AIMC Topic: Radio Waves

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Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells.

International journal of environmental research and public health Jun 26, 2020
The emergence of new technologies to incorporate and analyze data with high-performance computing has expanded our capability to accurately predict any incident. Supervised Machine learning (ML) can be utilized for a fast and consistent prediction, a...
Humans Area Under Curve Supervised Machine Learning Radio Waves Algorithms Cells, Cultured Animals
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Sensor-Aided EMF Exposure Assessments in an Urban Environment Using Artificial Neural Networks.

International journal of environmental research and public health Apr 28, 2020
This paper studies the time and space mapping of the electromagnetic field (EMF) exposure induced by cellular base station antennas (BSA) using artificial neural networks (ANN). The reconstructed EMF exposure map (EEM) in urban environment is obtaine...
Electromagnetic Fields Neural Networks, Computer Radio Waves Cities Environmental Exposure
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Learning-based estimation of dielectric properties and tissue density in head models for personalized radio-frequency dosimetry.

Physics in medicine and biology Mar 11, 2020
Radio-frequency dosimetry is an important process in assessments for human exposure safety and for compliance of related products. Recently, computational human models generated from medical images have often been used for such assessment, especially...
Machine Learning Head Image Processing, Computer-Assisted Humans Radiometry Magnetic Resonance Imaging Radio Waves
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Noninvasive Diagnosis of Nonalcoholic Fatty Liver Disease and Quantification of Liver Fat with Radiofrequency Ultrasound Data Using One-dimensional Convolutional Neural Networks.

Radiology Feb 25, 2020
Background Radiofrequency ultrasound data from the liver contain rich information about liver microstructure and composition. Deep learning might exploit such information to assess nonalcoholic fatty liver disease (NAFLD). Purpose To develop and eval...
Neural Networks, Computer Prospective Studies Female Humans Ultrasonography Image Processing, Computer-Assisted Magnetic Resonance Imaging Sensitivity and Specificity Male Middle Aged Random Allocation Predictive Value of Tests Non-alcoholic Fatty Liver Disease Radio Waves
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Post-processing radio-frequency signal based on deep learning method for ultrasonic microbubble imaging.

Biomedical engineering online Sep 11, 2019
BACKGROUND: Improving imaging quality is a fundamental problem in ultrasound contrast agent imaging (UCAI) research. Plane wave imaging (PWI) has been deemed as a potential method for UCAI due to its' high frame rate and low mechanical index. High fr...
Arteries Radio Waves Ultrasonography Image Processing, Computer-Assisted Abdomen Contrast Media Rabbits Microbubbles Animals Deep Learning
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Lessons learned from the application of machine learning to studies on plant response to radio-frequency.

Environmental research Aug 16, 2019
This paper applies Machine Learning (ML) algorithms to peer-reviewed publications in order to discern whether there are consistent biological impacts of exposure to non-thermal low power radio-frequency electromagnetic fields (RF-EMF). Expanding on p...
Radio Waves Environmental Exposure Electromagnetic Fields Humans Machine Learning Forecasting
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SmartPulse, a machine learning approach for calibration-free dynamic RF shimming: Preliminary study in a clinical environment.

Magnetic resonance in medicine Jun 30, 2019
PURPOSE: A calibration-free pulse design method is introduced to alleviate artifacts in clinical routine with parallel transmission at high field, dealing with significant inter-subject variability, found for instance in the abdomen.
Aged Aged, 80 and over Young Adult Adult Male Middle Aged Algorithms Female Reproducibility of Results Humans Artifacts Machine Learning Magnetic Resonance Imaging Image Processing, Computer-Assisted Calibration Cluster Analysis Radio Waves Abdomen Image Interpretation, Computer-Assisted Body Mass Index
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Localization strategies for robotic endoscopic capsules: a review.

Expert review of medical devices May 6, 2019
INTRODUCTION: Nowadays, mass screening campaigns for colorectal cancer diagnosis in the early and curable stage is essential yet limited due to many reasons, for example, invasiveness, fear of pain, and embarrassment for patients. Indeed, mass screen...
Magnetics Radio Waves Electromagnetic Radiation Humans Robotics Capsule Endoscopy
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Ultrafast (milliseconds), multidimensional RF pulse design with deep learning.

Magnetic resonance in medicine Mar 30, 2019
PURPOSE: Some advanced RF pulses, like multidimensional RF pulses, are often long and require substantial computation time because of a number of constraints and requirements, sometimes hampering clinical use. However, the pulses offer opportunities ...
Magnetic Resonance Imaging Phantoms, Imaging Radio Waves Humans Deep Learning Databases, Factual Time Factors Male
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Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques.

PloS one Mar 29, 2018
The establishment and improvement of transmission systems rely on models that take into account, (among other factors), the geographical features of the region, as these can lead to signal degradation. This is particularly important in Brazil, where ...
Seasons Brazil Television Humans Time Factors Radio Waves Machine Learning Models, Theoretical
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