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-Assisted Self-Calibrating Colorimetric Patches for In Situ Sweat Analysis.
Sign Up to like & getrecommendations! Published in 2024 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.3c04368
Abstract: Sweat has emerged as a compelling analyte for noninvasive biosensing technology because it contains a wealth of important biomarkers in hormones, organic biomacromolecules, and various ionic mixtures. These components offer valuable insights and can reflect… read more here.
Keywords: deep learning; analysis; explainable deep; self calibrating ... See more keywords
Unraveling the Black Box: A Review of Explainable Deep Learning Healthcare Techniques
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3398203
Abstract: The integration of deep learning in healthcare has propelled advancements in diagnostics and decision support. However, the inherent opacity of deep neural networks (DNNs) poses challenges to their acceptance and trust in clinical settings. This… read more here.
Keywords: logic; explainable deep; deep learning; learning healthcare ... See more keywords
An Explainable Deep Learning Network With Transformer and Custom CNN for Bean Leaf Disease Classification
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3546017
Abstract: Bean rust and angular leaf spot pose significant challenges to bean cultivation, impacting yields. Prompt disease identification maximizes productivity, but traditional methods need specialized expertise. This research presents an explainable deep learning model that combines… read more here.
Keywords: deep learning; disease; explainable deep; network ... 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
Explainable deep learning model for predicting money laundering transactions
Sign Up to like & getrecommendations! Published in 2024 at "International Journal on Smart Sensing and Intelligent Systems"
DOI: 10.2478/ijssis-2024-0027
Abstract: Abstract Money laundering has been a global issue for decades. The ever-changing technology landscape, digital channels, and regulations make it increasingly difficult. Financial institutions use rule-based systems to detect suspicious money laundering transactions. However, it… read more here.
Keywords: laundering transactions; deep learning; money laundering; explainable deep ... 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
An Explainable Deep Learning Framework for Multimodal Autism Diagnosis Using XAI GAMI-Net and Hypernetworks
Sign Up to like & getrecommendations! Published in 2025 at "Diagnostics"
DOI: 10.3390/diagnostics15172232
Abstract: Background: Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by heterogeneous behavioral and neurological patterns, complicating timely and accurate diagnosis. Behavioral datasets are commonly used to diagnose ASD. In clinical practice, it is difficult… read more here.
Keywords: deep learning; diagnosis; framework; gami net ... See more keywords
Explainable Deep Learning to Predict Kelp Geographical Origin from Volatile Organic Compound Analysis
Sign Up to like & getrecommendations! Published in 2025 at "Foods"
DOI: 10.3390/foods14071269
Abstract: In addition to its flavor and nutritional value, the origin of kelp has become a crucial factor influencing consumer choices. Nevertheless, research on kelp’s origin traceability by volatile organic compound (VOC) analysis is lacking, and… read more here.
Keywords: deep learning; origin; volatile organic; analysis ... See more keywords