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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 …
[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 …
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] Exploration on boosting bus ridership in the post-pandemic era referring to bus rider behavior changes
Z Wang, H **, 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 …
ML Pro: digital assistance system for interactive machine learning in production
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 …
[PDF][PDF] Creating customers that never existed: Synthesis of e-commerce data using CTGAN
Various e-commerce use cases that companies implement in applications rely on personal
data of customers. Privacy and data protection play an important role when discussing the …
data of customers. Privacy and data protection play an important role when discussing the …
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 …
Wood identification of Cyclobalanopsis (Endl.) Oerst based on microscopic features and CTGAN-enhanced explainable machine learning models
W Zhan, B Chen, X Wu, Z Yang, C Lin, J Lin… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Accurate and fast identification of wood at the species level is critical for
protecting and conserving tree species resources. The current identification methods are …
protecting and conserving tree species resources. The current identification methods are …