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the development of methods and models refinements, analyses, and optimizations for scale-grid TES integration and operation planning algorithm. RESTORATIVE consists of 17 PhD students at 7 universities and 4
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scaffolds (PLA-based) Optimization of additive manufacturing processes and scaffold design Study of scaffold degradation rates Application and optimization of piezoelectric ceramic coatings Development
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generalizing AI/ML models to enable joint optimization of different RAN functions within or across protocol layers, in some cases, considering the timeframe of the specific RAN operations in the control loop and
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-ready control of electromagnetic waves. Unlike current solutions—which are energy-intensive, complex, and costly—MetaTune proposes unified tuning mechanisms, innovative materials, and cost‑effective
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nature-based systems (composting, constructed wetlands, etc.) to optimize nutrient use efficiency and soil health. Assess the effects of different fertilization strategies on soil quality and health and
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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prediction framework that enables the autonomous self-configuration of swarm computing within the 6G infrastructure, ensuring high availability and SLA compliance through continuous, data-driven optimization