… proposed a kiln temperature prediction control algorithm based on deep learning, constructed
and … Sarnago, et al., Deep learning based model predict ive control for resonant power …

(中) 過去許多相關研究表明, 在課程中結合動覺辨識機制以及遊戲式學習可以有效提升學習者的
學習成效. 因此, 本研究以全肢體反應教學法(Total Physical Response, TPR) 為基礎, 並擴展…

… component property prediction highly desired for a specific property target, battery
chemistry, and device structure. Recently, the data in the battery research have exponentially …

… of the sensor readings, more and more anomaly detection uses machine learning to
make predictions. In the field of machine learning, most models have a fixed neural network …

… algorithms such as machine learning and deep learning have been widely … prediction tools
based on artificial intelligence algorithms have higher accuracy, and can successfully predict …

… learning technology in the efficient prediction and design of cardiovascular disease … of
machine learning and deep learning in CVD prediction, introducing the importance of prediction …

… of prediction set decreased from 16.153 mmol/kg to 10.4150 mmol/kg. Conclusion The extreme
learning machine … Hyperspectral and integrated learning based moisture detection model …

… model in digital soil mapping to predict soil organic matter stocks in the Cantabrian region
(Spain)[J]. European Journal of Soil Science, 2021, … machine learningbased … carbon prediction …

… PACE:Probabilistic assessment for contributor estimation- a machine learning-based …
Prediction of collision cross section and retention time for broad scope screening in gradient …