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, reliability, and environmental resilience. The proliferation of intelligent systems has led to increased energy consumption, raising concerns about sustainability and operational costs. Energy-efficient
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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obtained). Have a background in one or more of the following areas: Dance Choreographic Practice Improvisation Performance and Technology Motion Capture Movement Analysis Systems How to apply Apply
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science and energy technologies Basic knowledge of artificial intelligence and data analysis methods Programming skills, ideally in Python Independent and analytical way of working Reliable and thorough
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subsurface layers of components and even transform their microstructure, potentially introducing additional defects. Thus, assessment of these effects on structural reliability and durability of systems
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operating wind parks. Consequently, there is a pressing need for research-based knowledge, as well as methods and tools for more accurate and reliable predictions of noise and annoyance. Noise prediction
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and extract discriminative features from encrypted IoT traffic that reliably distinguish between benign and malicious behaviour. These features must be extracted in a lightweight manner suitable for
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ensuring accurate and efficient analysis of system behavior under various conditions. Dynamic equivalents enable faster and potentially more reliable stability assessments, which are vital for integrating
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Reliability and Durability to carry out research in the area(s) of photovoltaic (PV) module reliability and durability, PV system data analysis, and material characterization. This is a 12-month, non-tenure
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noise from other mechanical components such as gears, screws, etc., fault diagnosis using such signals is not an easy task. Having a robust and reliable CM system for low-speed bearings will have