To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.

Time series analysis of PM2.5 particles levels with R Markdown utilising Hidden Markov Models (HMM), Dynamic Linear Models (DLM).

The Transformer architecture revolutionised natural language processing with its self-attention mechanism, enabling parallel computation and effective context retrieval. However, Transformers face ...

Abstract: Existing linearized section location methods for distribution networks are only applicable to single faults. In response, this paper proposes a linear integer programming method for section ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...

Abstract: To address the issue of load recovery after blackout in distribution networks, a linear programming method for fault recovery based on dynamic switching technology is proposed. Firstly, an ...