AIMC Topic:
Computer Simulation

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Evolved Transistor Array Robot Controllers.

Evolutionary computation May 1, 2020
For the first time, a field programmable transistor array (FPTA) was used to evolve robot control circuits directly in analog hardware. Controllers were successfully incrementally evolved for a physical robot engaged in a series of visually guided be...
Equipment Design Algorithms Transistors, Electronic Speech Recognition Software Computer Simulation Genetic Phenomena Robotics Avoidance Learning Humans Neural Networks, Computer Artificial Intelligence
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Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy.

International journal of computer assisted radiology and surgery Apr 30, 2020
PURPOSE: Twin-to-twin transfusion syndrome (TTTS) is a placental defect occurring in monochorionic twin pregnancies. It is associated with high risks of fetal loss and perinatal death. Fetoscopic elective laser ablation (ELA) of placental anastomoses...
Motion Laser Therapy Fetofetal Transfusion Fetoscopy Laser Coagulation Robotics Computer Simulation Placenta Pregnancy Female Surgery, Computer-Assisted Humans Reproducibility of Results Neural Networks, Computer Deep Learning
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Synchronization criteria for quaternion-valued coupled neural networks with impulses.

Neural networks : the official journal of the International Neural Network Society Apr 30, 2020
We consider the global exponential synchronization of a category of quaternion-valued coupled neural networks (QVCNNs) with impulses in this article. It makes up for the gap of coupled neural networks with impulses in quaternion. On account of the pr...
Computer Simulation Neural Networks, Computer
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Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020
OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...
Tomography, X-Ray Computed Female Aged Aged, 80 and over Machine Learning Computer Simulation Retrospective Studies Middle Aged Hemodynamics China Adolescent Young Adult Adult Male Humans Neural Networks, Computer Intracranial Aneurysm Clinical Decision Rules Computed Tomography Angiography Cerebral Angiography Aneurysm, Ruptured Logistic Models Support Vector Machine Area Under Curve
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High quality proton portal imaging using deep learning for proton radiation therapy: a phantom study.

Biomedical physics & engineering express Apr 27, 2020
Purpose; For shoot-through proton treatments, like FLASH radiotherapy, there will be protons exiting the patient which can be used for proton portal imaging (PPI), revealing valuable information for the validation of tumor location in the beam's-eye-...
Neoplasms Humans Deep Learning Algorithms Neural Networks, Computer Signal-To-Noise Ratio Phantoms, Imaging Image Processing, Computer-Assisted Computer Simulation Radiotherapy Nonlinear Dynamics Protons Proton Therapy Reproducibility of Results Scattering, Radiation
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Comparison of statistical and machine learning models for healthcare cost data: a simulation study motivated by Oncology Care Model (OCM) data.

BMC health services research Apr 25, 2020
BACKGROUND: The Oncology Care Model (OCM) was developed as a payment model to encourage participating practices to provide better-quality care for cancer patients at a lower cost. The risk-adjustment model used in OCM is a Gamma generalized linear mo...
Humans Machine Learning Computer Simulation Linear Models Risk Adjustment Models, Statistical Medical Oncology Health Care Costs
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Building machine learning models without sharing patient data: A simulation-based analysis of distributed learning by ensembling.

Journal of biomedical informatics Apr 23, 2020
The development of machine learning solutions in medicine is often hindered by difficulties associated with sharing patient data. Distributed learning aims to train machine learning models locally without requiring data sharing. However, the utility ...
Machine Learning Computer Simulation Support Vector Machine Humans Neural Networks, Computer
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Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms.

Scientific reports Apr 23, 2020
Attempting to imitate the brain's functionalities, researchers have bridged between neuroscience and artificial intelligence for decades; however, experimental neuroscience has not directly advanced the field of machine learning (ML). Here, using neu...
Algorithms Brain Computer Simulation Adaptation, Physiological Humans Artificial Intelligence Machine Learning
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Leveraging vision and kinematics data to improve realism of biomechanic soft tissue simulation for robotic surgery.

International journal of computer assisted radiology and surgery Apr 22, 2020
PURPOSE: Surgical simulations play an increasingly important role in surgeon education and developing algorithms that enable robots to perform surgical subtasks. To model anatomy, finite element method (FEM) simulations have been held as the gold sta...
Robotic Surgical Procedures Phantoms, Imaging Models, Anatomic Algorithms Computer Simulation Humans Biomechanical Phenomena Neural Networks, Computer Deep Learning
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Bio-inspired multi-scale fusion.

Biological cybernetics Apr 22, 2020
We reveal how implementing the homogeneous, multi-scale mapping frameworks observed in the mammalian brain's mapping systems radically improves the performance of a range of current robotic localization techniques. Roboticists have developed a range ...
Recognition, Psychology Spatial Navigation Rodentia Place Cells Datasets as Topic Movement Entorhinal Cortex Algorithms Brain Mapping Computer Simulation Robotics Animals
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