首页|Findings from Monash University Malaysia Provide New Insights into Machine Learn ing (Multivariate Machine Learning Models for Accurate and Robust Multi-uav Netw ork Throughput Prediction)
Findings from Monash University Malaysia Provide New Insights into Machine Learn ing (Multivariate Machine Learning Models for Accurate and Robust Multi-uav Netw ork Throughput Prediction)
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Researchers detail new data in Machine Learning. According to news reporting from Selangor, Malaysia, by NewsRx journa lists, research stated, "Anticipatory Multi-Unmanned Aerial Vehicles (UAVs) Netw ork is the key to the realization of high-bandwidth and demanding multi-UAV appl ications in the future. An accurate and robust Channel Quality Prediction (CQP) model is essential in such anticipatory networks to facilitate the eventual opti mization step." Funders for this research include Collaborative Research in Engineering, Science and Technology Center (CREST), Intel Microelectronics (M) Sdn Bhd, Department o f Electrical and Robotics Engineering, School of Engineering, Monash University Malaysia.
SelangorMalaysiaAsiaCyborgsEmerg ing TechnologiesMachine LearningMonash University Malaysia
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