Theses

Hydrogen fuel cell modeling and efficiency improvement approaches

Detecting and preventing sql injection attacks using large language models

Optimization of distributed job shop scheduling problems based on artificial perception algorithm

Gender prediction from handwritten digits: Comparison and analysis of deep learning approaches

Application of deep learning algorithms for crack detection after magnetic particle testing

Predictive maintenance of pneumatic systems with edge calculation

Assessing the energy efficiency of data centers

Using deep learning approaches to detect cells in honeycombs

Analyzing classification performance on an unbalanced honeycomb dataset

Optimizing home food preparation for dogs