The article analyzes the scientific and methodological foundations of usingartificial intelligence technologies to improve cardiorespiratory training of young studentathletes. The possibilities of monitoring heart rate, energy consumption, recovery dynamics andfunctional status indicators during cardio training using artificial intelligence algorithms, as wellas managing individual loads are described. The results of the study show that artificialintelligence-based systems can improve the accuracy of training loads, prevent overexertion andimprove athletic performance.
| Mualliflar | Jasmina , Karomatova |
|---|---|
| Jurnal | Педагогик акмеология |
| Nashr sanasi | 2026-06-19 |
| Jild | 5 |
| Son | 34 |
искусственный интеллект, кардиотренировки, студентыспортсмены, artificial intelligence, cardio training, student-athletes, sun’iy intellek, kardio-mashqlar, sportchi talabalar
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