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View article: Passive earth pressure coefficients prediction using deep learning techniques
Passive earth pressure coefficients prediction using deep learning techniques Open
Predicting passive earth pressure coefficients is crucial for the design of retaining structures, as these coefficients, dependent on soil properties and wall geometry, they impact wall stability. In a practical context, the experimental a…
View article: Smart Data-Driven GRU Predictor for SnO$_2$ Thin films Characteristics
Smart Data-Driven GRU Predictor for SnO$_2$ Thin films Characteristics Open
In material physics, characterization techniques are foremost crucial for obtaining the materials data regarding the physical properties as well as structural, electronics, magnetic, optic, dielectric, and spectroscopic characteristics. Ho…
View article: Contrastive Metric Learning Loss-Enhanced Multi-Layer Perceptron for Sequentially Appearing Clusters in Acoustic Emission Data Streams
Contrastive Metric Learning Loss-Enhanced Multi-Layer Perceptron for Sequentially Appearing Clusters in Acoustic Emission Data Streams Open
Conventional structural health monitoring methods for interpreting unlabeled acoustic emission (AE) data typically rely on generic clustering approaches. This work introduces a novel approach for analyzing sequential and temporal acoustic …
View article: Proceedings CNAIA'2023
Proceedings CNAIA'2023 Open
This NCAIA proceeding aims to bring together the works of the academic community around the use of AI in order to raise awareness among ordinary citizens of its impact on country economies.
View article: Cross-Layer Routing Based on Semantic Web Services Discovery with Energy Evaluation and Optimization in MANET
Cross-Layer Routing Based on Semantic Web Services Discovery with Energy Evaluation and Optimization in MANET Open
The web services discovery process in mobile adhoc networks is considered as a very difficult challenge due to the continuous change in the topology of the network and also the lack of a fixed central directory for publishing web services.…
View article: RUL Estimation Enhancement using Hybrid Deep Learning Methods
RUL Estimation Enhancement using Hybrid Deep Learning Methods Open
The turbofan engine is one of the most critical aircraft components. Its failure may introduce unwanted downtime, expensive repair, and affect safety performance. Therefore, It is essential to accurately detect upcoming failures by predict…
View article: Retargeting PHM tools: from industrial to medical field
Retargeting PHM tools: from industrial to medical field Open
Prognostics and Health Management (PHM) approach, and theoretical models have had great success for industrial systems. Therefore, this accomplishment motivates us to think about potential extension of the PHM approach in such area as the …
View article: Hybrid Architecture of Deep Convolutional Variational Auto-encoder for Remaining useful Life Prediction
Hybrid Architecture of Deep Convolutional Variational Auto-encoder for Remaining useful Life Prediction Open
International audience
View article: A generic architecture for intelligent systems based on IoT technology
A generic architecture for intelligent systems based on IoT technology Open
L'Internet des objets (IdO) est une technologie émergente dotée d'un potentiel énorme pour une applicabilité très large.L'IdO peut être défini comme un environnement omniprésent intelligent, basé sur une prolifération continue de réseaux i…
View article: Post-prognostics decision in cyber-physical systems
Post-prognostics decision in cyber-physical systems Open
Prognostics and Health Management (PHM) offers several benefits for\npredictive maintenance. It predicts the future behavior of a system as well as\nits Remaining Useful Life (RUL). This RUL is used to planned the maintenance\noperation to…
View article: Neural network model for prognostic as a service in private cloud computing
Neural network model for prognostic as a service in private cloud computing Open
International audience
View article: Towards a new approach of Robot as a Service (RaaS) in Cloud Computing paradigm
Towards a new approach of Robot as a Service (RaaS) in Cloud Computing paradigm Open
For many years, robots appear in most fields. At times, we approach closer to create intelligent robots due to success in computer technology. Current developments in Cloud Computing introduce this concept in robotics field. Many projects …