AIMC Topic: Calibration

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Potential of hyperspectral imaging for nondestructive determination of α-farnesene and conjugated trienol content in 'Yali' pear.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jun 19, 2024
The sesquiterpene α-farnesene and its corresponding oxidation products, namely conjugated trienols (CTols) is well known to be correlated with the development of superficial scald, a typical physiological disorder after a long term of cold storage in...
Hyperspectral Imaging Calibration Pyrus Least-Squares Analysis Algorithms Fruit Support Vector Machine Sesquiterpenes
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Advancing neural network calibration: The role of gradient decay in large-margin Softmax optimization.

Neural networks : the official journal of the International Neural Network Society Jun 11, 2024
This study introduces a novel hyperparameter in the Softmax function to regulate the rate of gradient decay, which is dependent on sample probability. Our theoretical and empirical analyses reveal that both model generalization and calibration are si...
Calibration Algorithms Probability Humans Neural Networks, Computer Machine Learning
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Emulator-Based Bayesian Calibration of the CISNET Colorectal Cancer Models.

Medical decision making : an international journal of the Society for Medical Decision Making Jun 10, 2024
PURPOSE: To calibrate Cancer Intervention and Surveillance Modeling Network (CISNET)'s SimCRC, MISCAN-Colon, and CRC-SPIN simulation models of the natural history colorectal cancer (CRC) with an emulator-based Bayesian algorithm and internally valida...
Humans Neural Networks, Computer Bayes Theorem Calibration Monte Carlo Method Algorithms Computer Simulation Colorectal Neoplasms
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Development of a machine learning-based model to predict prognosis of alpha-fetoprotein-positive hepatocellular carcinoma.

Journal of translational medicine May 13, 2024
BACKGROUND: Patients with alpha-fetoprotein (AFP)-positive hepatocellular carcinoma (HCC) have aggressive biological behavior and poor prognosis. Therefore, survival time is one of the greatest concerns for patients with AFP-positive HCC. This study ...
Prognosis Female Male Machine Learning Algorithms Area Under Curve alpha-Fetoproteins Calibration ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Humans
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Calibrating Deep Learning Classifiers for Patient-Independent Electroencephalogram Seizure Forecasting.

Sensors (Basel, Switzerland) Apr 30, 2024
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable perform...
Machine Learning Algorithms Deep Learning Electroencephalography Epilepsy Humans Seizures Calibration Signal Processing, Computer-Assisted
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Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.

Sensors (Basel, Switzerland) Apr 15, 2024
This study aims to enhance diagnostic capabilities for optimising the performance of the anaerobic sewage treatment lagoon at Melbourne Water's Western Treatment Plant (WTP) through a novel machine learning (ML)-based monitoring strategy. This strate...
Anaerobiosis Bayes Theorem Neural Networks, Computer Sewage Machine Learning Biofuels Calibration Monte Carlo Method
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A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions.

Scientific reports Apr 8, 2024
This work presents a deep learning approach for rapid and accurate muscle water T with subject-specific fat T calibration using multi-spin-echo acquisitions. This method addresses the computational limitations of conventional bi-component Extended Ph...
Magnetic Resonance Imaging Calibration Phantoms, Imaging Muscles Deep Learning Water Image Processing, Computer-Assisted Algorithms Brain
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Global prediction of extreme floods in ungauged watersheds.

Nature Mar 20, 2024
Floods are one of the most common natural disasters, with a disproportionate impact in developing countries that often lack dense streamflow gauge networks. Accurate and timely warnings are critical for mitigating flood risks, but hydrological simula...
Rivers Calibration Reproducibility of Results Disaster Planning Floods Artificial Intelligence Forecasting Hydrology Time Factors Computer Simulation
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The development of a prediction model based on deep learning for prognosis prediction of gastrointestinal stromal tumor: a SEER-based study.

Scientific reports Mar 19, 2024
Accurately predicting the prognosis of Gastrointestinal stromal tumor (GIST) patients is an important task. The goal of this study was to create and assess models for GIST patients' survival patients using the Surveillance, Epidemiology, and End Resu...
Gastrointestinal Stromal Tumors Calibration Area Under Curve SEER Program Prognosis Humans Deep Learning Nomograms
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EMG-based Multi-User Hand Gesture Classification via Unsupervised Transfer Learning Using Unknown Calibration Gestures.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 12, 2024
The poor generalization performance and heavy training burden of the gesture classification model contribute as two main barriers that hinder the commercialization of sEMG-based human-machine interaction (HMI) systems. To overcome these challenges, e...
Electromyography Machine Learning Humans Calibration Algorithms Neural Networks, Computer Gestures
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