Results 51 to 60 of about 2,506 (205)

Combinational reasoning of quantitative fuzzy topological relations for simple fuzzy regions. [PDF]

open access: yesPLoS ONE, 2015
In recent years, formalization and reasoning of topological relations have become a hot topic as a means to generate knowledge about the relations between spatial objects at the conceptual and geometrical levels. These mechanisms have been widely used in
Bo Liu   +5 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Basis of Fuzzy Generalized Topological Space [PDF]

open access: yesSahand Communications in Mathematical Analysis
This paper studies the concept of fuzzy generalized topologies, which are generalizations of smooth topologies and Chang's fuzzy topologies. A basis of fuzzy generalized topological space will be defined as functions from the family of all fuzzy subsets ...
Abdelhak Razouki
doaj   +1 more source

Evolution of Physical Intelligence Across Scales

open access: yesAdvanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu   +7 more
wiley   +1 more source

Weakly continuous functions on mixed fuzzy topological spaces

open access: yesActa Scientiarum: Technology, 2014
The notions of continuity was generalized in the fuzzy setting by Chang (1968). Later on Azad (1981) introduced some weaker form of fuzzy continuity like fuzzy almost continuity, fuzzy semi-continuity and fuzzy weak continuity.
Binod Chandra Tripathy   +1 more
doaj   +1 more source

Terrestrial Cyborg Insects for Real‐Life Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le   +10 more
wiley   +1 more source

Interval Valued Fuzzy Neutrosophic Soft Structure Spaces [PDF]

open access: yesNeutrosophic Sets and Systems, 2014
In this paper we introduce the topological structure of interval valued fuzzy neutrosophic soft sets and obtain some of its properties. We also investigate some operators of interval valued fuzzy neutrosophic soft topological space.
I. Arockiarani, I. R. Sumathi
doaj  

Fuzzy uniformities on function spaces

open access: yesApplied General Topology, 2006
We study several uniformities on a function space and show that the fuzzy topology associated with the fuzzy uniformity of uniform convergence is jointly fuzzy continuous on Cf (X, Y ) ,the collection of all fuzzy continuous functions from a fuzzy ...
J.K. Kohli, A.R. Prasannan
doaj   +1 more source

Pythagorean fuzzy topological spaces [PDF]

open access: yesComplex & Intelligent Systems, 2019
In the present paper, we introduce the notion of Pythagorean fuzzy topological space by motivating from the notion of fuzzy topological space. We define Pythagorean fuzzy continuity of a function defined between Pythagorean fuzzy topological spaces and we characterize this concept.
Murat Olgun   +2 more
openaire   +1 more source

Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera   +2 more
wiley   +1 more source

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