Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
Security, Governance, and Challenges of the New Generation of Cyber-Physical-Social Systems, Volume II ...
School of Computer Science, Nanjing University of Information Science and Technology, Nanjing, China. The rapid expansion of the Internet of Things (IoT), cloud computing, and remote work ...
The isolation forest algorithm was used to detect and remove extreme outliers. Because time series data was used, a sliding window method was used to partition the samples, with a window size of 200 ...
ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...
AI-driven process monitoring enhances the qualification of additively manufactured stainless-steel parts. By analysing high-frequency welding current and voltage signals in both the time and frequency ...
India's renewable‑energy sector is surging. Official figures show that by June 2025, the country's installed capacity reached 476 GW, nearly half of it from non‑fossil sources. Solar power expanded ...
Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Here Are the States That Won't Tax ...
fraud-detection-project/ ├── README.md ├── requirements.txt ├── config.yaml ├── Makefile ├── data/ │ ├── raw/ # input CSV (synthetic credit card transactions) │ └── processed/ # feature-ready datasets ...
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