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Mojtaba Nayyeri, Modjtaba Rouhani, Hadi Sadoghi Yazdi, Marko M. Mäkelä, Alaleh Maskooki and Yury Nikulin
One of the main disadvantages of the traditional mean square error (MSE)-based constructive networks is their poor performance in the presence of non-Gaussian noises. In this paper, we propose a new incremental constructive network based on the correntro...
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Dimitris Mpouziotas, Jeries Besharat, Ioannis G. Tsoulos and Chrysostomos Stylios
AliAmvra is a project developed to explore and promote high-quality catches of the Amvrakikos Gulf (GP) to Artas? wider regions. In addition, this project aimed to implement an integrated plan of action to form a business identity with high added value a...
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Jian Cao, Yang Zhang, Chuanyu Ju, Xinyi Xue and Jiyuan Zhang
With the continuous development of the space industry, the demand for low-gravity simulation experiments on the ground for spacecraft is increasing, to overcome the gravity compensation of spacecraft on the ground tests. This paper presents a new low-gra...
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Zepeng Wang and Yongjun Zhao
The exhaust gas temperature (EGT) baseline of an aeroengine is key to accurately analyzing engine health, formulating maintenance decisions and ensuring flight safety. However, due to the complex performance characteristics of aeroengine and the constrai...
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Jakub Horák and Michaela Jannová
The price of oil is nowadays a hot topic as it affects many areas of the world economy. The price of oil also plays an essential role in how the economic situation is currently developing (such as the COVID-19 pandemic, inflation and others) or the polit...
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Daniel S. Soper
When designed correctly, radial basis function (RBF) neural networks can approximate mathematical functions to any arbitrary degree of precision. Multilayer perceptron (MLP) neural networks are also universal function approximators, but RBF neural networ...
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Ruiqing Wang, Jinlei Feng, Wu Zhang, Bo Liu, Tao Wang, Chenlu Zhang, Shaoxiang Xu, Lifu Zhang, Guanpeng Zuo, Yixi Lv, Zhe Zheng, Yu Hong and Xiuqi Wang
This paper proposes a data anomaly detection and correction algorithm for the tea plantation IoT system based on deep learning, aiming at the multi-cause and multi-feature characteristics of abnormal data. The algorithm is based on the Z-score standardiz...
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Yibo Liu, Qingyun Zuo, Xu Wang and Teng Zong
Entity relation extraction mainly extracts relations from text, which is one of the important tasks of natural language processing. At present, some special fields have insufficient data; for example, agriculture, the metallurgical industry, etc. There i...
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Zheng Qiao, Keyu Zhuang, Tong Zhao, Jingze Xue, Miao Zhang, Shuai Cui and Yunlong Gao
The quadrotor aircraft has the characteristics of simple structure, high attitude maintenance performance and strong maneuverability, and is widely used in air surveillance, post-disaster search and rescue, target tracking and military industry. In this ...
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Jinyang Li, Zhijian Shang, Runfeng Li and Bingbo Cui
To decrease the impact of uncertainty disturbance such as sideslip from the field environment on the path tracking control accuracy of an unmanned rice transplanter, a path tracking method for an autonomous rice transplanter based on an adaptive sliding ...
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