Farnoosh Naderkhani

According to our database1, Farnoosh Naderkhani authored at least 23 papers between 2018 and 2022.

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Bibliography

2022
Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study.
Reliab. Eng. Syst. Saf., 2022

COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction.
Expert Syst. Appl., 2022

ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals.
CoRR, 2022

2021
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications.
IEEE Signal Process. Mag., 2021

MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction.
Pattern Recognit., 2021

COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans.
Frontiers Artif. Intell., 2021

Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans.
CoRR, 2021

Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans.
CoRR, 2021

COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans.
CoRR, 2021

Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network.
CoRR, 2021

Comparison of Two Maintenance Policies for the Coordination of Decisions of Quality Control and Maintenance Planning.
Proceedings of the International IEEE Conference on Prognostics and Health Management, 2021

Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images.
Pattern Recognit. Lett., 2020

Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications.
CoRR, 2020

COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning.
CoRR, 2020

Designing a Reliability Quick Switching Sampling Plan based on the Lifetime Performance Index.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Automated detection of textured-surface defects using UNet-based semantic segmentation network.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2020

ND-SMPF: A Noisy Deep Neural Network Fusion Framework for Stock Price Movement Prediction.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

2019
Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

2018
Joint optimization of maintenance policy and inspection interval for a multi-unit series system using proportional hazards model.
J. Oper. Res. Soc., 2018


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