Farnoosh Naderkhani
Orcid: 0000-0003-1808-4073
According to our database1,
Farnoosh Naderkhani
authored at least 34 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023
A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
Application of Machine Learning for Anomaly Detection in Printed Circuit Boards Imbalance Date Set.
Proceedings of the IEEE International Conference on Prognostics and Health Management, 2023
HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information.
Proceedings of the IEEE International Conference on Acoustics, 2023
Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study.
Reliab. Eng. Syst. Saf., 2022
Time to signal distribution of multivariate bayesian control chart with dual sampling scheme.
Int. J. Prod. Res., 2022
COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction.
Expert Syst. Appl., 2022
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains.
CoRR, 2022
Reinforcement Learning based on Stochastic Dynamic Programming for Condition-based Maintenance of Deteriorating Production Processes.
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
Proceedings of the 2022 IEEE International Conference on Prognostics and Health Management, 2022
Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans.
Proceedings of the IEEE International Conference on Acoustics, 2022
A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices.
Proceedings of the 30th European Signal Processing Conference, 2022
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 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
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
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
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