Results 51 to 60 of about 11,203 (306)
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
The Construction of Type-2 Fuzzy Reasoning Relations for Type-2 Fuzzy Logic Systems
Type-2 fuzzy reasoning relations are the type-2 fuzzy relations obtained from a group of type-2 fuzzy reasonings by using extended t-(co)norm, which are essential for implementing type-2 fuzzy logic systems.
Shan Zhao, Hongxing Li
doaj +1 more source
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Correction to: Algebraic relations over l-fuzzy soft groups [PDF]
J. Arockia Reeta +2 more
openalex +1 more source
‘Turkeys Cannot Vote for Christmas’: Why Epistemic Disobedience in an Anti‐Black World Matters
ABSTRACT Never in the history of global coloniality has the idea of epistemic disobedience been as important as in the 21st century. This is not only because the struggle for decolonisation has shifted from physical confrontation between the coloniser and the colonised into a battle of ideas but also because the former has deployed the idea of ...
Morgan Ndlovu
wiley +1 more source
Fuzzy Ordering Theory and Its Use in Filter Generalization
The rank ordering of samples is widely used in robust nonlinear signal processing. Recent advances in nonlinear filtering algorithms have focused on combining spatial and rank (SR) order information into the filtering process to allow spatial ...
Barner Kenneth E, Nie Yao, An Wei
doaj +1 more source
Quasi-Copulas, Copulas and Fuzzy Implicators
In this paper, we study relations between fuzzy implicators and some kinds of fuzzy conjunctors, in particular, quasi-copulas and copulas. We show that there is a one-to-one correspondence between the classes of all quasi-copulas and 1-Lipschitz fuzzy ...
Radko Mesiar, Anna Kolesárová
doaj +1 more source
Relational Demonic Fuzzy Refinement [PDF]
We use relational algebra to define a refinement fuzzy order calleddemonic fuzzy refinementand also the associated fuzzy operators which are fuzzy demonic join(⊔fuz), fuzzy demonic meet(⊓fuz), and fuzzy demonic composition(□fuz). Our definitions and properties are illustrated by some examples using mathematica software (fuzzy logic).
openaire +3 more sources
ABSTRACT This paper applies Critical Race Theory (CRT) to explore how whiteness operates within Australia's anti‐racism movement as a structuring force that shapes discourse, practice and policy. Despite the anti‐racism movement offering crucial spaces for resistance and reform, it remains entangled in Australia's settler‐colonial present and systemic ...
Franka Vaughan, Aish Ravi
wiley +1 more source

