维普中文期刊产品整合服务
11篇 您的检索式:作者名="Thayananthan"
    题名 作者 年代 出处 被引量
1Model-based hand tracking using a hierarchical Bayesian filter 显示文摘Stenger B Thayananthan A Torr P H S etal 2006IEEE Transactions on Pattern Analysis and Machine Intelligence2006,28,9:1
2Point set registration via particle filtering and stochastic dynamics显示文摘SANDHU R DAMBREVILLE S THAYANANTHAN A 2010IEEE Transactions on Pattern Analysis and Machine Intelligence2010,32,8:1
3Model-based hand tracking using a hierarchical Bayesian filter显示文摘STENGER B THAYANANTHAN A TORR P 2006IEEE Transactions on Pattern Analysis and Ma- chine Intelligence2006,28,9:1
4Sugar syrup (DE 50 - 70) from corn flour显示文摘Arasaratnam V Thayananthan K Balasubramanian K 1998Starch1998,50,:1
5Model-based hand tracking using a hierarchical Bayesian filter显示文摘Stenger B Thayananthan A Torr PHS 0,,09:1
6Model-based hand tracking using a hierarchical Bayesian fiher显示文摘Stenger B Thayananthan A Torr PHS 2006IEEE Transactions on Pattern Analysis and Machine Intelligence2006,28,9:1
7Pose Estimation and Tracking Using Muhivariate Regression 显示文摘Thayananthan A Navaratnam R Stenger B 2008Pattern Recognition Letters2008,29,9:1
8Evaluation of Iospheric Sporadic-E Clutter in an Arctic Environment for the Assessment of High-Frequency Surface-Wave Radar Surveillane 显示文摘Thayananthan T John M 2005IEEE Trans on GRS2005,43,5:1
9Shape Context and Chamfer Matching in Cluttered Scenes显示文摘THAYANANTHAN A STENGER B TORR P H S Cipolla R 2003IEEE Computer Society Conference on Computer Vision and Pattern Recognition2003,6,1:1
10Model-based hand tracking using a hierarchical Bayesian filter 显示文摘Stenger B Thayananthan A Torr P H S 2006IEEE Transactions on Pattern Analysis and Machine Intelligence2006,28,9:1
11A Survey on the Role of Complex Networks in IoT and Brain Communication显示文摘Complex networks on the Internet of Things(IoT)and brain communication are the main focus of this paper.The benefits of complex networks may be applicable in the future research directions of 6G,photonic,IoT,brain,etc.,communication technologies.Heavy data traffic,huge capacity,minimal level of dynamic latency,etc.are some of the future requirements in 5G+and 6G communication systems.In emerging communication,technologies such as 5G+/6G-based photonic sensor communication and complex networks play an important role in improving future requirements of IoT and brain communication.In this paper,the state of the complex system considered as a complex network(the connection between the brain cells,neurons,etc.)needs measurement for analyzing the functions of the neurons during brain communication.Here,we measure the state of the complex system through observability.Using 5G+/6G-based photonic sensor nodes,finding observability influenced by the concept of contraction provides the stability of neurons.When IoT or any sensors fail to measure the state of the connectivity in the 5G+or 6G communication due to external noise and attacks,some information about the sensor nodes during the communication will be lost.Similarly,neurons considered sing the complex networks concept neuron sensors in the brain lose communication and connections.Therefore,affected sensor nodes in a contraction are equivalent to compensate for maintaining stability conditions.In this compensation,loss of observability depends on the contraction size which is a key factor for employing a complex network.To analyze the observability recovery,we can use a contraction detection algorithm with complex network properties.Our survey paper shows that contraction size will allow us to improve the performance of brain communication,stability of neurons,etc.,through the clustering coefficient considered in the contraction detection algorithm.In addition,we discuss the scalability of IoT communication using 5G+/6G-based photonic technology.Vijey Thayananthan Aiiad Albeshri Hassan A.Alamri Muhammad Bilal Qureshi Muhammad Shuaib Qureshi 2023Computers, Materials & Continua2023,76,9:0
返回顶部 每页显示:
共1页 首页 上一页 第1页 下一页 末页 /1 跳转

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1 渝公网安备 50019002500403号 违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费