Zobrazeno 1 - 10
of 3 219
pro vyhledávání: '"Data imputation"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Missing pixel imputation presents a critical challenge in image processing and computer vision, particularly in applications such as image restoration and inpainting. The primary objective of this paper is to accurately estimate and reconstr
Externí odkaz:
https://doaj.org/article/cd0913b851ac4389a455eda976d84347
Publikováno v:
Autonomous Intelligent Systems, Vol 4, Iss 1, Pp 1-14 (2024)
Abstract Metal powder contributes to the environmental burdens of additive manufacturing (AM) substantially. Current life cycle assessments (LCAs) of metal powders present considerable variations of lifecycle environmental inventory due to process di
Externí odkaz:
https://doaj.org/article/b050bbf9d3034724bc38facad9dc15cc
Autor:
G.V.Vidya Lakshmi, S. Gopikrishnan
Publikováno v:
Journal of Universal Computer Science, Vol 30, Iss 6, Pp 814-846 (2024)
Data in the Internet of Things (IoT) domain may be missing due to connectivity errors, environmental extremes, sensor malfunctions, and human errors. Despite the many approaches for imputing missing values, the most significant difficulty in terms of
Externí odkaz:
https://doaj.org/article/ca30c280c7d04c1db99ffd1bd2750a2f
Autor:
Yuto Takemoto, Daisuke Ito, Shota Komori, Yoshiyuki Kishimoto, Shinichiro Yamada, Atsushi Hashizume, Masahisa Katsuno, Masahiro Nakatochi
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Extracellular vesicle-derived (EV)-miRNAs have potential to serve as biomarkers for the diagnosis of various diseases. miRNA microarrays are widely used to quantify circulating EV-miRNA levels, and the preprocessing of miRNA micro
Externí odkaz:
https://doaj.org/article/d23c6225528b429e92597042ae822c57
Autor:
Malarvizhi Nandagopal, Koteeswaran Seerangan, Tamilmani Govindaraju, Neeba Eralil Abi, Balamurugan Balusamy, Shitharth Selvarajan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-25 (2024)
Abstract In modern healthcare, integrating Artificial Intelligence (AI) and Internet of Medical Things (IoMT) is highly beneficial and has made it possible to effectively control disease using networks of interconnected sensors worn by individuals. T
Externí odkaz:
https://doaj.org/article/0ff5a054121a40f8962b12c8a85e66b0
Publikováno v:
PeerJ Computer Science, Vol 10, p e2408 (2024)
Traffic data imputation is crucial for the reliability and efficiency of intelligent transportation systems (ITSs), forming the foundation for downstream tasks like traffic prediction and management. However, existing deep learning-based imputation m
Externí odkaz:
https://doaj.org/article/1cc3456854b045f292ec2813bedd2fa4
Autor:
Kaiyi Wang, Yanyun Han, Yuqing Zhang, Yong Zhang, Shufeng Wang, Feng Yang, Chunqing Liu, Dongfeng Zhang, Tiangang Lu, Like Zhang, Zhongqiang Liu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
The timely and accurate prediction of maize (Zea mays L.) yields prior to harvest is critical for food security and agricultural policy development. Currently, many researchers are using machine learning and deep learning to predict maize yields in s
Externí odkaz:
https://doaj.org/article/ac4cc53bd0c6406a8d487fa041c53e5c
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Over the past decade, the prevalence of inflammatory bowel disease (IBD) has significantly increased, making early detection crucial for improving patient survival rates. Medical research suggests that changes in the human gut microbiome are closely
Externí odkaz:
https://doaj.org/article/67c23d9c780740199e2a3805836154e8
Autor:
Firdaus Firdaus, Siti Nurmaini, Bambang Tutuko, Muhammad Naufal Rachmatullah, Anggun Islami, Annisa Darmawahyuni, Ade Iriani Sapitri, Widya Rohadatul Ais'sy, Muhammad Irfan Karim, Muhammad Fachrurrozi, Ahmad Zarkasi
Publikováno v:
Franklin Open, Vol 8, Iss , Pp 100151- (2024)
Patients in intensive care unit (ICU) often have multiple vital signs monitored continuously. However, missing data is common in ICU settings, negatively impacting clinical decision-making and patient outcomes. In this study propose a multivariate da
Externí odkaz:
https://doaj.org/article/02009b16a27b40cd85737c0b3536aac6
Autor:
Michel Trarbach Bleidorn, Isamara Maria Schmidt, José Antonio Tosta dos Reis, Deysilara Figueira Pani, Wanderson de Paula Pinto, Carlo Corrêa Solci, Antonio Sergio Ferreira Mendonça, Gutemberg Hespanha Brasil
Publikováno v:
Revista Brasileira de Recursos Hídricos, Vol 29 (2024)
ABSTRACT Accuracy in river flows forecasts is crucial for Hydrology, but is challenged by fluviometric data quality. This study investigates the impact of different missing data imputation methods on the Seasonal Autoregressive Integrated Moving Aver
Externí odkaz:
https://doaj.org/article/48e7048e82434b61961b788ea761b306