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Han Lin Shang
A key summary statistic in a stationary functional time series is the long-run covariance function that measures serial dependence. It can be consistently estimated via a kernel sandwich estimator, which is the core of dynamic functional principal compon...
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Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi and Raffaele Zanoli
Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting s...
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Kaiwen Song, Xiujuan Jiang, Tianye Wang, Dengming Yan, Hongshi Xu and Zening Wu
The uneven spatial and temporal distribution of water resources has consistently been one of the most significant limiting factors for social development in many regions. Furthermore, with the intensification of climate change, this inequality is progres...
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Tatiana Ledeneva
At present, fuzzy modeling has established itself as an effective tool for designing and developing systems for various purposes that are used to solve problems of control, diagnostics, forecasting, and decision making. One of the most important problems...
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Wentao Lv, Fan Li, Shijie Luo and Jie Xiang
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that can reduce quality of life and burden families. However, there is a lack of objectivity in clinical diagnosis, so it is very important to develop a method for early and accurate...
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Jamal Khudair Madhloom, Zainab Hammoodi Noori, Sif K. Ebis, Oday A. Hassen and Saad M. Darwish
Due to the Internet?s explosive growth, network security is now a major concern; as a result, tracking network traffic is essential for a variety of uses, including improving system efficiency, fixing bugs in the network, and keeping sensitive data secur...
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Angeliki Bicaku, Maria Sapounaki, Athanasios Kakarountas and Sotiris K. Tasoulis
Throughout the last decades, neuromorphic circuits have incited the interest of scientists, as they are potentially a powerful tool for the treatment of neurological diseases. To this end, it is essential to consider the biological principles of the CNS ...
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Baljeet Singh Saharan, Swati Tyagi, Robin Kumar, Vijay, Hari Om, Balwan Singh Mandal and Joginder Singh Duhan
Zero Budget Natural Farming (ZBNF), utilizing natural resources, multiple cropping systems, and cow-dung- and urine-based products to improve soil biology, has been practiced by thousands of farmers in India. However, without any scientific proof, this t...
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Jin Xie, Zhiyong Huo, Xianru Liu and Zhishun Wang
For attention deficit hyperactivity disorder (ADHD), a common neurological disease, accurate identification is the basis for treatment. In this paper, a novel end-to-end representation learning framework for ADHD classification of functional magnetic res...
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Christian Stary,Matthes Elstermann,Albert Fleischmann,Werner Schmidt
Pág. 31 - 52
Digital Twins are digital models of Cyber-Physical Systems to enable not only continuous monitoring but also active functional improvement of networked services, physical products, machines and devices. This capacity is of utmost importance when recogniz...
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