Results 31 to 40 of about 24,365,275 (295)

Tests of Normality of Functional Data

International Statistical Review, 2020
SummaryThe paper is concerned with testing normality in samples of curves and error curves estimated from functional regression models. We propose a general paradigm based on the application of multivariate normality tests to vectors of functional principal components scores. We examine finite sample performance of a number of such tests and select the
Tomasz Górecki, Lajos Horváth, Piotr Kokoszka   +2 more
openaire   +2 more sources

Elimination of Thermal Effects from Limited Structural Displacements Based on Remote Sensing by Machine Learning Techniques

Remote Sensing, 2023
Confounding variability caused by environmental and/or operational conditions is a big challenge in the structural health monitoring (SHM) of large-scale civil structures.
Bahareh Behkamal, Alireza Entezami, Carlo De Michele, Ali Nadir Arslan   +3 more
doaj   +1 more source

A spatio-temporal normalization method for geophysical data

, 2018
The objective of the study was to introduce a normalization algorithm which highlights short-term, localized, non-periodic fluctuations in hyper-temporal satellite data by dividing each pixel by the mean value of its spatial neighbourhood set.
Pavlidou, E. (Faculty of Geo-Information Science and Earth Observation (ITC) , University of Twente), Researcher
core   +1 more source

Data normalization.

, 2023
(A) Expression of GSE8397 across samples before data normalization process. (B). Expression of GSE8397 across samples after normalization of data.
Yanchi Fu (17583233), Tingting Yi (238503), Na Wang (193263), Kuo Tian (13148082), Huixue Zhang (614029), Jingyan Niu (17583230), Jianjian Wang (288375), Lihua Wang (14548), Qinghua Tian (614031), Lixia Chen (614030), Xuesong Sun (424554), Guanghao Xin (17583227)   +11 more
core   +1 more source

A Two-Step Data Normalization Approach for Improving Classification Accuracy in the Medical Diagnosis Domain

Mathematics, 2022
Data normalization is a data preprocessing task and one of the first to be performed during intellectual analysis, particularly in the case of tabular data.
Ivan Izonin, Roman Tkachenko, Nataliya Shakhovska, Bohdan Ilchyshyn, Krishna Kant Singh   +4 more
doaj   +1 more source

Adaptive Normalization in Streaming Data [PDF]

Proceedings of the 2019 3rd International Conference on Big Data Research, 2019
In todays digital era, data are everywhere from Internet of Things to health care or financial applications. This leads to potentially unbounded ever-growing Big data streams and it needs to be utilized effectively. Data normalization is an important preprocessing technique for data analytics.
Vibhuti Gupta, Rattikorn Hewett
openaire   +3 more sources

The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer

Sensors
Effectively capturing multi-scale object features is crucial for vision sensors used in road object detection tasks. Traditional spatial pyramid pooling methods fuse multi-scale feature information but lack adaptability in dynamically adjusting ...
Leilei Xie, Fenghua Zhu, Zhixue Wang
doaj   +1 more source

Comparison of Multi-Criteria Decision Making Methods Using The Same Data Standardization Method

Journal of Mechanical Engineering, 2022
The ranking results of the alternatives are heavily influenced by the decision making method, data normalization method, and calculation method for criterion weights. In this study, five multi-criteria decision-making methods were compared: MABAC, COCOSO,
Dung Hoang Tien, Do Duc Trung, Nguyen Van Thien   +2 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Data normalization in RAWEC method: Limitations and remedies [PDF]

Yugoslav Journal of Operations Research
Multi-Criteria Decision Making (MCDM) methods play a significant role in evaluating and comparing options based on various criteria, helping optimize decisions in complex situations.
Trung Do Duc, Truong Nguyen Xuan, Duc Duong Van, Bao Nguyen Chi   +3 more
doaj   +1 more source