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Bahareh Motamed and Kamyar Shirvanimoghaddam
The coronavirus pandemic has brought unprecedented challenges and has changed society; some of these changes seem temporary, and others seem permanent. The uncertainty of the duration of this pandemic has introduced changes without the knowledge of how p...
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Dhananjay Thiruvady, Christian Blum and Andreas T. Ernst
Matheuristics have been gaining in popularity for solving combinatorial optimisation problems in recent years. This new class of hybrid method combines elements of both mathematical programming for intensification and metaheuristic searches for diversifi...
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Wanbing Huang, Wen Xiong and Xiaoxuan Wang
Trajectory similarity search (TSS) is a common operation for spatiotemporal data analysis. However, the existing TSS methods are mainly focused on GPS trajectories produced by moving objects such as vehicles. Further, these corresponding optimization str...
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Paola Gualeni, Giordano Flore, Matteo Maggioncalda and Giorgia Marsano
Ships are among the most complex systems in the world. The always increasing interest in environmental aspects, the evolution of technologies and the introduction of new rule constraints in the maritime field have compelled the innovation of the ship des...
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Edgard Bruno Cornacchione, Luciane Reginato, Joshua Onome Imoniana and Marcelo Souza
Linking decision systems, negotiating agents, management accounting, and computational accounting, this paper aims at exploring dynamic pricing strategies of a synthetic business-to-consumer online operation and a comparative analysis of evolving strateg...
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Dhanalakshmi Bettahalli Kengegowda, Srikantaiah Kamidoddi Chowdaiah, Gururaj Harinahalli Lokesh and Francesco Flammini
Cloud computing is concerned with effective resource utilization and cost optimization. In the existing system, the cost of resources is much higher. To overcome this problem, a new model called Classification and Merging Techniques for Reducing Brokerag...
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Salvatore Calcagno, Andrea Calvagna, Emiliano Tramontana and Gabriella Verga
The Electronic Health Record (EHR) is a system for collecting and storing patient medical records as data that can be mechanically accessed, hence facilitating and assisting the medical decision-making process. EHRs exist in several formats, and each for...
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Mohammed Suleiman Mohammed Rudwan and Jean Vincent Fonou-Dombeu
Ontology merging is an important task in ontology engineering to date. However, despite the efforts devoted to ontology merging, the incorporation of relevant features of ontologies such as axioms, individuals and annotations in the output ontologies rem...
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Yiran Li, Dong Zhao, Xueyi Ma, Jianzhong Zhang and Jian Zhao
In full-field 3D displacement measurement, stereo digital image correlation (Stereo-DIC) has strong capabilities. However, as a result of difficulties with stereo camera calibration and surface merging, 360-deg panoramic displacement measurements remain ...
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Andrea Scianna, Giuseppe Fulvio Gaglio and Marcello La Guardia
The diffusion of Building Information Modelling (BIM) as a reference methodology, applied to the world of construction, leads to important changes in the design and the management of big constructions and infrastructures. However, although the BIM approa...
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Lilia Lazli, Mounir Boukadoum and Otmane Ait Mohamed
Computer-aided diagnostic (CAD) systems use machine learning methods that provide a synergistic effect between the neuroradiologist and the computer, enabling an efficient and rapid diagnosis of the patient?s condition. As part of the early diagnosis of ...
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Hanwool Woo, Mizuki Sugimoto, Hirokazu Madokoro, Kazuhito Sato, Yusuke Tamura, Atsushi Yamashita and Hajime Asama
In this paper, we propose a novel method to estimate a goal of surround vehicles to perform a lane change at a merging section. Recently, autonomous driving and advance driver-assistance systems are attracting great attention as a solution to substitute ...
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Yaming Wang, Zhengheng Xu, Wenqing Huang, Yonghua Han and Mingfeng Jiang
Traditional approaches to modeling and processing discrete pixels are mainly based on image features or model optimization. These methods often result in excessive shrinkage or expansion of the restored pixel region, inhibiting accurate recovery of the t...
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Ibrahim Seck and Joël Van Baelen
Optimal Quantitative Precipitation Estimation (QPE) of rainfall is crucial to the accuracy of hydrological models, especially over urban catchments. Small-to-medium size towns are often equipped with sparse rain gauge networks that struggle to capture th...
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Kheir Al-Kodmany
This paper discusses the emerging need for vertical farms by examining issues related to food security, urban population growth, farmland shortages, ?food miles?, and associated greenhouse gas (GHG) emissions. Urban planners and agricultural leaders have...
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Federico Malucelli, Maddalena Nonato, Emanuele Tresoldi
Pág. 760 - 767
Pedibus, also known as the Walking School Bus, is a popular system in Western countries aimed at increasing the percentage of children walking to school, reducing vehicular congestion at school gates, and legitimating walking as a mobility mode. In its s...
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María Margarita Contreras Díaz,Brenda Jazmín Gallardo-Hernández,Mawency Vergel Ortega Cámara Colombiana de la Construcción, Universidad Francisco de Paula Santander. Colombia
Pág. 71 - 84
El artículo tiene como objetivo identificar percepciones de transeúntes en torno al espacio público urbano del mercado de la avenida Sexta en la zona de frontera de San José de Cúcuta, Colombia. La investigación sigue un enfoque mixto, cualitativo ...
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Peter Berg, Thomas Bosshard and Wei Yang
Lack of suitable observational data makes bias correction of high space and time resolution regional climate models (RCM) problematic. We present a method to construct pseudo-observational precipitation data by merging a large scale constrained RCM reana...
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