Simultaneous detection for multiple anomaly data in internet of energy based on random forest
Q Li, L Zhang, G Zhang, H Ouyang, M Bai - Applied Soft Computing, 2023 - Elsevier
Abstract Anomaly Data Detection plays a core role in defensing cyber-attacks, ensuring
reliability, protecting security and improving robustness in smart grid. This study constructs a …
reliability, protecting security and improving robustness in smart grid. This study constructs a …
Hybrid optimized RF model of seismic resilience of buildings in mountainous region based on hyperparameter tuning and SMOTE
H Wen, J Wu, C Zhang, X Zhou, M Liao, J Xu - Journal of Building …, 2023 - Elsevier
This study aims to develop hybrid-optimized random forest (RF) model of seismic physical
resilience evaluation of buildings in mountainous region. Based on the earthquake …
resilience evaluation of buildings in mountainous region. Based on the earthquake …
Influence de l'intelligence artificielle sur les travailleurs et sur leurs tâches
CE Tchatchouang Wanko - 2023 - corpus.ulaval.ca
Résumé De plus en plus les technologie innovantes tel que l'intelligence artificielle sont
introduites dans des organisation des secteurs sensibles tel que le secteur de l'électricité …
introduites dans des organisation des secteurs sensibles tel que le secteur de l'électricité …
An Application of Explainable Artificial Intelligence (XAI) for Fault Diagnosis and Life Prediction of Measurement Equipment
C Changji, L Shuhua, WU Dalei, YU Xiuli… - Journal of Southwest …, 2024 - xbgjxt.swu.edu.cn
The current transformer fault diagnosis and life prediction models based on artificial
intelligence algorithms have achieved good results in improving the accuracy, but there are …
intelligence algorithms have achieved good results in improving the accuracy, but there are …