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Yongyao Jiang and Chaowei Yang
With recent advancements, large language models (LLMs) such as ChatGPT and Bard have shown the potential to disrupt many industries, from customer service to healthcare. Traditionally, humans interact with geospatial data through software (e.g., ArcGIS 1...
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Luca Braidotti, Jasna Prpic-Or?ic and Marko Valcic
Recently, the application of machine learning has been explored to assess the main damage consequences without employing flooding sensors. This method can be the base of a new generation of onboard decision support systems to help the master during the p...
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Qianfeng Jing, Helong Shen and Yong Yin
A ship?s body plan is a vital data resource of ship hydrodynamics analysis, especially for time-domain simulations. Motivated by 3D printing technology, a novel dense body plan generation method is developed in this study. The slicing algorithm is adopte...
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Bálint Silhavy, Lajos Erdos, Péter Mizsey, Katalin Koczka, Ágnes Szanyi, László Mika, Tamás Benko
Pág. 24 - 28
Computer aided process design is improving with newer and newer tools. One of such tools is the automatic calculation technique that enables the combination of different software tools to enhance the efficiency of the calculations. In our research work A...
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Jaehyun Shin and Dong Sop Rhee
As the frequency and intensity of natural and social disasters increase due to climate change, damage caused by disasters affects urban areas and facilities. Of those disasters, inundation occurs in urban areas due to rising water surface elevation becau...
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Soo-jin Jung and Eric Yee
Due to a heightened interest in the field of earthquakes after two moderately sized earthquakes occurred in Gyeongju and Pohang, this study explores which ground motion prediction equations are compatible for the South Korea region. Due to data availabil...
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Lucio Olivares, Emilia Damiano, Nadia Netti and Martina De Cristofaro
Air-fall pyroclastic deposits on steep slopes in Campania (Southern Italy) are periodically subjected to rainfall-induced landslides that may evolve into catastrophic flowslides. To protect built-up areas, early warning systems (EWSs) have been implement...
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Zhenwen He, Xianzhen Liu and Chunfeng Zhang
Three-dimensional voxel models are widely applied in various fields such as 3D imaging, industrial design, and medical imaging. The advancement of 3D modeling techniques and measurement devices has made the generation of three-dimensional models more con...
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Pavla ?mídová and Stanislav Machalík
European rail transport policy aims to create a single railway area. European Union (EU) issues, for this purpose, sets of regulations and directives. Individual countries are involved in its implementation according to their capabilities. The aim of thi...
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Nicholas F. Giannelis, Tamas Bykerk and Gareth A. Vio
This paper introduces a generic model for the study of aerodynamic behaviour relevant to fifth-generation high-performance aircraft. The model design is presented, outlining simplifications made to retain the key features of modern high-performance vehic...
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Liudmila Chizhikova
Pág. 10 - 18
Onboard control systems are complex cyber-physical systems with dynamic data flows between subsystems. As research shows, existing software-algorithmic approaches are inefficient - many anomalies and faults of onboard control complexes are system failure...
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Dmitry Soshnikov, Tatiana Petrova, Vickie Soshnikova and Andrey Grunin
Since the beginning of the COVID-19 pandemic almost two years ago, there have been more than 700,000 scientific papers published on the subject. An individual researcher cannot possibly get acquainted with such a huge text corpus and, therefore, some hel...
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Hossam Fraihat, Amneh A. Almbaideen, Abdullah Al-Odienat, Bassam Al-Naami, Roberto De Fazio and Paolo Visconti
Solar energy is one of the most important renewable energies, with many advantages over other sources. Many parameters affect the electricity generation from solar plants. This paper aims to study the influence of these parameters on predicting solar rad...
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Meftah Elsaraiti and Adel Merabet
Forecasting wind speed is one of the most important and challenging problems in the wind power prediction for electricity generation. Long short-term memory was used as a solution to short-term memory to address the problem of the disappearance or explos...
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Stefania Fontanella, Oreste Fecarotta, Bruno Molino, Luca Cozzolino and Renata Della Morte
In recent years, the interest towards the use of pumps operating as turbines (PATs) for the generation of electrical energy has increased, due to the low cost of implementation and maintenance. The main issue that inhibits a wider use of PATs is the lack...
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Yujiao Lei, Jiqiu Deng, Jian Lin, Jeffrey M. Dick, Mohammad Naser Lessani and Chaoyue Liu
Errors and inefficiency may be caused by manual processing of complex templates for the preparation and management of engineering survey reports. To address this problem, this paper analyzes the multidimensional variable features of professional field do...
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Marcia Beatriz Cavalcante,Antonio Hidalgo,Hélio Gomes de Carvalho,Gustavo Dambiski Gomes de Carvalho
Pág. 276 - 304
Objective of the study: This research aims to systematically review the frameworks (i.e. tools) proposed and applied by the literature on service innovation.Methodology / approach: The methodology is based on a systematic literature review, which include...
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Andrea G. Forte, Wei Wang, Luca Veltri and Gianluigi Ferrari
Over the years, the cellular mobile network has evolved from a wireless plain telephone system to a very complex system providing telephone service, Internet connectivity and many interworking capabilities with other networks. Its air interface performan...
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Punit Kumar Bhola, Jorge Leandro and Markus Disse
The paper presents a new methodology for hydrodynamic-based flood forecast that focuses on scenario generation and database queries to select appropriate flood inundation maps in real-time. In operational flood forecasting, only discharges are forecasted...
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Fabrizio De Caro, Alfredo Vaccaro and Domenico Villacci
The massive penetration of wind generators in electrical power systems asks for effective wind power forecasting tools, which should be high reliable, in order to mitigate the effects of the uncertain generation profiles, and fast enough to enhance power...
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