Suchergebnisse - "Data missing"

Pengaruh Teknik Preprocessing terhadap Kinerja Model Explainable Boosting Machine (EBM) untuk Prediksi Serangan Jantung

Autoren: Setiawan, Moch. Andri Efendi, Moh. Hasan Akbar, Muhammad Farizal et al.

Quelle: Nusantara of Engineering (NOE); Vol. 8 No. 02 (2025): Volume 8 Nomor 2-2025; 317-326
Nusantara of Engineering (NOE); Vol 8 No 02 (2025): Volume 8 Nomor 2-2025; 317-326

Schlagwörter: Explainable Boosting Machine, ketidakseimbangan data, missing value, preprocessing, SMOTE-ENN

Dateibeschreibung: application/pdf

Zugangs-URL: https://ojs.unpkediri.ac.id/index.php/noe/article/view/25811

Spatiotemporal dependency data imputation for long-term health monitoring of concrete arch bridges

Autoren: Zhu Longji Yang Zhi Li Jiaqing et al.

Quelle: Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025)

Schlagwörter: Structural health monitoring, CCF-BiGRU, Data missing, Data imputation model, Medicine, Science

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2045-2322

Zugangs-URL: https://doaj.org/article/3b0c1e6c863b4fe3ac8046210602b558

A novel test of missing completely at random: U -statistics-based approach

Autoren: Aleksić, Danijel

Quelle: Taylor & Francis

Schlagwörter: FOS: Mathematics, Mathematics - Statistics Theory, Statistics Theory (math.ST), Missing data, missing completely at random, novel test, covariance, asymptoticdistribution, power

Zugangs-URL: http://arxiv.org/abs/2310.19189
https://rfos.fon.bg.ac.rs/handle/123456789/2768

Deformable cylinder extraction from LiDAR point cloud using candidate selection

Autoren: Meng Du Di Cao Cheng Wang et al.

Quelle: International Journal of Digital Earth, Vol 18, Iss 1 (2025)

Schlagwörter: data missing, Mathematical geography. Cartography, deformable cylinder extraction, Candidate selection, GA1-1776, point cloud

Zugangs-URL: https://doaj.org/article/d5c3c02df57c4ba3ab32b68b341794e3

Cross-modal missing time-series imputation using dense spatio-temporal transformer nets

Autoren: Xusheng Qian Teng Zhang Meng Miao et al.

Quelle: Mathematical Biosciences and Engineering, Vol 21, Iss 4, Pp 4989-5006 (2024)

Schlagwörter: time-series data imputation, time-series data missing, 0502 economics and business, 05 social sciences, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, dense spatio-temporal transformer nets, 02 engineering and technology, cross-modal data fusion, complete data missing, TP248.13-248.65, Mathematics, Biotechnology

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/38872523
https://doaj.org/article/d4bd62fec1864f429ea1498affcca648

Completion of Partially Observed Multivariate Functional Data

Autoren: Marco Borriero Luigi Augugliaro Salvatore Latora et al.

Quelle: Italian Statistical Society Series on Advances in Statistics ISBN: 9783031644306

Schlagwörter: Multivariate functional data, Missing data, Partial separability

Dateibeschreibung: application/pdf

Research on the generation method of missing data for soft measurement based on GAN

Autoren: JIANG Dongnian WANG Renjie

Quelle: Xibei Gongye Daxue Xuebao, Vol 42, Iss 2, Pp 344-352 (2024)

Schlagwörter: data missing, soft sensor model, isolated forest, 0202 electrical engineering, electronic engineering, information engineering, TL1-4050, 02 engineering and technology, gan, Motor vehicles. Aeronautics. Astronautics

Zugangs-URL: https://doaj.org/article/c18e06c9752742b49649d24ad3db69ef

Research on Fault Diagnosis Method for Autonomous Underwater Vehicles Based on Improved LSTM Under Data Missing Conditions

Autoren: Lingyan Dong Yan Huo

Quelle: Applied Sciences, Vol 15, Iss 21, p 11570 (2025)

Schlagwörter: AUV, fault diagnosis, LSTM, BiLSTM-Attention-MiniLoss, data missing, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2076-3417/15/21/11570; https://doaj.org/toc/2076-3417

Zugangs-URL: https://doaj.org/article/1fc41dd7f2c845d39f85745ad52ba63c

A State Monitoring Algorithm for Data Missing Scenarios via Convolutional Neural Network and Random Forest

Autoren: Yuntao Xu Kai Sun Ying Zhang et al.

Quelle: IEEE Access, Vol 12, Pp 137080-137088 (2024)

Schlagwörter: data missing, State monitoring, deep learning, convolutional neural network, Electrical engineering. Electronics. Nuclear engineering, random forest, TK1-9971

Zugangs-URL: https://doaj.org/article/d6ee5aa946314e7fb481b5bcc5b671ce

Transient Stability Assessment of Graph Attention Networks Considering Data Missing

Autoren: Shengcun ZHOU Yi LUO Xuancheng YI et al.

Quelle: Zhongguo dianli, Vol 57, Iss 5, Pp 157-167 (2024)

Schlagwörter: transient stability assessment, data missing, graph attention network, mask matrix, pmu fault, Electricity, QC501-721, Production of electric energy or power. Powerplants. Central stations, TK1001-1841

Dateibeschreibung: electronic resource

Relation: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202307019; https://doaj.org/toc/1004-9649

Zugangs-URL: https://doaj.org/article/22e323bbd65644f6b338f51dd53b9831

Reconstruction of Petermann glacier velocity time series using multi-source remote sensing images

Autoren: Zongze Li Jinsong Chong Yawei Zhao et al.

Quelle: International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104307- (2024)

Schlagwörter: Glacier velocity, Data missing, Multi-source remote sensing, Time series, Physical geography, GB3-5030, Environmental sciences, GE1-350

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S1569843224006654; https://doaj.org/toc/1569-8432

Zugangs-URL: https://doaj.org/article/06caa264d8634d15b397c8ddcc7f2b43

Load data recovery method based on SOM-LSTM neural network

Autoren: Yiming Ma Junyou Yang Jiawei Feng et al.

Quelle: Energy Reports, Vol 8, Iss, Pp 129-136 (2022)

Schlagwörter: 0202 electrical engineering, electronic engineering, information engineering, SOM neural network, Data missing, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, Power system, LSTM neural network, TK1-9971

Zugangs-URL: https://doaj.org/article/141c36bd4c034a11bfb0fc0ec12f8f19
https://www.sciencedirect.com/science/article/pii/S2352484721012154

Satellite Clear‐Sky Observations Overestimate Surface Urban Heat Islands in Humid Cities

Autoren: Qiquan Yang Yi Xu Dawei Wen et al.

Quelle: Geophysical Research Letters, Vol 51, Iss 2, Pp n/a-n/a (2024)

Schlagwörter: data missing, QC801-809, 13. Climate action, UHI effect, Geophysics. Cosmic physics, 11. Sustainability, 0401 agriculture, forestry, and fisheries, 04 agricultural and veterinary sciences, uncertainty, global, 01 natural sciences, all‐weather, 0105 earth and related environmental sciences

Zugangs-URL: https://doaj.org/article/4d2c49f4927244afbd220310cbe7aa0f

STRATEGIC BINARY CHOICE MODELS WITH PARTIAL OBSERVABILITY

Autoren: Nieman, Mark David

Quelle: Statistica Sinica, 2018 Jan 01. 28(4), 2089-2105.

Zugangs-URL: https://www.jstor.org/stable/26511202

High-Speed Target HRRP Reconstruction Based on Fast Mean-Field Sparse Bayesian Unrolled Network

Autoren: Hang Dong Fengzhou Dai Juan Zhang

Quelle: Remote Sensing, Vol 17, Iss 1, p 8 (2024)

Schlagwörter: high-resolution range profile (HRRP) reconstruction, velocity estimation, intrapulse data missing, compressed sensing, deep unfolding network, sparse Bayesian learning (SBL), Science

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/2072-4292/17/1/8; https://doaj.org/toc/2072-4292

Zugangs-URL: https://doaj.org/article/5617dd11e1434e19be0071d862e7b4ff

A New Strategy: Remaining Useful Life Prediction of Wind Power Bearings Based on Deep Learning under Data Missing Conditions

Autoren: Xuejun Li Xu Lei Lingli Jiang et al.

Quelle: Mathematics, Vol 12, Iss 13, p 2119 (2024)

Schlagwörter: wind power bearing, remaining useful life prediction, data missing, average similarity, Mathematics, QA1-939

Relation: https://www.mdpi.com/2227-7390/12/13/2119; https://doaj.org/toc/2227-7390; https://doaj.org/article/759b66e4b8a34e43bb1bef69763ec09a

Verfügbarkeit: https://doi.org/10.3390/math12132119
https://doaj.org/article/759b66e4b8a34e43bb1bef69763ec09a

Prediction of longwall mining‐induced stress in roof rock using LSTM neural network and transfer learning method

Autoren: Changkun Qin Wusheng Zhao Kun Zhong et al.

Quelle: Energy Science & Engineering, Vol 10, Iss 2, Pp 458-471 (2022)

Schlagwörter: data missing, monitoring, stress prediction, Technology, Science, 0211 other engineering and technologies, mining‐induced stress, 02 engineering and technology, transfer learning, LSTM

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/ese3.1037
https://doaj.org/article/d81ac7cd0e494542a11ee11d4ff6537e

Robust and Scalable Inference for Stochastic Processes

Autoren: R. Molinari Guerrier Maria-Pia Victoria Feser et al.

Schlagwörter: Wavelet Variance, Generalized Method of Wavelet Moments, Time Series, Spatial Data, Missing and Irregular Data, Outliers

Zugangs-URL: https://hdl.handle.net/11585/960475

Countermeasures for current differential protection in 5G-based active distribution network under sampling data missing scenario

Autoren: TU Qi SHEN Bing ZOU Xiaofeng et al.

Quelle: 电力工程技术, Vol 41, Iss 3, Pp 143-151 (2022)

Schlagwörter: 5g, active distribution network, differential protection, sampling data missing, neville interpolation, order combination, Applications of electric power, TK4001-4102

Dateibeschreibung: electronic resource

Relation: https://www.epet-info.com/dlgcjs/article/pdf/210330338; https://doaj.org/toc/2096-3203

Zugangs-URL: https://doaj.org/article/3fb3b8212cfa4336a288e8ad87388223

SAR high‐resolution imaging from missing raw data using StOMP

Autoren: Yulei Qian Daiyin Zhu Xiang Yu

Quelle: The Journal of Engineering (2019)

Schlagwörter: reference function, traditional sar imaging algorithms, point targeta simulations, azimuth missing sar raw data, time domain, sar raw data missing, area target simulations, size 0.3 m, 02 engineering and technology, Engineering (General). Civil engineering (General), time-frequency analysis, recovered raw data, matched raw data, radar imaging, data missing rate, stage-wise orthogonal matching pursuit, stomp algorithm, 0202 electrical engineering, electronic engineering, information engineering, iterative methods, two-dimensional frequency domain, TA1-2040, sar high-resolution imaging, synthetic aperture radar, image resolution

Zugangs-URL: https://onlinelibrary.wiley.com/doi/pdfdirect/10.1049/joe.2019.0627
https://doaj.org/article/3af3897f8ebf41b7829659b6f038047d
https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0627