Electromyography (EMG)-based sensing is an important tool for assessing neuromuscular activity and monitoring athlete development; its reliability depends on electrode placement, signal quality, and accurate identification of muscle activation periods. This study proposes an intelligent EMG sensing framework integratin...
K. Zohirov, S. Boykobilov, Gulmira Pardayeva et al.· Biosensors· 0 citations
The findings suggest that higher scores on Neuro-AI Pedagogical Competence were associated with stronger ethical awareness, self-regulation, and motivation, rather than with frequency of AI use, and supports the design of level-differentiated AI-integrated curricula.
D. Zaripova, K. Zohirov, N. Rasulova et al.· Frontiers in Education· 0 citations
A fusion-based artificial intelligence framework that integrates Quantization-Aware Training (QAT)-optimized PointNet++ models with machine-learning regression to predict a short-term dendrometer-derived stem-diameter response expressed in biomass-equivalent units is proposed.
Furkat Bolikulov, K. Zohirov, Gayrat Mannonov et al.· Italian National Conference...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.