2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) 2021
DOI: 10.1109/ecai52376.2021.9515068
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Application of reinforcement learning for NQR excitation sequence optimization

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“…external magnetic field, unlike the case with other magnetic resonance techniques 10 . However, NQR also has several drawbacks that researchers focus on addressing, such as relatively low sensitivity 11 and strong dependence of the measured signal on excitation sequence parameters (such as power level, pulse width, and pulse repetition rate) 12 . Even with these drawbacks, NQR is by far the most economical effective technique, as seen in Table 1.…”
Section: Literature Review and Backgroundmentioning
confidence: 99%
“…external magnetic field, unlike the case with other magnetic resonance techniques 10 . However, NQR also has several drawbacks that researchers focus on addressing, such as relatively low sensitivity 11 and strong dependence of the measured signal on excitation sequence parameters (such as power level, pulse width, and pulse repetition rate) 12 . Even with these drawbacks, NQR is by far the most economical effective technique, as seen in Table 1.…”
Section: Literature Review and Backgroundmentioning
confidence: 99%