Conditional tabular generative adversarial based intrusion detection system for detecting ddos and dos attacks on the internet of things networks
The increasing use of Internet of Things (IoT) devices has led to a rise in Distributed Denial
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
of Service (DDoS) and Denial of Service (DoS) attacks on these networks. These attacks can …
Applying data augmentation technique on blast-induced overbreak prediction: Resolving the problem of data shortage and data imbalance
Blast-induced overbreak in tunnels can cause severe damage and has therefore been a
main concern in tunnel blasting. Researchers have developed many machine learning …
main concern in tunnel blasting. Researchers have developed many machine learning …
CTGAN-Based Model to Mitigate Data Scarcity for Cost Estimation in Green Building Projects
This study presents a method for estimating construction costs, even when dealing with
limited and unreliable data, to enhance decision-making in the early project stages. Owners …
limited and unreliable data, to enhance decision-making in the early project stages. Owners …
[HTML][HTML] Generating quality datasets for real-time security assessment: Balancing historically relevant and rare feasible operating conditions
This paper presents a novel, unified approach for generating high-quality datasets for
training machine-learned models for real-time security assessment in power systems …
training machine-learned models for real-time security assessment in power systems …
ML Pro: digital assistance system for interactive machine learning in production
C Neunzig, D Möllensiep, B Kuhlenkötter… - Journal of Intelligent …, 2023 - Springer
The application of machine learning promises great growth potential for industrial
production. The development process of a machine learning solution for industrial use cases …
production. The development process of a machine learning solution for industrial use cases …
Fast transient stability prediction using grid-informed temporal and topological embedding deep neural network
Transient stability prediction is critically essential to the fast online assessment and
maintaining the stable operation in power systems. The wide deployment of phasor …
maintaining the stable operation in power systems. The wide deployment of phasor …
[HTML][HTML] Exploration on boosting bus ridership in the post-pandemic era referring to bus rider behavior changes
Z Wang, H Jin, Y Zhang, X Yang - Alexandria Engineering Journal, 2024 - Elsevier
Boosting bus ridership after pandemics is critical to green city and urban sustainability, to
curb the rapid increase of private cars and to provide alternative trip choice to the public …
curb the rapid increase of private cars and to provide alternative trip choice to the public …
Enhanced classification of hydraulic testing of directional control valves with synthetic data generation
C Neunzig, D Möllensiep, M Hartmann… - Production …, 2023 - Springer
Production environments bring inherent system challenges that are reflected in the high-
dimensional production data. The data is often nonstationary, is not available in sufficient …
dimensional production data. The data is often nonstationary, is not available in sufficient …
Message-passing selection: Towards interpretable gnns for graph classification
W Li, K Chen, S Liu, W Huang, H Zhang, Y Tian… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we strive to develop an interpretable GNNs' inference paradigm, termed
MSInterpreter, which can serve as a plug-and-play scheme readily applicable to various …
MSInterpreter, which can serve as a plug-and-play scheme readily applicable to various …
Distribution-aware graph representation learning for transient stability assessment of power system
The real-time transient stability assessment (TSA) plays a critical role in the secure operation
of the power system. Although the classic numerical integration method, ie time-domain …
of the power system. Although the classic numerical integration method, ie time-domain …