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Morgan Fonley, Ricardo Mantilla and Rodica Curtu
The concept of doing hydrology backwards, introduced in the literature in the last decade, relies on the possibility to invert the equations relating streamflow fluctuations at the catchment outlet to estimated hydrological forcings throughout the basin....
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Haiyan Gao, Zhichao Chen and Weiqiang Tang
The method proposed can be used for the identification and control of multivariable nonlinear systems.
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Pavlos Nikolaidis and Harris Partaourides
The intermittent and uncontrollable power output from the ever-increasing renewable energy sources, require large amounts of operating reserves to retain the system frequency within its nominal range. Based on day-ahead load forecasts, many research work...
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Lorenzo Rapetti, Yeshasvi Tirupachuri, Kourosh Darvish, Stefano Dafarra, Gabriele Nava, Claudia Latella and Daniele Pucci
This paper contributes towards the development of motion tracking algorithms for time-critical applications, proposing an infrastructure for dynamically solving the inverse kinematics of highly articulate systems such as humans. The method presented is m...
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Kenji Taniguchi
Future variations in the ocean wave climate caused by global warming could affect various coastal issues. Using a third-generation wave model, this study produced projections of the ocean wave climate for winter around Japan, focusing on the Japan Sea si...
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Ernest O. Asare and Leonard K. Amekudzi
Malaria is a major public health challenge in Ghana and adversely affects the productivity and economy of the country. Although malaria is climate driven, there are limited studies linking climate variability and disease transmission across the various a...
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Seungjae Lee, Benjamin G. Heydecker, Jooyoung Kim, Sangung Park
Pág. 720 - 737
Research on connected vehicle environment has been growing rapidly to investigate the effects of real-time exchange of kinetic information between vehicles and road condition information from the infrastructure through radio communication technologies. A...
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Lei Huang and Zhishan Zhang
The stability and sustainability of revegetated ecosystems is a central topic in ecological research. In this study, long-term monitoring and focused research on vegetation, soil and soil moisture from 2006 to 2012 were used to develop a model for evalua...
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Bo Tian, Kecheng Liu and Yuanzhong Chen
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Bo Tian, Kecheng Liu and Yuanzhong Chen
Trust is one of the most important factors that influence the successful application of network service environments, such as e-commerce, wireless sensor networks, and online social networks. Computation models associated with trust and reputation have b...
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Graciela Chaparro Guevara,Lorenzo Escot Mangas
Pág. 131 - 145
This article examines control of chaotic behavior in a dynamic hyperinflation system using a method proposed by Ott, Grebogi, and Yorke (1990) (OGY method), which seeks to control the chaotic dynamic by slightly perturbing some of the system?s parameters...
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Vitalina Babenko, Elena Alisejko, Zoya Kochuyeva
Pág. 6 - 13
The subject matter of the article is a discrete dynamic system that consists of an object whose dynamics is described by a vector linear discrete recurrent relation and is affected by control parameters (managements) and uncontrolled parameters (th...
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Manuel García-León, Marcos G. Sotillo, Marc Mestres, Manuel Espino and Enrique Álvarez Fanjul
The Puertos del Estado SAMOA coastal and port ocean forecast service delivers operational ocean forecasts to the Spanish Port Authorities since 01/2017 (originally set-up for 9 ports). In its second development phase (2019?2021), the SAMOA service has be...
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Bo Tian, Jingti Han and Kecheng Liu
Trust and reputation are important factors that influence the success of both traditional transactions in physical social networks and modern e-commerce in virtual Internet environments. It is difficult to define the concept of trust and quantify it beca...
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Bo Tian, Jingti Han and Kecheng Liu
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Haydee Salmun and Andrea Molod
The present study extends the applicability of a statistical model for prediction of storm surge originally developed for The Battery, NY in two ways: I. the statistical model is used as a biascorrection for operationally produced dynamical surge forecas...
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ANANDU D. VERNEKAR,JIAYU ZHOU,BENJAMÍN KIRTMAN
FForecast errors exhibit the characteristics of approximations in simulating dynamical and physical processes in models. The models are very complex and hence it is not always possible to identify the approximations responsible for any particular erro...
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Ebenezer O. Oluwasakin and Abdul Q. M. Khaliq
Artificial neural networks have changed many fields by giving scientists a strong way to model complex phenomena. They are also becoming increasingly useful for solving various difficult scientific problems. Still, people keep trying to find faster and m...
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Michaël Broutin, Amir Sadoun
Pág. 3572 - 3581
Armed with its experience of the flexible airfield pavement testing for which an advanced dynamical method was developed and a technical guidance released in 2014, STAC took on the challenge of transposing the methodology to rigid pavements. The approach...
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Tayyab Manzoor, Hailong Pei, Zhongqi Sun and Zihuan Cheng
This paper proposes a model predictive control (MPC) approach for ducted fan aerial robots using physics-informed machine learning (ML), where the task is to fully exploit the capabilities of the predictive control design with an accurate dynamic model b...
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