Results 91 to 100 of about 151,921 (279)

Covariant fuzzy observables and coarse-graining

, 2003
A fuzzy observable is regarded as a smearing of a sharp observable, and the structure of covariant fuzzy observables is studied. It is shown that the covariant coarse-grainings of sharp observables are exactly the covariant fuzzy observables. A necessary
Ali, Ali, Ali, Busch, Busch, Busch, Cassinelli, Cassinelli, Davies, Dunford, Dvurečenskij, Folland, Folland, Heinonen, Herglotz, Hewitt, Kari Ylinen, Mackey, Montgomery, Pekka Lahti, Prugovečki, Teiko Heinonen, Wendel, Zadeh, Zadeh   +24 more
core   +1 more source

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

Advanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao, Jianyong Han, Xiaohu Zhao, Yaming Yu, Peng Gao   +4 more
wiley   +1 more source

Assembly and Disassembly Planning by using Fuzzy Logic & Genetic Algorithms

, 2004
The authors propose the implementation of hybrid Fuzzy Logic-Genetic Algorithm (FL-GA) methodology to plan the automatic assembly and disassembly sequence of products. The GA-Fuzzy Logic approach is implemented onto two levels.
Galantucci, L. M., Percoco, G., Spina, R.   +2 more
core   +2 more sources

The Role of Actual and Purported Origin in e‐Commerce Wine Pricing: Evidence From Italian and French Names on Labels

Agribusiness, EarlyView.
ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi, Amir Maghssudipour, Gianluca Stefani   +2 more
wiley   +1 more source

Fuzzy Supernova Templates I: Classification

, 2009
Modern supernova (SN) surveys are now uncovering stellar explosions at rates that far surpass what the world's spectroscopic resources can handle. In order to make full use of these SN datasets, it is necessary to use analysis methods that depend only on
Aldering, Barbary, Barris, Blondin, Cappellaro, Di Carlo, Dubois, Dubois, Garnavich, George, Goldhaber, Gregory, Gänsicke, Hamacher, Hamuy, Hatano, Hicken, Holtzman, Homeier, Howell, Hsiao, Jha, Jha, Jha, John L. Tonry, Johnson, Klir, Krisciunas, Krisciunas, Krisciunas, Kuznetsova, Lair, Leonard, Lewis, Lira, Meikle, Miknaitis, Nugent, Patat, Perlmutter, Poznanski, Qiu, Reindl, Riess, Riess, Riess, Sako, Sollerman, Steven A. Rodney, Stritzinger, Sullivan, Suntzeff, Tonry, Tsvetkov, Tsvetkov, Wang, Wood-Vasey, Yokoo, Yoshii   +58 more
core   +1 more source

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

Advanced 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

Probabilistic and fuzzy reasoning in simple learning classifier systems [PDF]

, 1995
This paper is concerned with the general stimulus-response problem as addressed by a variety of simple learning c1assifier systems (CSs). We suggest a theoretical model from which the assessment of uncertainty emerges as primary concern.
Muruzábal, Jorge
core   +1 more source

Toward a probability theory for product logic: states, integral representation and reasoning

, 2018
The aim of this paper is to extend probability theory from the classical to the product t-norm fuzzy logic setting. More precisely, we axiomatize a generalized notion of finitely additive probability for product logic formulas, called state, and show ...
Flaminio, Tommaso, Godo, Lluis, Ugolini, Sara   +2 more
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source