Zobrazeno 1 - 10
of 1 194
pro vyhledávání: '"model inversion"'
Autor:
Marcin Jastrzębski, Jacek Kabziński
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract A novel adaptive tracking controller for magnetic levitation systems (MLS) is developed. The controller is based on a special adaptive control scheme incorporating fuzzy model of electromagnetic acceleration enabling fast and accurate fuzzy
Externí odkaz:
https://doaj.org/article/db23957f301d49f8b9e91be2b4a81daa
Autor:
Dong Li, Yapeng Wu, Katja Berger, Qianliang Kuang, Wei Feng, Jing M. Chen, Wenhui Wang, Hengbiao Zheng, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104280- (2024)
Nitrogen is one of the most important macronutrients for plant growth and timely estimation of canopy nitrogen content (CNC) is crucial for agricultural applications. Remote sensing has emerged as an important tool to quantify CNC using either empiri
Externí odkaz:
https://doaj.org/article/8bb511361654436b938cf33425ede5ea
Publikováno v:
Yuanzineng kexue jishu, Vol 7, Iss 58, Pp 1432-1439 (2024)
During the operation of pressurized water reactor (PWR), the fuel assemblies would inevitably occur the phenomenon of bowing, due to the factors such as axial irradiation growth, high speed impact of coolant during operation and so on. This phenomeno
Externí odkaz:
https://doaj.org/article/77d072367a51424e833874db260a95a3
Publikováno v:
IEEE Access, Vol 12, Pp 137599-137617 (2024)
The growing use of deep learning models in end-device applications has led to various inference attacks and associated data privacy threats. Recent research also reveals the susceptibility of CNN models to model inversion-inference attacks, including
Externí odkaz:
https://doaj.org/article/110d3240195c4324965a53216cf26638
Autor:
Dong WANG, Qianqian QIN, Kaitian GUO, Rongke LIU, Weipeng YAN, Yizhi REN, Qingcai LUO, Yanzhao SHEN
Publikováno v:
Tongxin xuebao, Vol 44, Pp 94-109 (2023)
As a distributed machine learning technology, federated learning can solve the problem of data islands.However, because machine learning models will unconsciously remember training data, model parameters and global models uploaded by participants wil
Externí odkaz:
https://doaj.org/article/f50b33ccf681434bab6205daa19b4ce9
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 778 (2024)
Over the past six decades, carbonyl sulfide (COS) in terrestrial ecosystems has been extensively studied, with research focusing on exploring its ecological and environmental effects, estimating source–sink volume, and identifying influencing facto
Externí odkaz:
https://doaj.org/article/83d518a03a3d479f8150080f845cbf18
Publikováno v:
Actuators, Vol 13, Iss 5, p 176 (2024)
Handling suspended loads in cluttered environments is critical due to the oscillations arising while the load is traveling. Exploiting active control algorithms is often unviable in industrial applications, due to the necessity of installing sensors
Externí odkaz:
https://doaj.org/article/dd131abc83f6484699ea9b5069cb2ceb
Autor:
Wenlan Yang, Bolin Fu, Sunzhe Li, Zhinan Lao, Tengfang Deng, Wen He, Hongchang He, Zhikun Chen
Publikováno v:
Ecological Indicators, Vol 154, Iss , Pp 110755- (2023)
Karst wetlands are widely distributed throughout the southwest China, and play an important role in enhancing carbon sequestration and improving water quality in karst areas. The internationally important karst wetland of Huixian is the largest karst
Externí odkaz:
https://doaj.org/article/da1d16f4999f423a8b3a8f265e823348
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19782- (2023)
The exploitation of mineral resources has seriously polluted the environment around mines, notably in terms of heavy metal contamination of tailings pond soil. Hyperspectral remote sensing, as opposed to conventional on-site sampling and laboratory a
Externí odkaz:
https://doaj.org/article/ce024d228d234474a272817ec4fb90d2
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