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Hao-Yi Yang, Zhi-Rong Lin and Ko-Chih Wang
The use of distribution-based data representation to handle large-scale scientific datasets is a promising approach. Distribution-based approaches often transform a scientific dataset into many distributions, each of which is calculated from a small numb...
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Miguel R. Luaces, Jesús A. Fisteus, Luis Sánchez-Fernández, Mario Munoz-Organero, Jesús Balado, Lucía Díaz-Vilariño and Henrique Lorenzo
Providing citizens with the ability to move around in an accessible way is a requirement for all cities today. However, modeling city infrastructures so that accessible routes can be computed is a challenge because it involves collecting information from...
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Kwangseob Kim and Kiwon Lee
This study introduces a multi-cloud model that combines private and public cloud services for processing and managing satellite images. The multi-cloud service is established by incorporating private clouds within organizations and integrating them with ...
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Kang Zhao, Baoxuan Jin, Hong Fan, Weiwei Song, Sunyu Zhou and Yuanyi Jiang
Overlay analysis is a common task in geographic computing that is widely used in geographic information systems, computer graphics, and computer science. With the breakthroughs in Earth observation technologies, particularly the emergence of high-resolut...
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Ayoub Soulaimani, Saïd Chakiri, Saâd Soulaimani, Zohra Bejjaji, Abdelhalim Miftah and Ahmed Manar
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Marcus Walldén, Masao Okita, Fumihiko Ino, Dimitris Drikakis and Ioannis Kokkinakis
Increasing processing capabilities and input/output constraints of supercomputers have increased the use of co-processing approaches, i.e., visualizing and analyzing data sets of simulations on the fly. We present a method that evaluates the importance o...
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Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia and Paolo Trunfio
Workflows are largely used to orchestrate complex sets of operations required to handle and process huge amounts of data. Parallel processing is often vital to reduce execution time when complex data-intensive workflows must be run efficiently, and at th...
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Calimanut-Ionut Cira, Martin Kada, Miguel-Ángel Manso-Callejo, Ramón Alcarria and Borja Bordel Sanchez
The road surface area extraction task is generally carried out via semantic segmentation over remotely-sensed imagery. However, this supervised learning task is often costly as it requires remote sensing images labelled at the pixel level, and the result...
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Bo Wan, Lin Yang, Shunping Zhou, Run Wang, Dezhi Wang and Wenjie Zhen
The road-network matching method is an effective tool for map integration, fusion, and update. Due to the complexity of road networks in the real world, matching methods often contain a series of complicated processes to identify homonymous roads and dea...
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Dthenifer Cordeiro Santana, Gustavo de Faria Theodoro, Ricardo Gava, João Lucas Gouveia de Oliveira, Larissa Pereira Ribeiro Teodoro, Izabela Cristina de Oliveira, Fábio Henrique Rojo Baio, Carlos Antonio da Silva Junior, Job Teixeira de Oliveira and Paulo Eduardo Teodoro
Using multispectral sensors attached to unmanned aerial vehicles (UAVs) can assist in the collection of morphological and physiological information from several crops. This approach, also known as high-throughput phenotyping, combined with data processin...
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Zhao Zhang, Feng Feng and Tingting Huang
The size of datasets is growing exponentially as information technology advances, and it is becoming more and more crucial to provide efficient learning algorithms for neural networks to handle massive amounts of data. Due to their potential for handling...
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Thuong-Cang Phan, Anh-Cang Phan, Hung-Phi Cao and Thanh-Ngoan Trieu
In the era of digital media, the rapidly increasing volume and complexity of multimedia data cause many problems in storing, processing, and querying information in a reasonable time. Feature extraction and processing time play an extremely important rol...
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Babangida Isyaku, Mohd Soperi Mohd Zahid, Maznah Bte Kamat, Kamalrulnizam Abu Bakar and Fuad A. Ghaleb
Software defined networking (SDN) is an emerging network paradigm that decouples the control plane from the data plane. The data plane is composed of forwarding elements called switches and the control plane is composed of controllers. SDN is gaining pop...
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Xiaoyue Yang, Yi Yang, Shenghua Xu, Jiakuan Han, Zhengyuan Chai and Gang Yang
Geographically weighted regression (GWR) is a classical method for estimating nonstationary relationships. Notwithstanding the great potential of the model for processing geographic data, its large-scale application still faces the challenge of high comp...
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Antonio Minervino Amodio, Gianluigi Di Paola and Carmen Maria Rosskopf
The use of Unmanned Aerial Vehicles (UAVs) represents a rather innovative, quick, and low-cost methodological approach offering applications in several fields of investigation. The present study illustrates the developed method using Digital Elevation Mo...
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Addi Ait-Mlouk, Sadi A. Alawadi, Salman Toor and Andreas Hellander
Machine reading comprehension (MRC) of text data is a challenging task in Natural Language Processing (NLP), with a lot of ongoing research fueled by the release of the Stanford Question Answering Dataset (SQuAD) and Conversational Question Answering (Co...
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Yixin Huang, Xiaojia Xiang, Han Zhou, Dengqing Tang and Yihao Sun
In order to solve the problem of how to efficiently control a large-scale swarm Unmanned Aerial Vehicle (UAV) system, which performs complex tasks with limited manpower in a non-ideal environment, this paper proposes a parallel UAV swarm control method. ...
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Franti?ek Chudý, Martina Slámová, Julián Toma?tík, Roberta Proke?ová and Martin Mokro?
An active gully-related landslide system is located in a deep valley under forest canopy cover. Generally, point clouds from forested areas have a lack of data connectivity, and optical parameters of scanning cameras lead to different densities of point ...
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James Kress,Randy Michael Churchill,Scott Klasky,Mark Kim,Hank Childs,David Pugmire
Pág. 49 - 65
High performance computing applications are producing increasingly large amounts of data and placing enormous stress on current capabilities for traditional post-hoc visualization techniques. Because of the growing compute and I/O imbalanc...
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Nan Jia, Bin Li, Jun Zhu, Haifeng Wang, Yuliang Zhao and Wenwen Zhao
The identification of chicken sex before hatching is an important problem in large-scale breeding applications in the poultry industry. This paper systematically reviews the key techniques for in ovo sexing of chicken eggs before hatching and presents re...
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