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Haibo Chu, Zhuoqi Wang and Chong Nie
Accurate and reliable monthly streamflow prediction plays a crucial role in the scientific allocation and efficient utilization of water resources. In this paper, we proposed a prediction framework that integrates the input variable selection method and ...
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Abdullah Kurtoglu, Amir H. M. Shirazi, Shahriar Mirabbasi and Hossein Miri Lavasani
This work presents a novel trusted LC voltage-controlled oscillator (VCO) with an embedded compact analog Physically Unclonable Function (PUF) used for authentication. The trusted VCO is implemented in a 1P9M 65 nm standard CMOS process and consumes 1.75...
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Yin Tang, Lizhuo Zhang, Dan Huang, Sha Yang and Yingchun Kuang
In view of the current problems of complex models and insufficient data processing in ultra-short-term prediction of photovoltaic power generation, this paper proposes a photovoltaic power ultra-short-term prediction model named HPO-KNN-SRU, based on a S...
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Wendong Yang, Yun Jiang, Yulin Chi, Zhengjia Xu and Wenbin Wei
The continuous and strategic planning of full-service carriers plays a prominent role in transferring and adapting them into resilient full-service carrier network structures. The exploration of full-service carrier network structures using the latest lo...
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Nikita Andriyanov
The problem solved in the article is connected with the increase in the efficiency of phraseological radio exchange message recognition, which sometimes takes place in conditions of increased tension for the pilot. For high-quality recognition, signal pr...
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Prabal Pratap Singh and Deepu Philip
Terrorism perpetrated in any country by either internal or external actors jeopardizes the country?s security, economic growth, societal peace, and harmony. Hence, accurate modelling of terrorism has become a necessary component of the national security ...
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Weijian Huang, Qi Song and Yuan Huang
Short-term power load forecasting is of great significance for the reliable and safe operation of power systems. In order to improve the accuracy of short-term load forecasting, for the problems of random fluctuation in load and the complexity of load-in...
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Yi Zhao, Haibin Shi, Qingfeng Miao, Shuya Yang, Zhiyuan Hu, Cong Hou, Cuicui Yu and Yan Yan
The Hetao Irrigation District is a typical salinized irrigation district in China, and soil salinization restricts agricultural development. To explore the spatial and temporal variability of soil water and salt and the coupling relationship in the Hetao...
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Soojeong Lee, Hyeonjoon Moon, Chang-Hwan Son and Gangseong Lee
Various machine learning models have been used in the biomedical engineering field, but only a small number of studies have been conducted on respiratory rate estimation. Unlike ensemble models using simple averages of basic learners such as bagging, ran...
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João Sequeira, Jorge Louçã, António M. Mendes and Pedro G. Lind
We analyze the empirical series of malaria incidence, using the concepts of autocorrelation, Hurst exponent and Shannon entropy with the aim of uncovering hidden variables in those series. From the simulations of an agent model for malaria spreading, we ...
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