Results 71 to 80 of about 3,651 (294)
Fuzzy Rough Sets versus Rough Fuzzy Sets
, 1998 Reihe Computational Intelligence ...
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, 2005 A fuzzy-rough set model is presented based on the extension of the classical rough set theory. The continuous attributes are fuzzified. The indiscernibility relation in classical rough set is extended to the fuzzy similarity relation. Then an inductive learning algorithm based on fuzzy-rough set model (FRILA) is proposed.
Hong Jing, Lu Jingui, Shi Feng
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On characterization of generalized interval-valued fuzzy rough sets on two universes of discourse [PDF]
, 2009 This paper proposes a general study of (I,T)-interval-valued fuzzy rough sets on two universes of discourse integrating the rough set theory with the interval-valued fuzzy set theory by constructive and axiomatic approaches.
Wu, Wei-Zhi +2 more
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Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation
Advanced Science, EarlyView.A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou +12 more
wiley +1 more source
Dynamic Regulation of Endogenous Transcription Factor Hubs at Single‐Molecule Resolution
Advanced Science, EarlyView.This study combines single‐molecule microscopy and genome editing to characterize the dynamic behaviors of endogenous oncofusion transcription factor EWS::FLI1 in Ewing sarcoma cells. EWS::FLI1 forms neomorphic hubs that dynamically assemble and dissolve. The hubs are regulated during mitosis, by RNA, and by specific chemicals.
Shawn Yoshida +4 more
wiley +1 more source
Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning
Advanced Science, EarlyView.We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng +5 more
wiley +1 more source
Distributed Feature Selection for Big Data Using Fuzzy Rough Sets [PDF]
, 2020 © 1993-2012 IEEE. Fuzzy rough-set-based feature selection is an important technique for big data analysis. However, the classic fuzzy rough set algorithm takes all the data correlations into account, which leads to the centralized computing mode ...
Xiong, Fei +17 more
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TRIM: Simultaneous Thermometry, Ranging, and Imaging via a Monolithic Metalens
Advanced Science, EarlyView.ABSTRACT While metasurfaces offer a pathway beyond the discrete architectures of conventional LWIR systems, physically fusing high‐precision thermometry and passive ranging onto a single metalens remains a formidable challenge. Here, we demonstrate a monolithic, dual‐focus metalens capable of simultaneous multidimensional sensing.
Man Yuan +10 more
wiley +1 more source
Rough Set in Fuzzy Approximation Space with Fuzzy Equivalence Class
Fuzzy Optimization and Modeling, 2020 The rough set model was constructed in fuzzy approximation space. In this study, we first introduce the fuzzy relation, relative sets, and fuzzy equivalence class. Then, we prove some properties of the fuzzy equivalence class.
Mohadeseh Taginejad
doaj
Incremental Perspective for Feature Selection Based on Fuzzy Rough Sets [PDF]
, 2018 Feature selection based on fuzzy rough sets is an effective approach to select a compact feature subset that optimally predicts a given decision label.
Wang, Xizhao +7 more
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