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Research topic: Efficient routing with GTFS data for public transportation using explainable machine learning
Exploring Machine Learning and Deep Learning Architectures for Time Series Predictive Maintenance
From Algorithms to Time Series: Validating Causal Discovery Methods for Infrastructure Decline Analysis in South African Logistics
Research topic: The role of causal machine learning to improve decision making in Supply Chain Management
Uncovering Causal Relationships in Text Documents with Large Language Models (LLMs)
Causal Analysis of Digital Product Passports on Consumer Purchasing Behavior
Research topic: Trustable plant disease detection using explainable deep learning approach
Research topic: Predictive maintenance of aircraft components: Impact of using explainable machine learning on cost, safety, and efficiency
Interpretable Predictive Maintenance Using Transformers (MOMENT): A Comparative Study of Attention and SHAP-Based Feature Importance
LLM Prompt for Privacy Reducing Sensitivity Leakage in LLM Applied to Vehicular Systems
RAG-Powered LLMs for Smart Document Retrieval in the Logistics Industry
Research topic: Exploring autoregressive models in TensorFlow through the application of energy forecasting
Research topic: Comparative analysis of traditional and AI autoregressive models for enhancing demand forecasting
Extracting Structured Data from Unstructured ESG reports Using Large Language Models