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Bowen Yang, Zunhao Liu, Zhi Cai, Dongze Li, Xing Su, Limin Guo and Zhiming Ding
In order to improve the effect of path planning in emergencies, the missing position imputation and velocity restoration in vehicle trajectory provide data support for emergency path planning and analysis. At present, there are many methods to fill in th...
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Nicola Moretti, Xiang Xie, Jorge Merino, Justas Brazauskas and Ajith Kumar Parlikad
The proposed methodology has been developed to support the Asset Management (AM) decision making according to an open Building Information Modelling (openBIM) approach. Within the context of the West Cambridge Digital Twin Research Facility, a real case ...
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Andrea Ruggieri, Francesco Stranieri, Fabio Stella and Marco Scutari
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete da...
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David Fernández-Baca and Lei Liu
We study two problems in computational phylogenetics. The first is tree compatibility. The input is a collection ??
P
of phylogenetic trees over different partially-overlapping sets of species. The goal is to find a single phylogenetic tree that display...
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Milad Salem, Shayan Taheri and Jiann-Shiun Yuan
The SECOM dataset contains information about a semiconductor production line, entailing the products that failed the in-house test line and their attributes. This dataset, similar to most semiconductor manufacturing data, contains missing values, imbalan...
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Milad Salem, Shayan Taheri and Jiann-Shiun Yuan
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Jérémy Roos, Gérald Gavin, Stéphane Bonnevay
Pág. 53 - 61
We propose an approach to forecast the short-term passenger flows of the urban rail network of Paris. Based on dynamic Bayesian networks, this approach is designed to perform even in case of incomplete data. The structure of the model is built so that th...
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Mansoureh Sadrykia, Mahmoud Reza Delavar and Mehdi Zare
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Jiarong Shi, Xiuyun Zheng and Wei Yang
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Wen Cao, Wenhao Liu, Xiaochong Tong, Jianfei Wang, Feilin Peng, Yuzhen Tian and Jingwen Zhu
To understand the complex phenomena in social space and monitor the dynamic changes in people?s tracks, we need more cross-scale data. However, when we retrieve data, we often ignore the impact of multi-scale, resulting in incomplete results. To solve th...
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Cesar Federico Caiafa, Jordi Solé-Casals, Pere Marti-Puig, Sun Zhe and Toshihisa Tanaka
In many machine learning applications, measurements are sometimes incomplete or noisy resulting in missing features. In other cases, and for different reasons, the datasets are originally small, and therefore, more data samples are required to derive use...
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Darman Saputra
Pág. 24 - 30
The Least Square Dummy Variable (LSDV) method can be used to estimate parameters in the panel data regression model incomplete one-way fixed effect. To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and mode...
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Cédric Mpié Simba, Emmanuel Lemelin, Eric Masson, Ahmed Senouci and Walid Maherzi
In the absence of industry data, organisms, and researchers leverage free and available data, specifically building and demolition permits. Geospatial processing is essential to integrate information from various files into a single GIS layer containing ...
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Xiaoting Xu, Tin Lai, Sayka Jahan, Farnaz Farid and Abubakar Bello
The increasing prevalence of marine pollution during the past few decades motivated recent research to help ease the situation. Typical water quality assessment requires continuous monitoring of water and sediments at remote locations with labour-intensi...
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Benjamin Agbo, Hussain Al-Aqrabi, Richard Hill and Tariq Alsboui
The Internet of Things (IoT) has had a tremendous impact on the evolution and adoption of information and communication technology. In the modern world, data are generated by individuals and collected automatically by physical objects that are fitted wit...
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Michael Ahlheim, Oliver Frör, Jing Luo, Sonna Pelz and Tong Jiang
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Michael Ahlheim, Oliver Frör, Jing Luo, Sonna Pelz and Tong Jiang
In this paper we deal with the problem of missing data in environmental cost-benefit analysis. If government pursues the goal of maximizing social welfare, this implies that public funds should be allocated to those uses where they generate the highest n...
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Rachid Addou, Mohamed Hanchane, Khalid Obda, Nir Y. Krakauer, Bouchta El Khazzan, Ridouane Kessabi and Hassan Achiban
The lack of a complete and reliable data series often represents the main difficulty in carrying out climate studies. Diverse causes, such as human and instrumental errors, false and incomplete records, and the use of obsolete equipment in some meteorolo...
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Julia Mayer, Martin Memmel, Johannes Ruf, Dhruv Patel, Lena Hoff and Sascha Henninger
Urban tree cadastres, crucial for climate adaptation and urban planning, face challenges in maintaining accuracy and completeness. A transdisciplinary approach in Kaiserslautern, Germany, complements existing incomplete tree data with additional precise ...
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Johannes Rude Jensen,Henrik Axelsen,Omri Ross
Pág. 92 - 103
Today, local financial institutions are responsible for submitting compliance reporting data to the supervisory authorities. This is commonly referred to as the ?push model?. The increasing complexity of reporting obligations often results in delayed rep...
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