METHOD AND SYSTEM FOR MACHINE CONCEPT UNDERSTANDING

• 1. 机器人系统、机器人系统的机器人管理计算机和机器人系统的管理方法 [P] . 中国专利： CN104339355A . 2015-02-11
• 2. 测量系统、测量方法、机器人控制方法、机器人、机器人系统以及拾取装置 [P] . 中国专利： CN106969704A . 2017-07-21
• 3. Methods and systems for understanding machine concepts [P] . JP2021536633A . 2021-12-27

  机译： 理解机器概念的方法和系统

• 4. METHOD AND SYSTEM FOR MACHINE CONCEPT UNDERSTANDING [P] . 美国专利： US2020070352A1 . 2020-03-05

  机译： 机器概念理解的方法和系统

• 5. METHOD AND SYSTEM FOR MACHINE CONCEPT UNDERSTANDING [P] . 世界知识产权组织专利： WO2020051367A1 . 2020-03-12

  机译： 机器概念理解的方法和系统

• 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. ENHANCING UNDERSTANDING OF EQUILIBRIUM CONCEPTS IN GENERAL CHEMISTRY USING THE SYSTEMATIC METHOD [C] . Melinda Z. Kalainoff, Dawn E. Riegner, Matthew Deloia, ASEE Annual Conference and Exposition . 2006
• 4. A Mixed-Methods Approach to Understanding the Link between Self-Insight and Countertransference Occurrences within Clinical Therapists: Applying Psychoanalytic Concepts to Explain Countertransference Processing and Reduction Opportunities [D] . Oliver, Catherine S. 2018
• 5. Recognizing Disjoint Clinical Concepts in Clinical Text Using Machine Learning-based Methods [O] . Buzhou Tang, Qingcai Chen, Xiaolong Wang, 2015
• 6. 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
• 7. Machine Systems for Exploration and Manipulation a Conceptual Framework and Method of Evaluation. [R] . Bajcsy, R., Lederman, S., Klatzky, R. L. 1989

• 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. Conceptual Framework for an Integrated Method to Optimize Sustainability of Engineering Systems [J] . Alfredo del Cano ,Maria Pilar de la Cruz ,Juan Jose Cartelle . 能源与动力工程 . 2015,第007期
• 4. 融合理性主义方法和经验主义方法的思路初探——汉英机器翻译系统英文生成选词模型的设计 [C] . 陈毅东 ,李堂秋 ,郑旭玲 . 2002年全国机器翻译研讨会 . 2002
• 5. 基于机器视觉乒乓球机器人的方法研究和视觉系统开发 [A] . 何嘉辉 . 2018