Journal of Accountancy

Detecting anomalies with Benford’s Law in Excel

How can I use Benford’s Law in Excel? A. Benford’s Law is a powerful tool in the accounting and auditing profession. It is ...
IEEE

Black Hole Prediction in Backbone Networks: A Comprehensive and Type-Independent Forecasting Model

Abstract: Network backbone black holes(BH) pose significant challenges in the Internet by causing disruptions and data loss as routers silently drop packets without notification. These silent BH ...
IEEE

Time Series Anomaly Detection Based on Asymmetric Autoencoder and Gaussian Mixture Model

Abstract: Time series data are widely used in domains such as finance, industry, transportation, and healthcare. Anomaly detection in multivariate time series is a challenging unsupervised machine ...
GitHub

autoencoder-anomaly-detection

This repo contains all my Deep Learning semester work, including implementations of FNNs, CNNs, autoencoders, CBOW, and transfer learning. I explored TensorFlow, Keras, PyTorch, and Theano while ...
GitHub

Time Series Analysis with LSTM, ARIMA, Prophet, and Anomaly Detection

├── src/ # Source code modules │ ├── lstm_model.py # LSTM implementation with PyTorch │ ├── forecasting_models.py # ARIMA, Prophet, and statistical models │ ├── anomaly_detection.py # Anomaly ...