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approaches are faster but can produce opaque decisions and amplify inequities if trained on historically biased patterns or narrow objectives. There is therefore a clear methodological gap: the absence of a
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transmissions. WP2: Smart Resource Orchestration (Months 12-26): Driven by WP1, this WP will formulate a multi-objective optimization problem to balance latency, throughput, and the flight-related energy
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include doped oxides or composites engineered to enhance ionic mobility while suppressing electronic conductivity. A key objective will be to understand the relationships between chemical composition
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as seasons change, extreme weather hits, and agricultural practices evolve. You'll analyse soil timeseries to track how these transitions happen, and what drives them. Across both applications, a core