METHOD FOR PROVIDING COMPANION ANIMAL SOUND SERVICE BY USING DEEP NEURAL NETWORK MACHINE LEARNING-BASED ARTIFICIAL INTELLIGENCE

• 1. 关于利用PFD技术来比较、区分、判读包括禽流感在内的动物疾病感染个体的声音的电子工程学谐波算法的服务提供方法及装置 [P] . 中国专利： CN111133468A . 2020-05-08
• 2. 基于机器学习服务系统提供预估服务的方法、装置及设备 [P] . 中国专利： CN111723940A . 2020-09-29
• 3. METHOD FOR PROVIDING COMPANION ANIMAL SOUND SERVICE BY USING DEEP NEURAL NETWORK MACHINE LEARNING-BASED ARTIFICIAL INTELLIGENCE [P] . 世界知识产权组织专利： WO2020071696A1 . 2020-04-09

  机译： 基于深层神经网络机器学习的人工智慧提供同伴动物声音服务的方法

• 4. METHOD FOR PROVIDING COMPANION ANIMAL SOUND SERVICE WITH ARTIFICIAL INTELLIGENCE BASED ON DEEP NEURAL NETWORK MACHINE LEARNING [P] . US2021383217A1 . 2021-12-09

  机译： 基于深度神经网络机学习的人工智能提供伴随动物声音服务的方法

• 5. Method for providing voice of companion animal with artificial intelligence based on deep neural network machine learning [P] . 韩国专利： KR102023649B1 . 2019-09-20

  机译： 基于深度神经网络机器学习的陪伴动物语音人工智能的方法

• 1. Development of a Methodology for Determination and Analysis of Thermal Displacements of Machine Tools Using Finite Elements Method and Artificial Neural Network [J] . Romualdo Figueiredo de Sousa, Fracisco Augusto Vieira da Silva, Joao Bosco Aquino Silva, 机械工程与自动化：英文版 . 2014,第006期
• 2. A Deep Learning-Based Computational Algorithm for Identifying Damage Load Condition: An Artificial Intelligence Inverse Problem Solution for Failure Analysis [J] . Shaofei Ren, Guorong Chen, Tiange Li, 工程与科学中的计算机建模(英文) . 2018,第012期
• 3. Research on the Effect of Artificial Intelligence Real Estate Forecasting Using Multiple Regression Analysis and Artificial Neural Network: A Case Study of Ghana [J] . Madami Michael Ishaku, Hill Isaac Lewu 电脑和通信（英文） . 2021,第010期
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• 8. Plant Segmentation by Supervised Machine Learning Methods and Phenotypic Trait Extraction of Soybean Plants Using Deep Convolutional Neural Networks with Transfer Learning [D] . Adams, Jason R. 2020
• 9. Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling Least Squares Support Vector Machine and Artificial Neural Networks [O] . Mohammad Sadegh Mazloom, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, 2020
• 10. Artificial Intelligence Based Methods for Asphaltenes Adsorption by Nanocomposites: Application of Group Method of Data Handling, Least Squares Support Vector Machine, and Artificial Neural Networks [O] . Mohammad Sadegh Mazloom, Farzaneh Rezaei, Abdolhossein Hemmati-Sarapardeh, 2020

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