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). The emergence of data-driven techniques (broadly grouped under the term “machine learning”) challenges the traditional foundations of controls and represents an alternative paradigm that cannot be ignored
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); units such as onboard computers, mass memories, remote terminals and instrument control units*; digital and analogue signal processing electronics for payload/platform functions; front-end acquisition and
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. The Payload Validation Section is responsible for conducting laboratory-based payload element validation activities, with an emphasis on imaging focal plane technologies, to provide support for the development
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differentiation of generic and complex computer programs (including control flows, data structures, and possibly memory) allows for the exploitation of any-order differentials to obtain transformative effects
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imagers, imaging spectrometers and Fourier-Transform spectrometers, quantum sensors for EO, and active laser payloads for Earth surface and atmosphere sensing, covering the full wavelength range from
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. The Payload Validation Section is responsible for conducting laboratory-based payload element validation activities, with the emphasis on imaging focal plane technologies, to provide support for the development