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Advances in spacecraft control: New algorithm guarantees precision under extreme disturbances
An international team of researchers has unveiled a spacecraft attitude control system that can guarantee precise ...
Probabilistic models, such as hidden Markov models or Bayesian networks, are commonly used to model biological data. Much of their popularity can be attributed to the existence of efficient and robust ...
An ANN model offers the most accurate and reliable prediction of bubble-point pressure for Rmelan crude oils. For practical ...
Expectation optimizes perception through center-surround inhibition, enhancing expected representations while suppressing similar, irrelevant ones.
Simulate first/second-order transient responses, automatically estimate circuit parameters (R, L, C) from noisy measurements using curve-fitting + a small ML model, and provide a Streamlit demo + ...
Laboratorio de Análisis y Sustentabilidad Ambiental, Escuela de Estudios Superiores de Xalostoc, Universidad Autónoma del Estado de Morelos, Ayala, Morelos 62715, Mexico ...
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