###Foundations:
- V. Chandola, A. Banerjee, and V. Kumar, "Anomaly detection," ACM Comput. Surv., vol. 41, no. 3, pp. 1–58, 2009, https://doi.org/10.1145/1541880.1541882.
- C. C. Aggarwal, Outlier Analysis. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-47578-3
- K. G. Mehrotra, C. K. Mohan, and H. Huang, Anomaly Detection Principles and Algorithms. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-67526-8
- D. Samariya and A. Thakkar, "A Comprehensive Survey of Anomaly Detection Algorithms," Ann. Data. Sci., vol. 10, no. 3, pp. 829–850, 2023. https://doi.org/10.1007/s40745-021-00362-9.

###AI/ML:
- C. C. Aggarwal, Neural Networks and Deep Learning. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-94463-0
- Z. Z. Darban, G. I. Webb, S. Pan, C. C. Aggarwal, and M. Salehi, "Deep Learning for Time Series Anomaly Detection: A Survey," Nov. 2022. https://doi.org/10.48550/arXiv.2211.05244