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View article: A Multi-granularity Heterogeneous Ensemble Model for Point and Interval Forecasting of Carbon Prices
A Multi-granularity Heterogeneous Ensemble Model for Point and Interval Forecasting of Carbon Prices Open
International audience
View article: Advances in Artificial Intelligence for Next-Generation Wireless Transmission
Advances in Artificial Intelligence for Next-Generation Wireless Transmission Open
Intelligent communication is considered one of the mainstream directions for the development of wireless communication post-5G. Its core idea involves integrating artificial intelligence into various layers of wireless communication system…
View article: k-MAGIC VERTEX LABELING WITH GROUP ELEMENTS
k-MAGIC VERTEX LABELING WITH GROUP ELEMENTS Open
Let be a finite abelian group. Let be simple graph with vertices. By labeling of vertex set , we mean a one-to-one function . A weight function is a function , where . In this article, we consider the following two weight functions: and Th…
View article: Reliability modeling of tensile properties in recycled carbon fibers: A comparative fit of statistical distributions pre- and post-textile processing
Reliability modeling of tensile properties in recycled carbon fibers: A comparative fit of statistical distributions pre- and post-textile processing Open
View article: Developing a simple universal hypo-osmotic swelling test (HOST) for assessing sperm membrane integrity in pigs, rabbits, and goats
Developing a simple universal hypo-osmotic swelling test (HOST) for assessing sperm membrane integrity in pigs, rabbits, and goats Open
Objective: The objective of this study was to evaluate the integrity of the plasma membrane for human and other domestic animal spermatozoa by the hypo-osmotic swelling test (HOST). Materials and Methods: This study was condu…
View article: A Hybrid Model for Carbon Prices: Integrating Investor Attention, Mixed-Frequency Data, Quantile Regression and Deep Learning
A Hybrid Model for Carbon Prices: Integrating Investor Attention, Mixed-Frequency Data, Quantile Regression and Deep Learning Open
View article: A Hybrid Model for Carbon Prices: Integrating Investor Attention, Mixed-Frequency Data, Quantile Regression and Deep Learning
A Hybrid Model for Carbon Prices: Integrating Investor Attention, Mixed-Frequency Data, Quantile Regression and Deep Learning Open
View article: Carbon Price Interval Prediction by Bidirectional Long Short-Term Memory and Muti-Objective Optimization with an Asymmetric Scaling Approach
Carbon Price Interval Prediction by Bidirectional Long Short-Term Memory and Muti-Objective Optimization with an Asymmetric Scaling Approach Open
View article: Hypershield: A Personalized Hypernetwork-Based Defense Against Poisoning Attacks in Federated Learning for Healthcare
Hypershield: A Personalized Hypernetwork-Based Defense Against Poisoning Attacks in Federated Learning for Healthcare Open
View article: IMPROVING THERAPEUTIC ADHERENCE IN ELDERLY OUTPATIENT AT CAN THO UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL: SOME SUPPORTIVE SOLUTIONS
IMPROVING THERAPEUTIC ADHERENCE IN ELDERLY OUTPATIENT AT CAN THO UNIVERSITY OF MEDICINE AND PHARMACY HOSPITAL: SOME SUPPORTIVE SOLUTIONS Open
Background: Improving treatment adherence in elderly patients needs to be addressed to enhance treatment effectiveness and reduce healthcare costs. Treatment adherence improvement solutions often focus on patient education in medication us…
View article: Digitalization and its impact on commercial banks’ profitability in Vietnam
Digitalization and its impact on commercial banks’ profitability in Vietnam Open
Amid the rapid development of the digital economy in Vietnam, traditional industries, including commercial banking, must recognize digitalization as both a prevailing trend and an essential requirement for sustainable development. This stu…
View article: An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal
An integrated optimal-GICP design for the SPRT control chart with estimated process parameters based on the average number of observations to signal Open
International audience
View article: Lightweight Transformer for Federated Human Activity Recognition in Home Care
Lightweight Transformer for Federated Human Activity Recognition in Home Care Open
View article: Physics-Informed Machine Learning for Industrial Reliability and Safety Engineering: A Review and Perspective
Physics-Informed Machine Learning for Industrial Reliability and Safety Engineering: A Review and Perspective Open
View article: Svdd Control Charts Based on Mewma Technique for Monitoring Compositional Data
Svdd Control Charts Based on Mewma Technique for Monitoring Compositional Data Open
View article: Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Open
View article: Safety and Reliability of Artificial Intelligence Systems
Safety and Reliability of Artificial Intelligence Systems Open
View article: Maîtrise de l'alignement et des propriétés des fibres de carbone recyclées : influence des paramètres de procédé
Maîtrise de l'alignement et des propriétés des fibres de carbone recyclées : influence des paramètres de procédé Open
International audience
View article: Proof of Swarm Based Ensemble Learning for Federated Learning Applications
Proof of Swarm Based Ensemble Learning for Federated Learning Applications Open
Ensemble learning combines results from multiple machine learning models in\norder to provide a better and optimised predictive model with reduced bias,\nvariance and improved predictions. However, in federated learning it is not\nfeasible…
View article: Forecasting Sales Profiles of Products in an Exceptional Context: COVID-19 Pandemic
Forecasting Sales Profiles of Products in an Exceptional Context: COVID-19 Pandemic Open
View article: The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables
The Shewhart-type RZ control chart for monitoring the ratio of autocorrelated variables Open
International audience
View article: Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Open
Adversarial attacks such as poisoning attacks have attracted the attention of many machine learning researchers. Traditionally, poisoning attacks attempt to inject adversarial training data in order to manipulate the trained model. In fede…
View article: Anomaly Detection for Compositional Data using VSI MEWMA control chart
Anomaly Detection for Compositional Data using VSI MEWMA control chart Open
International audience
View article: Explainable Anomaly Detection for Industrial Control System Cybersecurity
Explainable Anomaly Detection for Industrial Control System Cybersecurity Open
Industrial Control Systems (ICSs) are becoming more and more important in managing the operation of many important systems in smart manufacturing, such as power stations, water supply systems, and manufacturing sites. While massive digital…
View article: Light-weight federated learning-based anomaly detection for time-series data in industrial control systems
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems Open
View article: Anomaly Detection for Compositional Data using VSI MEWMA control chart
Anomaly Detection for Compositional Data using VSI MEWMA control chart Open
In recent years, the monitoring of compositional data using control charts has been investigated in the Statistical Process Control field. In this study, we will design a Phase II Multivariate Exponentially Weighted Moving Average (MEWMA) …
View article: Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems
Federated Learning-Based Explainable Anomaly Detection for Industrial Control Systems Open
We are now witnessing the rapid growth of advanced technologies and their application, leading to Smart Manufacturing (SM). The Internet of Things (IoT) is one of the main technologies used to enable smart factories, which is connecting al…
View article: Anomaly Detection for Compositional Data using VSI MEWMA control chart
Anomaly Detection for Compositional Data using VSI MEWMA control chart Open
In recent years, the monitoring of compositional data using control charts has been investigated in the Statistical Process Control field. In this study, we will design a Phase II Multivariate Exponentially Weighted Moving Average (MEWMA) …
View article: Explainable Anomaly Detection for Industrial Control System Cybersecurity
Explainable Anomaly Detection for Industrial Control System Cybersecurity Open
Industrial Control Systems (ICSs) are becoming more and more important in managing the operation of many important systems in smart manufacturing, such as power stations, water supply systems, and manufacturing sites. While massive digital…
View article: Designing ECG monitoring healthcare system with federated transfer learning and explainable AI
Designing ECG monitoring healthcare system with federated transfer learning and explainable AI Open