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Found 8 papers, 0 papers with code
A data-driven method for multi-step-ahead prediction and long-term prognostics of proton exchange membrane fuel cell
Fuel cell technology has been rapidly developed in the last decade owing to its clean characteristic and high efficiency.
A DEEP LEARNING PIPELINE FOR BREAST CANCER KI-67PROLIFERATION INDEX SCORING
The Ki-67 proliferation index is an essential biomarker that helps pathologists to diagnose andselect appropriate treatments.
A deep learning pipeline for breast cancer ki-67 proliferation index scoring
The extracted nuclei are then divided into overlapped and non-overlapped regions based on eight geometric and statistical features.
Data Labeling Impact on Deep Learning Models in Digital Pathology: a Breast Cancer Case Study
The aim of this study is to highlight the impact of data labeling on deep learning models.
Post Prognostic Decision for Predictive Maintenance Planning with Remaining Useful Life Uncertainty
This paper investigates the use of the Particle Swarm Optimization (PSO) algorithm to quantify the effect of RUL uncertainty on predictive maintenance planning.
Spitzoid Lesions Diagnosis based on GA feature selection and Random Forest
A private spitzoid lesions dataset have been used to evaluate the system proposed in this study.
A CNN-based methodology for breast cancer diagnosis using thermal images
Methods: We performed a study of the influence of data pre-processing, data augmentation and database size versus a proposed set of CNN models.
Post-prognostics decision in Cyber-Physical Systems
Prognostics and Health Management (PHM) offers several benefits for predictive maintenance.
