Results 31 to 40 of about 3,902,266 (287)

Surface Defect Detection Methods for Industrial Products: A Review

Applied Sciences, 2021
The comprehensive intelligent development of the manufacturing industry puts forward new requirements for the quality inspection of industrial products.
Yajun Chen, Yuanyuan Ding, Fan Zhao, Erhu Zhang, Zhangnan Wu, Linhao Shao   +5 more
doaj   +1 more source

Regularized parametric system identification: a decision-theoretic formulation

, 2017
Parametric prediction error methods constitute a classical approach to the identification of linear dynamic systems with excellent large-sample properties.
berger, chernoff, ljung, murphy, pillonetto, rasmussen, robert, söderström   +7 more
core   +1 more source

Parametric estimation of P(X > Y) for normal distributions in the context of probabilistic environmental risk assessment [PDF]

PeerJ, 2015
Estimating the risk, P(X > Y), in probabilistic environmental risk assessment of nanoparticles is a problem when confronted by potentially small risks and small sample sizes of the exposure concentration X and/or the effect concentration Y.
Rianne Jacobs, Andriëtte A. Bekker, Hilko van der Voet, Cajo J.F. ter Braak   +3 more
doaj   +2 more sources

Linear discriminant analysis for the small sample size problem: an overview [PDF]

, 2014
Dimensionality reduction is an important aspect in the pattern classification literature, and linear discriminant analysis (LDA) is one of the most widely studied dimensionality reduction technique.
Paliwal, K.K., Sharma, Alokanand
core   +1 more source

Modeling With Prejudice: Small-Sample Learning via Adversary for Semantic Segmentation

IEEE Access, 2018
Semantic segmentation has become one of the core tasks for scene understanding and many high-level works heavily rely on its performance. In the past decades, much progress has been achieved. However, some problems still need to be settled.
Zhiyu Jiang, Qi Wang, Yuan Yuan
doaj   +1 more source

Alleviating small sample problem in continuous forest monitoring with remote sensing-assisted Copulas

Ecological Indicators
With model-assisted (MA) estimation, remote sensing (RS) has provided auxiliary modeling data to enhance precision in estimators of forest parameters for continuous forest monitoring as mandated by various official reporting instruments.
Xinjie Cheng, Zhengyang Hou, Annika Kangas, Jean-Pierre Renaud, Hao Tang, Weisheng Zeng, Qing Xu   +6 more
doaj   +1 more source

Unravelling Small Sample Size Problems in the Deep Learning World [PDF]

2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 2020
3 figures, 2 tables, accepted in BigMM ...
Keshari, Rohit, Ghosh, Soumyadeep, Chhabra, Saheb, Vatsa, Mayank, Singh, Richa   +4 more
openaire   +2 more sources

Prevalence and predictors of video game addiction: a study based on a national representative sample of gamers [PDF]

, 2015
Video gaming has become a popular leisure activity in many parts of the world, and an increasing number of empirical studies examine the small minority that appears to develop problems as a result of excessive gaming.
C Hagquist, Charlotte Thoresen Wittek, CJ Ferguson, CS Andreassen, CS Peters, D Bhugra, D Williams, D Williams, Daniel Hanss, DL King, DL King, DL King, EJ Kim, F Rehbein, GS Brunborg, GS Brunborg, H Choo, H Cole, H Pontes, Helge Molde, HG Wenzel, HR Eriksen, IBM Corp Released, JP Charlton, JS Lemmens, JS Wiggins, K Kroenke, L Elliot, M Algeria, Mark D. Griffiths, MB Donellan, MD Griffiths, MD Griffiths, PT Costa, RA Mentzoni, RL Thorndike, Rune Aune Mentzoni, Ståle Pallesen, Turi Reiten Finserås, Y Takata   +39 more
core   +1 more source

Imaging of High‐Risk Neuroblastoma: Recommendations From SIOPEN Radiology and Nuclear Medicine Specialty Committees

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij, Catia Olianti, Herve Brisse, Pier Luigi Di Paolo, Maria Garganese, Tejas Kapadia, Jurgen Schaefer, Hugh Wallace, Simon Wan, Bart de Keizer, Irmina Sefic Pasic, Julian Rogasch   +11 more
wiley   +1 more source

A Novel Approach to Surface Roughness Virtual Sample Generation to Address the Small Sample Size Problem in Ultra-Precision Machining

Sensors
Surface roughness is one of the main bases for measuring the surface quality of machined parts. A large amount of training data can effectively improve model prediction accuracy.
Ruilin Liu, Wenwen Tian
doaj   +1 more source