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Daniele Granata, Alberto Savino and Alex Zanotti
The present study aimed to investigate the capability of mid-fidelity aerodynamic solvers in performing a preliminary evaluation of the static and dynamic stability derivatives of aircraft configurations in their design phase. In this work, the mid-fidel...
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Sorin Zoican, Roxana Zoican, Dan Galatchi and Marius Vochin
This paper illustrates a general framework in which a neural network application can be easily integrated and proposes a traffic forecasting approach that uses neural networks based on graphs. Neural networks based on graphs have the advantage of capturi...
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Talal Alshammari, Rabie A. Ramadan and Aakash Ahmad
The advancement of the Internet of Things applications (technologies and enabling platforms), consisting of software and hardware (e.g., sensors, actuators, etc.), allows healthcare providers and users to analyze and measure physical environments at home...
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David Chaves-Fraga, Oscar Corcho, Francisco Yedro, Roberto Moreno, Juan Olías and Alejandro De La Azuela
Research-Performing Organizations (e.g., research centers, universities) usually accumulate a wealth of data related to their researchers, the generated scientific results and research outputs, and publicly and privately-funded projects that support thei...
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Milad Memarzadeh, Ata Akbari Asanjan and Bryan Matthews
Identifying safety anomalies and vulnerabilities in the aviation domain is a very expensive and time-consuming task. Currently, it is accomplished via manual forensic reviews by subject matter experts (SMEs). However, with the increase in the amount of d...
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Ján Erdélyi, Richard Honti, Tomá? Funtík, Pavol Mayer and Aset Madiev
The effort towards automation of the building industry processes has increased significantly over the last years worldwide. One of the key tools in this process is the modeling of buildings using Building Information Modeling (BIM). When following fundam...
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L. G. Divyanth, D. S. Guru, Peeyush Soni, Rajendra Machavaram, Mohammad Nadimi and Jitendra Paliwal
Applications of deep-learning models in machine visions for crop/weed identification have remarkably upgraded the authenticity of precise weed management. However, compelling data are required to obtain the desired result from this highly data-driven ope...
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Minhyuk Park, Paul Zaharias and Tandy Warnow
The estimation of phylogenetic trees for individual genes or multi-locus datasets is a basic part of considerable biological research. In order to enable large trees to be computed, Disjoint Tree Mergers (DTMs) have been developed; these methods operate ...
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Szabolcs Szima, Carlos Arnaiz del Pozo, Schalk Cloete, Szabolcs Fogarasi, Ángel Jiménez Álvaro, Ana-Maria Cormos, Calin-Cristian Cormos and Shahriar Amini
Cost-effective CO2 capture and storage (CCS) is critical for the rapid global decarbonization effort recommended by climate science. The increase in levelized cost of electricity (LCOE) of plants with CCS is primarily associated to the large energy penal...
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Mukhlis Mukhlis,Bernadette Robiani,Dirta Pratama Atiyatna
Pág. 28 - 34
The pattern of the spread of small food industries in Palembang show has led to the establishment of concentration patterns or clusters. This is evident from the grouping type of food industries in certain regions of the city of Palembang. The pattern of...
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