PERCEPTUAL-COGNITIVE-MOTOR LEARNING SYSTEM AND METHOD

• 1. 一种具有内发动机机制的感知运动系统认知及其学习方法 [P] . 中国专利： CN104614988B . 2017.04.19
• 2. 感知认知运动神经学习系统和方法 [P] . 中国专利： CN105308664A . 2016-02-03
• 3. PERCEPTUAL-COGNITIVE-MOTOR LEARNING SYSTEM AND METHOD [P] . KR102272067B1 . 2021-07-05

  机译： 感知 - 认知 - 电机学习系统和方法

• 4. Perceptual-cognitive-motor learning system and method [P] . 美国专利： US10706730B2 . 2020-07-07

  机译： 知觉-认知运动学习系统和方法

• 5. Perceptual-cognitive-motor learning system and method [P] . AU2020244427A1 . 2020-10-29

  机译： 知觉-认知运动学习系统和方法

• 1. Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems [J] . Albert Morera, Juan Martínez de Aragón, José Antonio Bonet, 森林生态系统：英文版 . 2021,第002期
• 2. Performance of statistical and machine learning-based methods for predicting biogeographical patterns of fungal productivity in forest ecosystems [J] . Albert Morera, Juan Martínez de Aragón, José Antonio Bonet, 中国林学（英文版） . 2021,第002期
• 3. A Hybrid Learning Method for the Data-Driven Design of Linguistic Dynamic Systems [J] . Chengdong Li, Jianqiang Yi, Yisheng Lv, 自动化学报（英文版） . 2019,第006期
• 4. (1333) DEVELOPMENT AND DELIVERY OF AN E-LEARNING COURSE “CALCULATION METHODS FOR POWER SYSTEMS STABILITY” IN LEARNING MANAGEMENT SYSTEM [C] . Yury Khrushchev, Natalia Batseva, Natalia Fix International Technology, Education and Development Conference . 2017
• 5. Assessment of Web-Based Authentication Methods in the U.S.: Comparing E-Learning Systems to Internet Healthcare Information Systems. [D] . Mattord, Herbert J. 2012
• 6. Exploring Evolutionary Fitness in Biological Systems Using Machine Learning Methods [O] . Oleg Kuzenkov, Andrew Morozov, Galina Kuzenkova 2021
• 7. Designing Of Lectures through Systemic Approach to Teaching and Learning, a Model for (SATL) MethodologyConcepts play a vital role in enabling chemist to deliver. The recently developing concept based teaching methods are likely to play a pivotal role towards the efforts for promoting understanding of chemical concepts and assimilation of vital theoretical foundations of chemistry. A. F. M. Fahmy and J. J. Lagowski are the leading figures in a worldwide derive towards concept building of young generation through this novel mode of teaching and learning. However, their efforts, till recently have been mostly organic chemistry specific. Nevertheless, SALTC teaching methods are equally applicable to various other disciplines in chemistry. SATLC methodology can also be thus used to overcome the problems faced by students in understanding the efficacy of any chemical entity for a specific and desired chemical action. This presentation outlines possible applications of SATLC technique to the concepts related to a number of aspects of Physical Chemistry that are to be put together in one unit for facilitating a chemical compound’s application in any chemical change desired by any researcher. [O] . *M. Nazir, I. I. Naqvi 2012
• 8. Precursor Systems Analyses of Automated Highway Systems. Knowledge Based Systemsand Learning Methods for AHS. Volume 10 [R] . Schmoltz, J., Blumer, A., Noonan, J., 1995

• 1. Machine Learning and Classical Forecasting Methods Based Decision Support Systems for COVID-19 [J] . RamazanÜnlü ,Ersin Namlı . 计算机、材料和连续体(英文) . 2020,第9期
• 2. Machine learning methods to assist energy system optimization [J] . A.T.D.Perera ,P.U.Wickramasinghe ,Vahid M.Nik . 建筑节能 . 2019,第6期
• 3. 认知无线电NC-OFDM系统中基于压缩感知的信道估计新方法 [C] . 何雪云 ,宋荣方 ,周克琴 . 2011全国认知无线网络学术会议 . 2011
• 4. 基于机器学习与压缩感知的认知无线电频谱感知方法研究 [A] . 蔡卓燃 . 2013