Explainable Deep Learning-Assisted Fluorescence Discrimination for Aminoglycoside Antibiotic Identification.
Sign Up to like & getrecommendations! Published in 2022 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.1c03508
Abstract: The complexity and multivariate analysis of biological systems and environment are the drawbacks of the current high-throughput sensing method and multianalyte identification. Deep learning (DL) algorithms contribute a big advantage in analyzing the nonlinear and… read more here.
Keywords: explainable deep; identification; discrimination; analysis ... See more keywords
Explainable Deep Learning for Supervised Seismic Facies Classification Using Intrinsic Method
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3236500
Abstract: Deep-learning (DL) techniques have been proposed to solve geophysical seismic facies classification problems without introducing the subjectivity of human interpreters’ decisions. However, such DL algorithms are “black boxes” by nature, and the underlying basis can… read more here.
Keywords: explainable deep; classification; learning supervised; facies classification ... See more keywords
Explainable Deep Neural Network for Design of Electric Motors
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Magnetics"
DOI: 10.1109/tmag.2021.3063141
Abstract: This study presents a novel two-step optimization method that incorporates explainable neural networks into topology optimization. The deep neural network (DNN) is trained to infer the torque performance from the input image of the motor… read more here.
Keywords: neural network; deep neural; explainable deep; average torque ... See more keywords
Explainable Deep Learning Model for EMG-Based Finger Angle Estimation Using Attention
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3188275
Abstract: Electromyography (EMG) is one of the most common methods to detect muscle activities and intentions. However, it has been difficult to estimate accurate hand motions represented by the finger joint angles using EMG signals. We… read more here.
Keywords: learning model; explainable deep; deep learning; model ... See more keywords
An Explainable Deep Learning Model to Prediction Dental Caries Using Panoramic Radiograph Images
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13020226
Abstract: Dental caries is the most frequent dental health issue in the general population. Dental caries can result in extreme pain or infections, lowering people’s quality of life. Applying machine learning models to automatically identify dental… read more here.
Keywords: learning model; explainable deep; dental caries; deep learning ... See more keywords