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Julián Espinosa Tomás, Jorge Pérez Rodríguez, David Más Candela, Carmen Vázquez Ferri and Esther Perales
It is often difficult to subjectively determine subjects? uncorrected visual acuity given their age, lack of cooperation with subjective measurement, etc. In other cases, it would be desirable to be able to predict this visual acuity prior to any type of...
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Samuel Terra Vieira,Renata Lopes Rosa,Demóstenes Zegarra Rodríguez
Pág. 180 - 187
Many factors can affect the users? quality of experience (QoE) in speech communication services. The impairment factors appear due to physical phenomena that occur in the transmission channel of wireless and wired networks. The monito...
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Mike Giansiracusa,Larry Pearlstein,Tyler Daws,Soundararajan Ezekiel,Abdullah Ali Alshehri
Multi-resolution image decomposition transforms are a popular approach to current image processing problems such as image fusion, noise reduction, and deblurring. Over the past few decades, new algorithms have been developed based on the wavelet transfor...
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Jiacun Wang, Guipeng Xi, Xiwang Guo, Shujin Qin and Henry Han
The scheduling of disassembly lines is of great importance to achieve optimized productivity. In this paper, we address the Hybrid Disassembly Line Balancing Problem that combines linear disassembly lines and U-shaped disassembly lines, considering multi...
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Andrea Alaimo, Antonio Esposito, Calogero Orlando and Andre Simoncini
Workload and fatigue of aircraft pilots represent an argument of great interest in the framework of human factors and a pivotal point to be considered in aviation safety. 75% of aircraft accidents are related to human errors that, in most cases, are due ...
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Antonio Collazo Garcia,Sandra Casas
Pág. pp. 126 - 139
Context: Quality of Experience (QoE) enables the description of user perceptions about the performance of a particular application or service. In the mobile computing context, it is an important measure for service providers and users, since QoE makes it...
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Dawid Laszuk,Oswaldo Jose Cadenas,Slawomir Jaroslaw Nasuto
Pág. 8 - 14
Empirical Mode Decomposition (EMD) is a data-driven technique for extraction of oscillatory components from data. Although it has been introduced over 15 years ago, its mathematical foundations are still missing which also implies lack of objective metri...
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Claudia Yohana Arias-Portela, Jaime Mora-Vargas and Martha Caro
The conceptual framework for assessing the situational awareness (SA) of drivers consists of three hierarchical levels: perception of the elements of the environment, comprehension of the elements, and decision-making in the near future. A common challen...
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Emmanuel Effah, Ousmane Thiare and Alexander M. Wyglinski
This paper presents an in-depth contextualized tutorial on Agricultural IoT (Agri-IoT), covering the fundamental concepts, assessment of routing architectures and protocols, and performance optimization techniques via a systematic survey and synthesis of...
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Yuji Takubo and Masahiro Kanazaki
Landing of supersonic transport (SST) suffers from a large uncertainty due to its highly sensitive aerodynamic properties in the subsonic domain, as well as the wind gusts around runways. At the vehicle design stage, a landing trajectory optimization und...
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Jafar Yazdi, Young Hwan Choi and Joong Hoon Kim
We developed a hybrid algorithm for multi-objective design of water distribution networks (WDNs) in the present study. The proposed algorithm combines the global search schemes of differential evolution (DE) with the local search capabilities of harmony ...
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Jafar Yazdi, Young Hwan Choi, Joong Hoon Kim
Pág. 1 - 20
We developed a hybrid algorithm for multi-objective design of water distribution networks (WDNs) in the present study. The proposed algorithm combines the global search schemes of differential evolution (DE) with the local search capabilities of harmony ...
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Dimitris Fotakis, Loukas Kavouras and Lydia Zakynthinou
The Dynamic Facility Location problem is a generalization of the classic Facility Location problem, in which the distance metric between clients and facilities changes over time. Such metrics that develop as a function of time are usually called ?evolvin...
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Ping Huang and Yafeng Wu
Airborne speech enhancement is always a major challenge for the security of airborne systems. Recently, multi-objective learning technology has become one of the mainstream methods of monaural speech enhancement. In this paper, we propose a novel multi-o...
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Nasser Lotfi and Mazyar Ghadiri Nejad
Multi-objective task graph scheduling is a well-known NP-hard problem that plays a significant role in heterogeneous distributed systems. The solution to the problem is expected to optimize all scheduling objectives. Pretty large state-of-the-art algorit...
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Maria Coutinho, Frederico Afonso, Alain Souza, David Bento, Ricardo Gandolfi, Felipe R. Barbosa, Fernando Lau and Afzal Suleman
The electrification of an aircraft?s propulsive system is identified as a potential solution towards a lower carbon footprint in the aviation industry. One of the effects of increased electrification is the generation of a large amount of waste heat that...
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Christos Bormpotsis, Mohamed Sedky and Asma Patel
In the realm of foreign exchange (Forex) market predictions, Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have been commonly employed. However, these models often exhibit instability due to vulnerability to data perturbations...
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Francesca Fallucchi, Marco Coladangelo, Romeo Giuliano and Ernesto William De Luca
There are several areas in which organisations can adopt technologies that will support decision-making: artificial intelligence is one of the most innovative technologies that is widely used to assist organisations in business strategies, organisational...
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Uthman Baroudi, Mohammad Alshaboti, Anis Koubaa and Sahar Trigui
In this paper, we address the problem of online dynamic multi-robot task allocation (MRTA) problem. In the existing literature, several works investigated this problem as a multi-objective optimization (MOO) problem and proposed different approaches to s...
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