AIMC Topic: Radio Waves

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Clipped DeepControl: Deep neural network two-dimensional pulse design with an amplitude constraint layer.

Artificial intelligence in medicine Nov 24, 2022
Advanced radio-frequency pulse design used in magnetic resonance imaging has recently been demonstrated with deep learning of (convolutional) neural networks and reinforcement learning. For two-dimensionally selective radio-frequency pulses, the (con...
Neural Networks, Computer Phantoms, Imaging Radio Waves Heart Rate Magnetic Resonance Imaging
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Super-Resolved Microbubble Localization in Single-Channel Ultrasound RF Signals Using Deep Learning.

IEEE transactions on medical imaging Aug 31, 2022
Recently, super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) has received much attention. However, ULM relies on low concentrations of microbubbles in the blood vessels, ultimately resulting in long acquisition times. H...
Radio Waves Microbubbles Ultrasonography Deep Learning Microscopy Contrast Media
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Design and applications of water irradiation devoid RF pulses for ultra-high field biomolecular NMR spectroscopy.

Physical chemistry chemical physics : PCCP Aug 10, 2022
Water suppression is of paramount importance for many biological and analytical NMR spectroscopy applications. Here, we report the design of a new set of binomial-like radio frequency (RF) pulses that elude water irradiation while exciting or refocus...
Water Magnetic Resonance Imaging Algorithms Artificial Intelligence Magnetic Resonance Spectroscopy Radio Waves Nuclear Magnetic Resonance, Biomolecular
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Machine Learning Techniques Based on Primary User Emulation Detection in Mobile Cognitive Radio Networks.

Sensors (Basel, Switzerland) Jun 21, 2022
Mobile cognitive radio networks (MCRNs) have arisen as an alternative mobile communication because of the spectrum scarcity in actual mobile technologies such as 4G and 5G networks. MCRN uses the spectral holes of a primary user (PU) to transmit its ...
Support Vector Machine Radio Waves Software Cognition Machine Learning
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Multi-Tone Harmonic Balance Optimization for High-Power Amplifiers through Coarse and Fine Models Based on X-Parameters.

Sensors (Basel, Switzerland) Jun 6, 2022
In this study, we focus on automated optimization design methodologies to concurrently trade off between power gain, output power, efficiency, and linearity specifications in radio frequency (RF) high-power amplifiers (HPAs) through deep neural netwo...
Amplifiers, Electronic Radio Waves Neural Networks, Computer Humans
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Transfer Learning for Radio Frequency Machine Learning: A Taxonomy and Survey.

Sensors (Basel, Switzerland) Feb 12, 2022
Transfer learning is a pervasive technology in computer vision and natural language processing fields, yielding exponential performance improvements by leveraging prior knowledge gained from data with different distributions. However, while recent wo...
Surveys and Questionnaires Machine Learning Radio Waves Technology Natural Language Processing
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Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks.

Ultrasonics Jan 14, 2022
In this paper, we propose a novel deep learning method for joint classification and segmentation of breast masses based on radio-frequency (RF) ultrasound (US) data. In comparison to commonly used classification and segmentation techniques, utilizing...
Radio Waves Data Compression Breast Diseases Ultrasonography, Mammary Retrospective Studies Neural Networks, Computer Humans Diagnosis, Differential
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Support Vector Regression for Mobile Target Localization in Indoor Environments.

Sensors (Basel, Switzerland) Jan 4, 2022
Trilateration-based target localization using received signal strength (RSS) in a wireless sensor network (WSN) generally yields inaccurate location estimates due to high fluctuations in RSS measurements in indoor environments. Improving the localiza...
Neural Networks, Computer Computer Simulation Algorithms Radio Waves Motion
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Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range.

Sensors (Basel, Switzerland) Sep 13, 2021
Hyperspectral reflectance imaging in the short-wave infrared range (SWIR, "extended NIR", ca. 1000 to 2500 nm) has proven to provide enhanced characterization of paint materials. However, the interpretation of the results remains challenging due to t...
Artificial Intelligence Pigmentation Neural Networks, Computer Diagnostic Imaging Radio Waves
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Use of Machine Learning for the Estimation of Down- and Up-Link Field Exposure in Multi-Source Indoor WiFi Scenarios.

Bioelectromagnetics Jul 23, 2021
A novel Machine Learning (ML) method based on Neural Networks (NN) is proposed to assess radio-frequency (RF) exposure generated by WiFi sources in indoor scenarios. The aim was to build an NN capable of addressing the complexity and variability of r...
Radio Waves Neural Networks, Computer Humans Machine Learning
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