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Ali Paydar, Yaser Khademi Fahraji, Abbas Tajaddini, Zahra Sabzi
Pág. 382 - 406
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Larisa Nazarova, Liudmila Syrykh, Ivan Grekov, Tatiana Sapelko, Andrey B. Krasheninnikov and Nadia Solovieva
Northwestern Russia remains the only region in Northern Eurasia where no regional chironomid-based inference model for quantitative palaeoclimatic reconstructions has been developed. Using palaeolimnological methods, we investigated the subfossil chirono...
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Oscar D. Hurtado, Albert R. Ortiz, Daniel Gomez and Rodrigo Astroza
Simplifications and theoretical assumptions are usually incorporated into the numerical modeling of structures. However, these assumptions may reduce the accuracy of the simulation results. This problem has led to the development of model-updating techni...
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Hao Wang, Jinan Zhu and Bao Gu
In the modern world, the extremely rapid growth of traffic demand has become a major problem for urban traffic development. Continuous optimization of signal control systems is an important way to relieve traffic pressure in cities. In recent years, with...
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Jinnan Wang, Weiqin Tong and Xiaoli Zhi
Convolutional neural networks (CNNs) have made impressive achievements in image classification and object detection. For hardware with limited resources, it is not easy to achieve CNN inference with a large number of parameters without external storage. ...
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Eva Romano-Moreno, Antonio Tomás, Gabriel Diaz-Hernandez, Javier L. Lara, Rafael Molina and Javier García-Valdecasas
The good performance of the port activities in terminals is mainly conditioned by the dynamic response of the moored ship system at a berth. An adequate definition of the highly multivariate processes involved in the response of a moored ship at a berth ...
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Nicholas James, Lee-Yeng Ong and Meng-Chew Leow
Raspberry Pi (Pi) is a versatile general-purpose embedded computing device that can be used for both machine learning (ML) and deep learning (DL) inference applications such as face detection. This study trials the use of a Pi Spark cluster for distribut...
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Ying Zhou, Xiaokang Hu and Vera Chung
Paraphrase detection and generation are important natural language processing (NLP) tasks. Yet the term paraphrase is broad enough to include many fine-grained relations. This leads to different tolerance levels of semantic divergence in the positive par...
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Pekka Pääkkönen, Daniel Pakkala, Jussi Kiljander and Roope Sarala
The current approaches for energy consumption optimisation in buildings are mainly reactive or focus on scheduling of daily/weekly operation modes in heating. Machine Learning (ML)-based advanced control methods have been demonstrated to improve energy e...
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Edilson Marcelino Silva, Thais Destefani Ribeiro Furtado, Ariana Campos Frühauf, Joel Augusto Muniz, Tales Jesus Fernandes (Author)
Pág. e46893
Zinc uptake is essential for crop development; thus, knowledge about soil zinc availability is fundamental for fertilization in periods of higher crop demand. A nonlinear first-order kinetic model has been employed to evaluate zinc availability. Studies ...
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Edilson Marcelino Silva, Thais Destefani Ribeiro Furtado, Ariana Campos Frühauf, Joel Augusto Muniz, Tales Jesus Fernandes
Pág. e46893
Zinc uptake is essential for crop development; thus, knowledge about soil zinc availability is fundamental for fertilization in periods of higher crop demand. A nonlinear first-order kinetic model has been employed to evaluate zinc availability. Studies ...
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Jordi Mas-Soler, Antonio Souto-Iglesias and Alexandre N. Simos
An innovative Bayesian motion-based wave inference method is derived and assessed in this work. The evaluation of the accuracy of the proposed prior distribution has been carried out using the results obtained during a dedicated experimental campaign wit...
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Amir Karbassi Yazdi, Thomas Hanne, Yong J. Wang and Hui-Ming Wee
One of the most important functions of an export credit agency (ECA) is to act as an intermediary between national governments and exporters. These organizations provide financing to reduce the political and commercial risks in international trade. The a...
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Quanhui Wang, En Fan and Pengfei Li
Incorporating obstacle information into maneuvering target-tracking algorithms may lead to a better performance when the target when the target maneuver is caused by avoiding collision with obstacles. In this paper, we propose a fuzzy-logic-based method ...
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Mahtab Alam
In software industry, the high cost of maintenance of large-scale software put emphasis on the need to manage the maintainability in earlier phases of software system. This paper considers the assessing of the maintenance problem of a software system tha...
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Shan Zhao, Guohe Huang, Guanhui Cheng, Wei Sun, Qian Su, Zeyu Tao, Shuguang Wang
Pág. 1 - 15
A stepwise-cluster inference (SI) model was established through introducing stepwise-cluster analysis (SCA) into the phenanthrene immobilization process at the aqueous/modified palygorskite interface. SCA has the advantages of tackling the nonlinear rela...
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Shan Zhao, Guohe Huang, Guanhui Cheng, Wei Sun, Qian Su, Zeyu Tao and Shuguang Wang
A stepwise-cluster inference (SI) model was established through introducing stepwise-cluster analysis (SCA) into the phenanthrene immobilization process at the aqueous/modified palygorskite interface. SCA has the advantages of tackling the nonlinear rela...
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N. Ross Chapman
This paper focuses on acoustic reflectivity of the ocean bottom, and describes inversion of reflection data from an experiment designed to study the physical properties and structure of the ocean bottom. The formalism of Bayesian inference is reviewed br...
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Igor Kotenko, Olga Polubelova, Andrey Chechulin and Igor Saenko
The technology of Security Information and Event Management (SIEM) becomes one of the most important research applications in the area of computer network security. The overall functionality of SIEM systems depends largely on the quality of solutions imp...
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Cleber Giugioli Carrasco, Francisco Louzada-Neto (Author)
Pág. 1519 - 1522
The Poly-log-logistic model arises in competing risk scenarios when risks have an independent log-logistic distribution and the cause of failure or death of individual remains unknown, especially if the hazard function is multimodal. The bootstrap techni...
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