AIMC Topic: Microwaves

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Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Scientific reports Jul 2, 2025
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att...
Neural Networks, Computer Female Adult Male Humans Blood Glucose Biosensing Techniques Blood Glucose Self-Monitoring Microwaves Middle Aged Convolutional Neural Networks Fasting
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Machine learning optimization of microwave-assisted extraction of phenolics and tannins from pomegranate peel.

Scientific reports Jun 3, 2025
The peel of pomegranate (Punica granatum) is rich in bioactive compounds, specifically phenolic compounds and tannin compounds. However, there is still a lot of difficulty dealing with the extraction of these substances due to the limitations of trad...
Tannins Microwaves Pomegranate Machine Learning Fruit Antioxidants Plant Extracts Phenols
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Predicting the efficacy of microwave ablation of benign thyroid nodules from ultrasound images using deep convolutional neural networks.

BMC medical informatics and decision making Apr 11, 2025
BACKGROUND: Thyroid nodules are frequent in clinical settings, and their diagnosis in adults is growing, with some persons experiencing symptoms. Ultrasound-guided thermal ablation can shrink nodules and alleviate discomfort. Because the degree and r...
Convolutional Neural Networks Adolescent Thyroid Nodule Ultrasonography, Interventional Male Middle Aged Deep Learning Microwaves Radiofrequency Ablation Humans Female Young Adult Adult Aged Aged, 80 and over
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Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 2, 2025
OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-VIBE) on image quality and procedural parameters during MR-guided thermoablation of liver malignancies, compared to standard VIBE (SD-VIBE).
Retrospective Studies Female Aged Male Humans Ablation Techniques Magnetic Resonance Imaging Liver Microwaves Middle Aged Magnetic Resonance Imaging, Interventional Deep Learning Liver Neoplasms
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Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization.

International journal of biological macromolecules Mar 8, 2025
This study aimed to optimize pectin extraction from watermelon (Citrullus lanatus) rind using sequential ultrasound-microwave assisted extraction (UMAE) with artificial neural network (ANN) and response surface methodology (RSM). The effects of pH, s...
Chemical Fractionation Ultrasonic Waves Microwaves Neural Networks, Computer Pectins Viscosity Hydrogen-Ion Concentration Spectroscopy, Fourier Transform Infrared Citrullus Sonication
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Sustainable extraction of phytochemicals from Mentha arvensis using supramolecular eutectic solvent via microwave Irradiation: Unveiling insights with CatBoost-Driven feature analysis.

Ultrasonics sonochemistry Mar 4, 2025
The present study revealed the higher extraction potential of sustainable choline chloride (ChCl) and ethylene glycol (EG) based deep eutectic solvent (DES) from Mentha arvensis via microwave irradiation. The categorical boosting (CatBoost) machine l...
Boosting Machine Learning Algorithms Solvents Chemical Fractionation Microwaves Deep Eutectic Solvents Biomass Machine Learning Phytochemicals Mentha
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An Integrated Microfluidic Microwave Array Sensor with Machine Learning for Enrichment and Detection of Mixed Biological Solution.

Biosensors Jan 13, 2025
In this work, an integrated microfluidic microwave array sensor is proposed for the enrichment and detection of mixed biological solution. In individuals with urinary tract infections or intestinal health issues, the levels of white blood cells (WBCs...
Microfluidics Microwaves Lab-On-A-Chip Devices Machine Learning Biosensing Techniques Escherichia coli Leukocytes Humans
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HepNet: Deep Neural Network for Classification of Early-Stage Hepatic Steatosis Using Microwave Signals.

IEEE journal of biomedical and health informatics Jan 7, 2025
Hepatic steatosis, a key factor in chronic liver diseases, is difficult to diagnose early. This study introduces a classifier for hepatic steatosis using microwave technology, validated through clinical trials. Our method uses microwave signals and d...
Deep Learning Liver Humans Fatty Liver Signal Processing, Computer-Assisted Neural Networks, Computer Microwaves
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Pneumothorax Hemoptysis Treatment Outcome Predictive Value of Tests Natural Language Processing Feasibility Studies Humans Middle Aged Recurrence Aged Time Factors Neoplasm Recurrence, Local Retrospective Studies Large Language Models Female Male Lung Neoplasms Electronic Health Records Data Mining Hemothorax Reproducibility of Results Microwaves Ablation Techniques
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A review on the role of various machine learning algorithms in microwave-assisted pyrolysis of lignocellulosic biomass waste.

Journal of environmental management Nov 11, 2024
The fourth industrial revolution will heavily rely on machine learning (ML). The rationale is that these strategies make various business operations in many sectors easier. ML modeling is the discovery of hidden patterns between multiple process para...
Lignin Machine Learning Algorithms Microwaves Biomass Pyrolysis
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