Results 61 to 70 of about 16,400 (142)

Mechanism of Communications Management Based on Fuzzy Modeling Механизм управления коммуникациями на основе применения нечеткой модели [PDF]

Problemi Ekonomiki, 2012
The construction of a mechanism of organizational communications management based on the analysis of existing mechanisms and identifying their weaknesses is suggested in the article. The necessity of establishing a mechanism for communications management
Penkova Inessa V., Bodnar Alina V.
doaj  

A Data‐Driven Quest for Room‐Temperature Bulk Plastically Deformable Ceramics

Journal of the American Ceramic Society, Volume 109, Issue 2, February 2026.
(1) This study presents the first systematic data‐driven analysis of key parameters governing room‐temperature bulk plasticity in ceramics employing a fuzzy inference model. (2) By integrating elastic, structural, and electronic descriptors, it constructs a multiscale parameter space bridging the gap between empirical ductility criteria and atomistic ...
Iwo Słodczyk, Alexander Frisch, Xufei Fang, Inna Gitman, Fengxian Liu   +4 more
wiley   +1 more source

Lattices of fuzzy objects

International Journal of Mathematics and Mathematical Sciences, 1996
The collection of fuzzy subsets of a set X forms a complete lattice that extends the complete lattice 𝒫(X) of crisp subsets of X. In this paper, we interpret this extension as a special case of the “fuzzification” of an arbitrary complete lattice A. We
Arturo A. L. Sangalli
doaj   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, Volume 36, Issue 1, 2 January 2026.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Artificial Counselor System for Stock Investment

, 2019
This paper proposes a novel trading system which plays the role of an artificial counselor for stock investment. In this paper, the stock future prices (technical features) are predicted using Support Vector Regression.
Crowley, Mark, Ghojogh, Benyamin, NekoeiQachkanloo, Hadi, Pasand, Ali Saheb   +3 more
core   +1 more source

Optimization and predictive modelling of biodiesel production from waste cooking oil catalyzed by blast furnace slag geopolymer using RSM and machine learning

The Canadian Journal of Chemical Engineering, Volume 104, Issue 1, Page 6-30, January 2026.
Abstract Biodiesel production from waste cooking oil (WCO) has emerged owing to growing interest in sustainable energy sources. Geopolymers synthesized from industrial wastes, such as blast furnace slag (BFS), are promising catalysts because of their environmental benefits and catalytic properties.
Pascal Mwenge, Djemima Bulanga, Hilary Rutto, Tumisang Seodigeng   +3 more
wiley   +1 more source

Fuzzy logic use case within the built environment for optimizing sustainability versus cost in the material selection process

Frontiers in Built Environment
This study aims to investigate the application of fuzzy logic in decision-making within the Built Environment. The research focuses on achieving a balance between reducing carbon emissions and increasing costs in the selection of materials and equipment.
Kyle Abbott Smith, Rubayet Bin Mostafiz, Carol Friedland, Isabelina Nahmens   +3 more
doaj   +1 more source

Neural network prediction of load capacity for eccentrically loaded reinforced concrete columns

Computer Assisted Methods in Engineering and Science, 2017
This paper presents neural networks prediction of load capacity for eccentrically loaded reinforced concrete (RC) columns. The direct modelling of the load capacity of RC columns by means of the finite element method presents several difficulties ...
Magdalena Jakubek
doaj   +1 more source

Commutative POVMs and Fuzzy Observables

, 2009
In this paper we review some properties of fuzzy observables, mainly as realized by commutative positive operator valued measures. In this context we discuss two representation theorems for commutative positive operator valued measures in terms of ...
Ali, S. Twareque, Carmeli, Claudio, Heinosaari, Teiko, Toigo, Alessandro   +3 more
core   +1 more source

Enhancing Hybrid Microgrid Dynamics Using an Agent‐Based Reinforcement Learning (RL) Framework

Energy Science &Engineering, Volume 14, Issue 1, Page 144-162, January 2026.
Overview of (RL) framework ABSTRACT Hybrid microgrids, integrating renewable, and conventional energy sources are critical for sustainable and resilient power systems. Their dynamic performance is affected by uncertainties in load demand, generation variability, and control strategies.
Sudhakiran Ponnuru, Vendoti Suresh, B. Krishnaveni, Ravindra S., Venkateshmurthy B. S., M. Satyanarayana Gupta, K. Aravinda, M. J. D. Ebinezer, S. Prabhakar   +8 more
wiley   +1 more source