Results 51 to 60 of about 3,587 (294)
A Characterization Of Fuzzy Subgroups [PDF]
, 1982 An ordinary subgroup of a group G is (1) a subset of G, (2) closed under the group operation. In a fuzzy subgroup it is precisely these two notions that lose their deterministic character.
Anthony, J. M., Sherwood, H.
core +1 more source
Advanced Science, EarlyView.A cationic poly(disulfide)‐drug nanoplatform (LA/DexP) was developed to treat experimental autoimmune uveitis (EAU). With potent blood‐retinal barrier penetrability, LA/DexP releases DSP in response to high ROS and scavenges cfDNA to inhibit the cGAS‐STING signaling pathway.
Yuelan Wu +12 more
wiley +1 more source
Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD [PDF]
International Journal of Computational Intelligence Systems, 2012 The main objective of subgroup discovery is to discover interesting and interpretable patterns with respect to a specific property. The use of evolutionary fuzzy systems provides good algorithms to approach this problem. In this sense, NMEEF-SD algorithm
C.J. Carmona +3 more
doaj +1 more source
On Cubic Fuzzy Groups and Cubic Fuzzy Normal Subgroups
Science Journal of University of Zakho, 2022 In this paper, the notions of cubic fuzzy groups and cubic fuzzy normal subgroups are introduced. The internal, external of cubic sets, (P-,R-) order, (P-,R-) intersection and (P-,R-) union of cubic fuzzy groups are investigated and some related ...
Kardo Sleman Haso, Alias Barakat Khalaf
doaj +1 more source
Subgroup discovery in data sets with multi-dimensional responses [PDF]
, 2011 Most of the present subgroup discovery approaches aim at finding subsets of attribute-value data with unusual distribution of a single output variable.
Zupan, Blaz, Umek, Lan
core
When Biology Meets Medicine: A Perspective on Foundation Models
Advanced Intelligent Discovery, EarlyView.Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
Roughness in Fuzzy Cayley Graphs
Қарағанды университетінің хабаршысы. Математика сериясы, 2023 Rough set theory is a worth noticing approach for inexact and uncertain system modelling. When rough set theory accompanies with fuzzy set theory, which both are a complementary generalization of set theory, they will be attended by potency in ...
M.H. Shahzamanian, B. Davvaz
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
American Journal of Medical Genetics Part C: Seminars in Medical Genetics, EarlyView.ABSTRACT Arthrogryposis Multiplex Congenita (AMC) encompasses several hundred conditions with diverse genetic, pathophysiological, and clinical origins. The overarching EXPLAIN study explores underlying causes and implications of AMC and represents the largest clinical cohort of adults with AMC reported to date.
My Vuong Hermansen +5 more
wiley +1 more source
Archaeological Prospection, EarlyView.ABSTRACT Burial mounds are key elements of Mediterranean funerary landscapes, but in intensively cultivated coastal plains their low‐relief expression is easily obscured by ploughing, levelling and rapidly changing surface conditions, making single‐date observations unreliable.
Salvatore Polverino +2 more
wiley +1 more source