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Found 9 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.
Industrial IoT middleware using a multi-agent system for consistency-based diagnostic in cement factory
With the evolution of the internet of things (IoT) in several domains, and due to its big need in the industry, Industrial Internet of things (IIoT) becomes the suitable naming for this accompaniment IIoT changed the general view of the industry intelligently and over the internet This overlapping of IoT and industry requires special treatment when the system deals with heterogeneous devices in distributed environment and complex tasks In this paper, we propose a middleware solution based on multi-agents-system (MAS) to handle the distributed control of complex systems autonomously in industrial environment The proposed middleware enables M2M communications among system’s components In this work, we also addressed the distributed diagnostic for real industrial system using MAS with new suitable communication strategy to support the heterogeneity and interoperability issued in IIoT and assure real-time system monitoring and control Finally, we present a qualitative evaluation of the proposed solution on real case-study Keywords: industrial internet of things; multi-agents system; middleware; distributed diagnostic; manufacturing system.
Holonic agent-based approach for system-level remaining useful life estimation with stochastic dependence
In complex systems, this can create statistical limitations for prognostic function where component fault relies on the connected components in the system and their state of degradations.
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.
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.
Agent-based prognostic function for multi-components system with stochastic dependence
Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist.
