AIMC Topic: Rotation

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A Novel Tactile Function Assessment Using a Miniature Tactile Stimulator.

Sensors (Basel, Switzerland) Feb 7, 2023
Several methods for the measurement of tactile acuity have been devised previously, but unexpected nonspatial cues and intensive manual skill requirements compromise measurement accuracy. Therefore, we must urgently develop an automated, accurate, an...
Humans Healthy Volunteers Cues Rotation Robotics
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Continual learning with attentive recurrent neural networks for temporal data classification.

Neural networks : the official journal of the International Neural Network Society Nov 11, 2022
Continual learning is an emerging research branch of deep learning, which aims to learn a model for a series of tasks continually without forgetting knowledge obtained from previous tasks. Despite receiving a lot of attention in the research communit...
Attention Data Mining Rotation Neural Networks, Computer
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Accuracy evaluation of hand-eye calibration techniques for vision-guided robots.

PloS one Oct 19, 2022
Hand-eye calibration is an important step in controlling a vision-guided robot in applications like part assembly, bin picking and inspection operations etc. Many methods for estimating hand-eye transformations have been proposed in literature with v...
Rotation Robotics Calibration Algorithms Hand
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Technical note: A method to synthesize magnetic resonance images in different patient rotation angles with deep learning for gantry-free radiotherapy.

Medical physics Oct 18, 2022
BACKGROUND: Recently, patient rotating devices for gantry-free radiotherapy, a new approach to implement external beam radiotherapy, have been introduced. When a patient is rotated in the horizontal position, gravity causes anatomic deformation. For ...
Male Deep Learning Computer Simulation Rotation Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging Image Processing, Computer-Assisted Humans Patient Positioning
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3DMol-Net: Learn 3D Molecular Representation Using Adaptive Graph Convolutional Network Based on Rotation Invariance.

IEEE journal of biomedical and health informatics Oct 4, 2022
Studying the deep learning-based molecular representation has great significance on predicting molecular property, promoted the development of drug screening and new drug discovery, and improving human well-being for avoiding illnesses. It is essenti...
Rotation Drug Discovery Humans Neural Networks, Computer
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Design, development and evaluation of an ergonomically designed dual-use mechanism for robot-assisted cardiovascular intervention.

International journal of computer assisted radiology and surgery Oct 3, 2022
PURPOSE: Robot-assisted cardiovascular intervention has been recently developed, which enables interventionists to avoid x-ray radiation and improve their comfort. However, there are still some challenges in the robotic design, such as the inability ...
Robotic Surgical Procedures Rotation Robotics Equipment Design Biomechanical Phenomena Humans
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An Improved Deep Residual Convolutional Neural Network for Plant Leaf Disease Detection.

Computational intelligence and neuroscience Sep 14, 2022
In this research, we proposed a novel deep residual convolutional neural network with 197 layers (ResNet197) for the detection of various plant leaf diseases. Six blocks of layers were used to develop ResNet197. ResNet197 was trained and tested using...
Plant Leaves Rotation Image Processing, Computer-Assisted Plant Diseases Neural Networks, Computer
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Interactive and synergistic behaviours of multiple heterogeneous microrobots.

Lab on a chip Sep 13, 2022
Microrobots have been extensively studied for biomedical applications, and significant innovations and advances have been made in diverse aspects of the field. However, most studies have been based on individual microrobots with limited capabilities,...
Magnetic Fields Rotation Hydrodynamics Robotics
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Oblique and rotation double random forest.

Neural networks : the official journal of the International Neural Network Society Jun 18, 2022
Random Forest is an ensemble of decision trees based on the bagging and random subspace concepts. As suggested by Breiman, the strength of unstable learners and the diversity among them are the ensemble models' core strength. In this paper, we propos...
Rotation Support Vector Machine Algorithms Principal Component Analysis
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Comparison of Transfer Learning Models in Pelvic Tilt and Rotation Measurement in Pediatric Anteroposterior Pelvic Radiographs.

Journal of digital imaging Jun 16, 2022
The rotation and tilt of the pelvis during anteroposterior pelvic radiography can lead to misdiagnosis of developmental dysplasia of the hip (DDH) in children. At present, no method exists for accurately and conveniently measuring the precise rotatio...
Diagnostic Errors Radiography Child Humans Machine Learning Rotation Pelvis
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