiple-acquisition MRI was proven to be effective over a si...
Magnetic Resonance Imaging Knee Joint Image Processing, Computer-Assisted Acceleration Deep Learning Brain
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Towards Convolutional Neural Network Acceleration and Compression Based on -Means.

Sensors (Basel, Switzerland) Jun 6, 2022
Convolutional Neural Networks (CNNs) are popular models that are widely used in image classification, target recognition, and other fields. Model compression is a common step in transplanting neural networks into embedded devices, and it is often use...
Physical Phenomena Data Compression Algorithms Acceleration Neural Networks, Computer
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Optimizing the Deep Neural Networks by Layer-Wise Refined Pruning and the Acceleration on FPGA.

Computational intelligence and neuroscience Jun 1, 2022
To accelerate the practical applications of artificial intelligence, this paper proposes a high efficient layer-wise refined pruning method for deep neural networks at the software level and accelerates the inference process at the hardware level on ...
Acceleration Artificial Intelligence Software Neural Networks, Computer
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Comparative Study of Structural Anomaly Diagnosis Based on ANN Model Using Random Displacement and Acceleration Responses with Incomplete Measurements.

Sensors (Basel, Switzerland) May 29, 2022
Structural anomaly diagnosis, such as damage identification, is a continuously interesting issue. Artificial neural networks have an excellent ability to model complex structure dynamics. In this paper, an artificial neural network model is used to d...
Vibration Neural Networks, Computer Acceleration
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Real-time time-optimal continuous multi-axis trajectory planning using the trajectory index coordination method.

ISA transactions May 27, 2022
Real-time time-optimal trajectory planning exists in a wide range of applications such as computer numerical control (CNC) manufacturing, robotics and autonomous vehicles. Generally, the methods to generate time-optimal trajectory can be categorized ...
Acceleration Robotics
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Prognostics of unsupported railway sleepers and their severity diagnostics using machine learning.

Scientific reports Apr 11, 2022
Railway sleepers are safety-critical components of a railway structure. They support ballasted track superstructure and are a critical factor in track geometry and track components' deterioration. Unsupported sleepers are a common issue incurred afte...
Neural Networks, Computer Acceleration Machine Learning Prognosis
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A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks.

Neural networks : the official journal of the International Neural Network Society Mar 11, 2022
The first-order optimizers in deep neural networks (DNN) are of pivotal essence for a concrete loss function to reach the local minimum or global one on the loss surface within convergence time. However, each optimizer possesses its own superiority a...
Acceleration Data Collection Neural Networks, Computer Algorithms
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