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Martin Krajcík, Du?ana Alshatti Schmidt and Matú? Baráth
Employees? work environment has drastically shifted from offices to homes. Telework is often a desired employee benefit, but employers consider it a temporary setting. The lasting COVID-19 pandemic has changed the concept of telework. Home office has gai...
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Aravind Kolli, Qi Wei and Stephen A. Ramsey
In this work, we explored computational methods for analyzing a color digital image of a wound and predicting (from the analyzed image) the number of days it will take for the wound to fully heal. We used a hybrid computational approach combining deep ne...
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Andrea Gatto, Gabriele Accarino, Valeria Aloisi, Francesco Immorlano, Francesco Donato and Giovanni Aloisio
Compartmental models have long been used in epidemiological studies for predicting disease spread. However, a major issue when using compartmental mathematical models concerns the time-invariant formulation of hyper-parameters that prevent the model from...
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Fernando Tamarit, Emilio García, Eduardo Quiles and Antonio Correcher
This work is part of a series of publications that propose a floating hybrid system for which a simulation tool has been developed, called FHYGSYS (Floating Hybrid Generator Systems Simulator). The objective of this series of publications is to analyze t...
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Pavel Nikolaev
Pág. 36 - 40
This article describes the deep neural network model for books classification by genre on the base of text description. Such problems are usually solved with the use of models consisting of recurrent layers, however, in this work it is proposed to use th...
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Pavel Nikolaev
Pág. 36 - 40
This article describes the deep neural network model for books classification by genre on the base of text description. Such problems are usually solved with the use of models consisting of recurrent layers, however, in this work it is proposed to use th...
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Domenico Di Leone, Francesco Lo Balbo, Alessandro De Gaspari and Sergio Ricci
This article presents a modal correlation and update carried out on an aeroelastic wind tunnel demonstrator representing a conventional passenger transport aircraft. The aim of this work is the setup of a corresponding numerical model that is able to cap...
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Igor Paz, Bernard Willinger, Auguste Gires, Bianca Alves de Souza, Laurent Monier, Hervé Cardinal, Bruno Tisserand, Ioulia Tchiguirinskaia and Daniel Schertzer
Recent studies have highlighted the need for high resolution rainfall measurements for better modelling of urban and peri-urban catchment responses. In this work, we used a fully-distributed model called ?Multi-Hydro? to study small-scale rainfall variab...
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Ruslans Babajans, Darja Cirjulina, Filips Capligins, Deniss Kolosovs and Anna Litvinenko
The current work is focused on studying the performance of the Pecora?Carroll synchronization technique to achieve synchronization between the analog and discrete chaos oscillators. The importance of this study is supported by the growing applications of...
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Zhan Liu, Wenguang Jia, Longhui Liang and Zhenya Duan
This work investigates the effects of pressure pulsations on reciprocating natural gas compressor performance thermodynamically. A nonlinear hybrid numerical model is thus developed to consider the interaction between the compressor and the pipeline syst...
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Pablo L. Durango-Cohen, Elaine C. McKenzie
Pág. 1025 - 1037
The development of a systematic framework to support the design of transit bus fleets is justified by the significant and long-lasting implications associated with decisions to purchase transit vehicles, as well as by developments in fuel propulsion and ...
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Mingxin Zou, Yanqing Zhou, Xinhua Jiang, Julin Gao, Xiaofang Yu and Xuelei Ma
Field manual labor behavior recognition is an important task that applies deep learning algorithms to industrial equipment for capturing and analyzing people?s behavior during field labor. In this study, we propose a field manual labor behavior recogniti...
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Wen Gao, Yanqiang Bi, Xiyuan Li, Apeng Dong, Jing Wang and Xiaoning Yang
Hybrid airships, combining aerodynamic lift and buoyant lift, are efficient near-space aircraft for scientific exploration, observation, and surveillance. Compared to conventional airplanes and airships, hybrid airships offer unique advantages, including...
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Shuai Ma, Yafeng Wu, Hua Zheng and Linfeng Gou
Aiming at engine health management, a novel hybrid prediction method is proposed for exhaust gas temperature (EGT) prediction of gas turbine engines. This hybrid model combines a nonlinear autoregressive with exogenous input (NARX) model and a moving ave...
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Ruinan Chen, Jie Hu, Xinkai Zhong, Minchao Zhang and Linglei Zhu
Existing environment modeling approaches and trajectory planning approaches for intelligent vehicles are difficult to adapt to multiple scenarios, as scenarios are diverse and changeable, which may lead to potential risks. This work proposes a cognitive ...
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Simone Castelli and Andrea Belleri
In recent years, structural health monitoring, starting from accelerometric data, is a method which has become widely adopted. Among the available techniques, machine learning is one of the most innovative and promising, supported by the continuously inc...
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Igor Lebedev, Anastasia Uvarova, Maria Mochalova and Natalia Menshutina
In this work, active pharmaceutical ingredients release from aerogel particles and active pharmaceutical ingredients transportation processes were investigated. Experimental studies were carried out on the release of various types of active pharmaceutica...
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Mohammed Akallouch, Oussama Akallouch, Khalid Fardousse, Afaf Bouhoute and Ismail Berrada
Accurate and timely traffic information is a vital element in intelligent transportation systems and urban management, which is vitally important for road users and government agencies. However, existing traffic prediction approaches are primarily based ...
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Danveer Rajpal, Akhil Ranjan Garg, Om Prakash Mahela, Hassan Haes Alhelou and Pierluigi Siano
Hindi is the official language of India and used by a large population for several public services like postal, bank, judiciary, and public surveys. Efficient management of these services needs language-based automation. The proposed model addresses the ...
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Dian Yu and Shouqian Sun
Subject-independent emotion recognition based on physiological signals has become a research hotspot. Previous research has proved that electrodermal activity (EDA) signals are an effective data resource for emotion recognition. Benefiting from their gre...
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