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Syed As-Sadeq Tahfim and Yan Chen
Severe and fatal crashes involving large trucks result in significant social and economic losses for human society. Unfortunately, the notably low proportion of severe and fatal injury crashes involving large trucks creates an imbalance in crash data. Mo...
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Mario Pérez-Gomariz, Antonio López-Gómez and Fernando Cerdán-Cartagena
The refrigeration industry is an energy-intensive sector. Increasing the efficiency of industrial refrigeration systems is crucial for reducing production costs and minimizing CO2 emissions. Optimization of refrigeration systems is often a complex and ti...
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Gaia Gambarelli and Aldo Gangemi
The pervasiveness of dialogue systems and virtual conversation applications raises an important theme: the potential of sharing sensitive information, and the consequent need for protection. To guarantee the subject?s right to privacy, and avoid the leak...
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Juglar Diaz, Felipe Bravo-Marquez and Barbara Poblete
The popularity of mobile devices with GPS capabilities, along with the worldwide adoption of social media, have created a rich source of text data combined with spatio-temporal information. Text data collected from location-based social networks can be u...
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Johane H. Bracamonte, Sarah K. Saunders, John S. Wilson, Uyen T. Truong and Joao S. Soares
Inverse modeling approaches in cardiovascular medicine are a collection of methodologies that can provide non-invasive patient-specific estimations of tissue properties, mechanical loads, and other mechanics-based risk factors using medical imaging as in...
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Laura Sofía Hoyos-Gomez and Belizza Janet Ruiz-Mendoza
Solar irradiance is an available resource that could support electrification in regions that are low on socio-economic indices. Therefore, it is increasingly important to understand the behavior of solar irradiance. and data on solar irradiance. Some loc...
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Maya Hilda Lestari Louk and Bayu Adhi Tama
Classifier ensembles have been utilized in the industrial cybersecurity sector for many years. However, their efficacy and reliability for intrusion detection systems remain questionable in current research, owing to the particularly imbalanced data issu...
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Marcel Van Oijen, Gianni Bellocchi and Mats Höglind
There is increasing evidence that the impact of climate change on the productivity of grasslands will at least partly depend on their biodiversity. A high level of biodiversity may confer stability to grassland ecosystems against environmental change, bu...
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Erich J. Plate and Khurram M. Shahzad
This paper demonstrates, by means of a systematic uncertainty analysis, that the use of outputs from more than one model can significantly improve conditional forecasts of discharges or water stages, provided the models are structurally different. Discha...
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Yuhwan Kim, Chang-Ho Choi, Chang-Young Park and Seonghyun Park
In today?s society, where people spend over 90% of their time indoors, indoor air quality (IAQ) is crucial for sustaining human life. However, as various indoor activities such as cooking generate diverse types of pollutants in indoor spaces, IAQ has eme...
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Marcelo Chan Fu Wei, Ricardo Canal Filho, Tiago Rodrigues Tavares, José Paulo Molin and Afrânio Márcio Corrêa Vieira
To obtain a better performance when modeling soil spectral data for attribute prediction, researchers frequently resort to data pretreatment, aiming to reduce noise and highlight the spectral features. Even with the awareness of the existence of dimensio...
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Md. Monirul Islam, Md. Belal Hossain, Md. Nasim Akhtar, Mohammad Ali Moni and Khondokar Fida Hasan
Cracks in concrete cause initial structural damage to civil infrastructures such as buildings, bridges, and highways, which in turn causes further damage and is thus regarded as a serious safety concern. Early detection of it can assist in preventing fur...
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Chenchen Gu, Chunjiang Zhao, Wei Zou, Shuo Yang, Hanjie Dou and Changyuan Zhai
Orchard spraying can effectively control pests and diseases. Over-spraying commonly results in excessive pesticide residues on agricultural products and environmental pollution. To avoid these problems, variable spraying technology uses target canopy det...
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Mirka Mobilia, Marius Schmidt and Antonia Longobardi
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Delmar B. Davis, Jonathan Featherston, Hoa N. Vo, Munehiro Fukuda and Hazeline U. Asuncion
Agent-Based Models (ABMs) assist with studying emergent collective behavior of individual entities in social, biological, economic, network, and physical systems. Data provenance can support ABM by explaining individual agent behavior. However, there is ...
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Dilek Teker,Aynur Pala,Oya Kent
Pág. 122 - 132
The aim of this research is to compose a new rating methodology and provide credit notches to 23 countries which of 13 are developed and 10 are emerging. There are various literature that explains the determinants of credit ratings. Following the literat...
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F. Necati Catbas, Jacob Anthony Cano, Furkan Luleci, Lori C. Walters and Robert Michlowitz
This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds...
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Aliaksandr Kurachkin
Pág. 49 - 53
The paper proposes a unified declarative approach to developing and integrating medical information systems. Two main usage scenarios for data access are considered ? retrieving patient-based medical history for complex diagnostic scenarios, and retrievi...
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Luca Scrucca
Imbalanced data present a pervasive challenge in many real-world applications of statistical and machine learning, where the instances of one class significantly outnumber those of the other. This paper examines the impact of class imbalance on the perfo...
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Guang Chen, Yue Deng, Apurbo Sarkar and Zhengbing Wang
The progress of environment-friendly technology is an important means and fundamental way to achieve high-quality agricultural development. Based on the panel data of 30 provinces of China from 2000 to 2010, the study used the slack-based models (SBM) to...
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