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Achieving ambitious targets for energy efficiency, increasing the share of renewable energy and accelerating the transition to a climate-neutral society faces a number of technical, environmental and social barriers. Challenges include the difficulty of siting energy facilities, balancing public benefits, bottlenecks in energy infrastructure, fluctuations in the energy market and …

The rapid advancements in Machine Learning (ML) and Black-Box Optimization (BBO) have led to an increased reliance on benchmarking data for evaluating and comparing algorithms across diverse domain tasks. However, the effective exploitation of this data is hindered by challenges such as syntactic variability, semantic ambiguity, and lack of standardization. …

This doctoral dissertation present research aimed into enhancing polymer-bonded Nd–Fe–B magnets through innovative surface treatments and additive manufacturing techniques, focusing on improving their mechanical strength, magnetic characteristics, and environmental stability. This research is critical for broadening the applicability of these magnets in sectors like green technologies and motion control systems. …

Cardiovascular diseases (CVDs) are a leading cause of mortality globally, significantly affecting patient quality of life and imposing considerable demands on healthcare systems. Chronic heart failure (CHF), a common outcome of CVDs, represents a growing health burden with an increasing incidence. Accurate and early identification of CVDs is critical for …

Hydrogen is a promising energy carrier in the emerging green energy landscape. It is environmentally friendly, transportable, and storable. The Solid Oxide Cell (SOC) system is a complex technology that enables the bidirectional conversion of hydrogen to energy. The label SOC entails solid oxide fuel cell (SOFC) systems, which produce …

Wearable robotics holds promise for enhancing human capabilities and addressing motor challenges in individuals with impairments, amputations, or those who are healthy. Exoskeletons, among various wearable devices, are designed to be worn on the upper or lower limbs. While some applications, like in the medical field, have been widely adopted, …

As ecological, agricultural, and biological disciplines face mounting challenges like biodiversity loss, food chain disruption, and climate change, leveraging machine learning (ML) to process complex and heterogeneous data becomes increasingly vital. This dissertation explores the potential of ML in combination with explainability approaches for enhancing research in life sciences, specifically …

This thesis focuses on the development and optimisation of zirconium conversion coatings (ZrCCs) on cold-rolled steel (CRS), zinc (Zn), and aluminium alloy AA5754 substrates through a multidimensional approach. The utilization of statistical tools, specifically response surface methodology (RSM), enabled the assessment of the individual and mutual effects of various parameters …

News spreads in many patterns, structures, and dynamics that change throughout time. For a variety of reasons, certain news is only covered in a particular area. Language, economy, geography, politics, time zone, and culture are just a few of the many barriers that prevent news from reaching a larger audience. …

In the view of designing new nanostructured materials and tailoring their functional properties, understanding the nucleation and crystal growth mechanisms is becoming increasingly important. Nowadays, one of the most addressed scientific and social problems are those facing energy shortage and global warming. People started to realize the value and importance …