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Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks

Electronics (Basel), 2020-09, Vol.9 (9), p.1547

2020

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Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit

Sensors (Basel, Switzerland), 2019-04, Vol.19 (8), p.1866

2019

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ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features

Sensors (Basel, Switzerland), 2022-02, Vol.22 (4), p.1660

2022

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Modelling customers credit card behaviour using bidirectional LSTM neural networks

Journal of big data, 2021-05, Vol.8 (1), p.1-27, Article 69

2021

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Arrhythmia Evaluation in Wearable ECG Devices

Sensors (Basel, Switzerland), 2017-10, Vol.17 (11), p.2445

2017

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Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.3829

2020

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Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (4), p.4411-4428

2021

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Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data

Electronics (Basel), 2019-08, Vol.8 (8), p.858

2019

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Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index

Sensors (Basel, Switzerland), 2022-07, Vol.22 (15), p.5496

2022

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Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries

PeerJ (San Francisco, CA), 2018-05, Vol.6, p.e4817-e4817, Article e4817

2018

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Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy

Electronics (Basel), 2021-11, Vol.10 (21), p.2604

2021

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Nonthermal Plasma System for Marine Diesel Engine Emission Control

IEEE transactions on industry applications, 2016-05, Vol.52 (3), p.2496-2505

2016

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Design of a Load Frequency Controller Based on an Optimal Neural Network

Energies (Basel), 2022-09, Vol.15 (17), p.6223

2022

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Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller

Energies (Basel), 2023-03, Vol.16 (6), p.2802

2023

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Non-Invasive Hemodynamics Monitoring System Based on Electrocardiography via Deep Convolutional Autoencoder

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6264

2021

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Improving binary classification using filtering based on k-NN proximity graphs

Journal of big data, 2020-03, Vol.7 (1), p.1-18, Article 15

2020

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Spectrum Analysis of EEG Signals Using CNN to Model Patient's Consciousness Level Based on Anesthesiologists' Experience

IEEE access, 2019, Vol.7, p.53731-53742

2019

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CloudSimHypervisor: Modeling and Simulating Network Slicing in Software-Defined Cloud Networks

IEEE access, 2021, Vol.9, p.72484-72498

2021

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Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition

Mathematical biosciences and engineering : MBE, 2021-01, Vol.18 (5), p.5047-5068

2021

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Promoter Hypermethylation Identifies Progression Risk in Bladder Cancer

Clinical cancer research, 2007-04, Vol.13 (7), p.2046-2053

2007

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Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform

Sensors (Basel, Switzerland), 2013-08, Vol.13 (8), p.10151-10166

2013

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Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

Entropy (Basel, Switzerland), 2013-09, Vol.15 (12), p.3325-3339

2013

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Depth Analysis of Anesthesia Using EEG Signals via Time Series Feature Extraction and Machine Learning

Sci, 2023-05, Vol.5 (2), p.19

2023

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A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

International journal of hydrogen energy, 2018-08, Vol.43 (31), p.14158-14171

2018

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Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review

Technologies (Basel), 2022-06, Vol.10 (3), p.74

2022

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Defect Detection in Printed Circuit Boards Using You-Only-Look-Once Convolutional Neural Networks

Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit

ECG Recurrence Plot-Based Arrhythmia Classification Using Two-Dimensional Deep Residual CNN Features

Modelling customers credit card behaviour using bidirectional LSTM neural networks

Arrhythmia Evaluation in Wearable ECG Devices

Genetic Deep Convolutional Autoencoder Applied for Generative Continuous Arterial Blood Pressure via Photoplethysmography

Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once

Design of an Efficient Maximum Power Point Tracker Based on ANFIS Using an Experimental Photovoltaic System Data

Comparison of Deep Learning Algorithms in Predicting Expert Assessments of Pain Scores during Surgical Operations Using Analgesia Nociception Index

Sample entropy analysis for the estimating depth of anaesthesia through human EEG signal at different levels of unconsciousness during surgeries

Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy

Nonthermal Plasma System for Marine Diesel Engine Emission Control

Design of a Load Frequency Controller Based on an Optimal Neural Network

Bacterial Foraging Algorithm for a Neural Network Learning Improvement in an Automatic Generation Controller

Non-Invasive Hemodynamics Monitoring System Based on Electrocardiography via Deep Convolutional Autoencoder

Improving binary classification using filtering based on k-NN proximity graphs

Spectrum Analysis of EEG Signals Using CNN to Model Patient's Consciousness Level Based on Anesthesiologists' Experience

CloudSimHypervisor: Modeling and Simulating Network Slicing in Software-Defined Cloud Networks

Depth of anesthesia prediction via EEG signals using convolutional neural network and ensemble empirical mode decomposition

Promoter Hypermethylation Identifies Progression Risk in Bladder Cancer

Measuring center of pressure signals to quantify human balance using multivariate multiscale entropy by designing a force platform

Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

Depth Analysis of Anesthesia Using EEG Signals via Time Series Feature Extraction and Machine Learning

A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

Explainable AI (XAI) Applied in Machine Learning for Pain Modeling: A Review

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