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BACHELOR THESIS. Detect wind turbine errors using a hybrid model. Utilize ML, DL, edge computing. Dataset, neural network optimized with genetic algorithms. Low computational power ML models. Data is stored in the cloud. Turbine status via secure APIs. Password encryption. GRASP, SOLID
Genetic Algorithms(GA), Cultural Algorithms(CA), Structural Clustering Algorithm for Networks(SCAN), Weighted Structural Clustering Algorithm for Networks(WSCAN) for Team Formation Problem(TFP), Hybrid Genetic Algorithm, Hybrid Cultural Algorithm, Evolutionary Computation, Optimization
Part of my thesis “A model of personal knowledge”. This model is based on M. Polanyi’s insights in the book "Personal Knowledge" and enables the accumulation and actions of personal knowledge. Special emphasis is placed on the active transformation of tacit knowledge into explicit knowledge (inference).