Results 91 to 100 of about 15,532 (286)
Computational engineering design under uncertainty: an aircraft conceptual design perspective [PDF]
, 2009 Presented in this thesis is a novel methodology for aircraft design optimization in the presence of uncertainty, with emphasis on the conceptual design stage.
Padulo, Mattia
core
, 2006 This paper presents three control algorithms for the output probability density function (PDF) control of the 2D and 3D flame distribution systems. For the 2D flame distribution systems, control methods for both static and dynamic flame systems are ...
Wang, Hong; id_orcid +3 more
core +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
, 2011 Statistical learning theory is regarded as an appropriate theory to deal with learning problems on small samples, and it has now become a novel research interest of the machine learning field.
Ha Minghu, Wang Chao, Witold Pedrycz
core +1 more source
Data‐Driven High‐Throughput Volume Fraction Estimation From X‐Ray Diffraction Patterns
Advanced Intelligent Discovery, EarlyView.Long exposure times and the need for manual evaluation limit the use of X‐ray diffraction in high‐throughput applications. This study presents a data‐driven approach addressing both issues. HiVE (a method for High‐throughput Volume fraction Estimation) performs composition estimation for high‐noise XRD patterns produced using polychromatic emission ...
Hawo H. Höfer +6 more
wiley +1 more source
Gas-path Diagnostics and Prognostics for Aero-engines Using Fuzzy Logic and Time Series Analysis [PDF]
, 2004 Reducing the direct operating-costs is now crucial in order to ensure competitive advantages for airlines and manufacturers, and so effective advanced engine-condition monitoring methodologies are necessary.
Marinai, Luca
core
ONLINE FUZZY CLUSTERING OF HIGH DIMENSION DATA STREAMS BASED ON NEURAL NETWORK ENSEMBLES
Сучасний стан наукових досліджень та технологій в промисловості, 2019 The subject matter of the article is fuzzy clustering of high-dimensional data based on the ensemble approach, provided that a number and shape of clusters are not known. The goal of the work is to create the neuro-fuzzy approach for clustering data when
Yevgeniy Bodyanskiy +2 more
doaj +1 more source
A spectrum of compromise aggregation operators for multi-attribute decision making.
, 2006 In many decision making problems, a number of independent attributes or criteria are often used to individually rate an alternative from an agent’s local perspective and then these individual ratings are combined to produce an overall assessment. Now, in
Luo, X. +8 more
core +1 more source
Heterogeneous unsupervised domain adaptation based on fuzzy feature fusion [PDF]
, 2017 © 2017 IEEE. Domain adaptation is a transfer learning approach that has been widely studied in the last decade. However, existing works still have two limitations: 1) the feature spaces of the domains are homogeneous, and 2) the target domain has at ...
Zhang, G +5 more
core +1 more source
Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Advanced Intelligent Discovery, EarlyView.Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source