Zobrazeno 1 - 10
of 2 740
pro vyhledávání: '"Recognition algorithm"'
Autor:
Chunling Yu
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract The expansion of virtual and augmented reality, intelligent assistance technology, and other fields has led to an increased demand for human–computer interaction methods that are more natural and intuitive. Gesture recognition has become a
Externí odkaz:
https://doaj.org/article/7c0813b2bf294435a696c9632b3896b3
Autor:
Caiyuan Xiao
Publikováno v:
Measurement: Sensors, Vol 33, Iss , Pp 101102- (2024)
In recent years, China's technological level has undergone rapid development, and technologies such as wireless local area networks and wireless sensor networks have also undergone rapid development in this situation. Under the influence of developed
Externí odkaz:
https://doaj.org/article/0193fb42c13e40648ff6ea131208690e
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper explores the process of traditional voiceprint recognition, analyzes the traditional GMM recognition algorithm, and proposes a GE2E-based voiceprint recognition algorithm by combining it with the deep neural network. It firstly uses the Bi
Externí odkaz:
https://doaj.org/article/9960b164563b4b5e9e785533eb1f67be
Autor:
Dong Guo, Zhengrong Ling, Yifeng Tang, Gen Li, Tieshan Zhang, Haoxiang Zhao, Hao Ren, Yajing Shen, Xiong Yang
Publikováno v:
Sensors, Vol 24, Iss 15, p 4912 (2024)
Timely and accurate detection of viruses is crucial for infection diagnosis and treatment. However, it remains a challenge to develop a portable device that meets the requirement of being portable, powerless, user-friendly, reusable, and low-cost. Th
Externí odkaz:
https://doaj.org/article/8b15a77ad5814ee08d91596bcc4621c1
Autor:
Chen Yinwen
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Starting with the actual multimedia English teaching, this paper analyzes the advantages of an intelligent learning environment as well as the application of virtual reality technology in English teaching. Comparing the traditional CAI courseware dev
Externí odkaz:
https://doaj.org/article/9dd4c2aa395e4b2abeb9f7dceb5ef904
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the development of artificial intelligence and robotics technology, the combination of artificial intelligence and medical device research and development has been promoted, which is an important product of the development of artificial intellig
Externí odkaz:
https://doaj.org/article/4bac936dd63a467ebe277bd28d45a290
Autor:
Jiang Mingsi
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the goal of improving the ability of higher education management and student cultivation, this paper applies face recognition technology to higher education management and student cultivation and proposes a new model of digital management and cu
Externí odkaz:
https://doaj.org/article/4ab6f0829d6845f191883f68c0f54451
Autor:
Chen Yanhui, Zhang Yamin
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
In this paper, the dance teaching digitization process and virtual character dance movement dataset are designed, combined with the Vicon motion capture system, neural network fusion shape technology and dance movement recognition algorithm to realiz
Externí odkaz:
https://doaj.org/article/84e2539bb7da4342b52da197c7b3a96f
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
This paper first analyzes the mechanism of transmission line dancing and constructs the mathematical model of transmission line dancing and the parameters of transmission line dancing. Then, a transmission line dancing monitoring and warning system i
Externí odkaz:
https://doaj.org/article/c773ca96f4c443ffa64a3c47a9de14e6
Autor:
Jiang Mei
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 8, Iss 2, Pp 699-710 (2023)
This paper builds and evaluates a self-learning system for spoken English pronunciation suitable for PC mobile terminal or mobile terminal users, and the core technology of speech recognition is built on Hidden Markov Model (HMM), which is used to de
Externí odkaz:
https://doaj.org/article/051180da587640c4941e76e2351e5079