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This dissertation focuses on supervised machine learning techniques – classification and regression. In particular, the emphasis is on the fuzzy k-nearest neighbor (FKNN) algorithm that has received substantial attention in classification problems due to its efficacy and flexibility. In classification, learning from data can be challenging for many algorithms due to uncertainties and inconsistencies in […]

Concerns about climate change call for a careful assessment of the environmental impact of the supply chain of critical materials such as magnesium (Mg) which has a broad range of applications. Enhancing the circularity of this material is vital for ensuring its sustainable use. As the lightest structural metal, magnesium is considered one of the

Securing the sustainable proliferation of green energy technologies is an essential issue as the transition from fossil fuels to renewable ones has been accelerating in the last decade. The environmental concerns related to the supply chain of critical materials used by those technologies, especially rare earth elements, deserve special attention on a global scale. Our

To accomplish the climate-neutrality objective by 2050, it is necessary to increase the share of renewable energy sources globally. A significant portion of this burden should be carried by palm oil biomass. However, the palm oil biomass supply may not be large enough to satisfy the rising demand worldwide. International trade and maritime transportation networks

Monetization of technological innovation necessitates adjustments to the organization, business model(s), and even ecosystems. How to make money with the innovation or how it contributes to profit generation must be clear. If innovation activity has been business need-driven, you might already have an idea of that. If innovation has been technology-driven i.e., you have developed or tested new