AIMC Topic: Electromagnetic Fields
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Precise Electromagnetic Modulation of the Cell Cycle and Its Applications in Cancer Therapy.
International journal of molecular sciences
May 7, 2025
Precise modulation of the cell cycle via electromagnetic (EM) control presents a groundbreaking approach for cancer therapy, especially in the development of personalized treatment strategies. EM fields can precisely regulate key cellular homeostatic...
AI-based forecasting of dynamic behaviors of Ag and ZnO nanoparticles-enhanced milk in an electromagnetic channel with exponential heating: dairy decontamination.
The European physical journal. E, Soft matter
Apr 17, 2025
Electromagnetic plates can be used to heat milk and other dairy products rapidly and uniformly. The use of electromagnetic fields enables precise thermal control, which is crucial for safe pasteurization while retaining the nutritional and sensory qu...
A Comparative Analysis of Explainable Artificial Intelligence Models for Electric Field Strength Prediction over Eight European Cities.
Sensors (Basel, Switzerland)
Dec 25, 2024
The widespread propagation of wireless communication devices, from smartphones and tablets to Internet of Things (IoT) systems, has become an integral part of modern life. However, the expansion of wireless technology has also raised public concern a...
Deep learning-based near-field effect correction method for Controlled Source Electromagnetic Method and application.
PloS one
Nov 11, 2024
Addressing the impact of near-field effects in the Controlled Source Electromagnetic Method(CSEM) has long been a focal point in the realm of geophysical exploration. Therefore, we propose a deep learning-based near-field correction method for contro...
Robust EMI elimination for RF shielding-free MRI through deep learning direct MR signal prediction.
Magnetic resonance in medicine
Feb 20, 2024
PURPOSE: To develop a new electromagnetic interference (EMI) elimination strategy for RF shielding-free MRI via active EMI sensing and deep learning direct MR signal prediction (Deep-DSP).
Energy controls wave propagation in a neural network with spatial stimuli.
Neural networks : the official journal of the International Neural Network Society
Nov 30, 2023
Nervous system has distinct anisotropy and some intrinsic biophysical properties enable neurons present various firing modes in neural activities. In presence of realistic electromagnetic fields, non-uniform radiation activates these neurons with ene...
Mammography using low-frequency electromagnetic fields with deep learning.
Scientific reports
Aug 15, 2023
In this paper, a novel technique for detecting female breast anomalous tissues is presented and validated through numerical simulations. The technique, to a high degree, resembles X-ray mammography; however, instead of using X-rays for obtaining imag...
Electromagnetic interference elimination via active sensing and deep learning prediction for radiofrequency shielding-free MRI.
NMR in biomedicine
May 28, 2023
At present, MRI scans are typically performed inside fully enclosed radiofrequency (RF) shielding rooms, posing stringent installation requirements and causing patient discomfort. We aim to eliminate electromagnetic interference (EMI) for MRI with no...
Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model.
Sensors (Basel, Switzerland)
Mar 15, 2023
Determining the amount of electromagnetic wave energy absorbed by the human body is an important issue in the analysis of wireless systems. Typically, numerical methods based on Maxwell's equations and numerical models of the body are used for this p...
A comprehensive deep learning method for empirical spectral prediction and its quantitative validation of nano-structured dimers.
Scientific reports
Jan 20, 2023
Nanophotonics exploits the best of photonics and nanotechnology which has transformed optics in recent years by allowing subwavelength structures to enhance light-matter interactions. Despite these breakthroughs, design, fabrication, and characteriza...
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