Results 161 to 170 of about 1,803,229 (305)

Interpreting low and high order rules: a granular computing approach

, 2007
. The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the decision logic language for granular computing.
Yiyu Yao, Bing Zhou, Yaohua Chen
core  

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Granular computing in mosaicing of images from capsule endoscopy. [PDF]

Nat Comput, 2015
Maciura L, Bazan JG.
europepmc   +1 more source

Ionic Precursors Transformed Into Vinyl Acetate Synthesis Catalyst via Reaction‐Driven Restructuring

Advanced Functional Materials, EarlyView.
This work demonstrates that a simple physical mixture of Pd and Au ionic precursors, KOAc promoter, and SiO2 support can transform into a highly active vinyl acetate synthesis catalyst through reaction‐driven restructuring. The results highlight reaction‐induced restructuring as an innovative and sustainable catalyst design strategy.
Byeong Jun Cha, Welman C. Elias, Hunter P. Jacobs, Kimberly N. Heck, Saghar Rezaie, Sadegh Yazdi, Kiheon Hong, Justin J. Dodson, Laiyuan Chen, Sean G. Mueller, Steven R. Alexander, Michael S. Wong   +11 more
wiley   +1 more source

Comparative study of granular computing and RKCCA-based feature fusion for early lithium-ion battery RUL estimation. [PDF]

Sci Rep
Hiroshini K, Devanathan B, Bou-Rabee M, Kayalvizhi S.   +3 more
europepmc   +1 more source

Granular computing with multiple granular layers for brain big data processing. [PDF]

Brain Inform, 2014
Wang G, Xu J.
europepmc   +1 more source

Strong Lead‐Free Bioinspired Piezoceramics for Durable Energy Transducers

Advanced Functional Materials, EarlyView.
We fabricated brick‐and‐mortar lead‐free piezoceramics with Bi0.5Na0.5TiO3 monocrystal platelets as bricks and amorphous silica as mortar. The alignment of the bricks and the presence of the amorphous silica led to anisotropic residual stresses. These residual stresses increase the samples toughness, strength and durability while the brick alignment ...
Ruxue Yang, Temesgen Tadeyos Zate, Peiren Wang, Soumyajit Mojumder, Elo Overgaard Mogensen, Oriol Gavalda‐Diaz, Zihe Li, Shitong Zhou, Ajeet Kumar, James Roscow, Hamideh Khanbareh, Astri Bjørnetun Haugen, Florian Bouville   +12 more
wiley   +1 more source

Exploring multi-granularity balance strategy for class incremental learning via three-way granular computing. [PDF]

Brain Inform
Xian Y, Yu H, Wang Y, Wang G.
europepmc   +1 more source

Spatially Regulated Lithium Plating via Li2O‐Rich Interphase Enables Durable Fast‐Charging Hybrid Lithium Batteries

Advanced Functional Materials, EarlyView.
A Li2O‐rich solid electrolyte interphase (SEI) is engineered on graphite through a propylene carbonate‐based electrolyte to spatially regulate Li plating. The homogeneous interphase lowers Li nucleation barriers, promotes conformal Li deposition around graphite particles, and suppresses dendritic accumulation, enabling durable hybrid Li‐ion/Li‐metal ...
Robert Kuphal, Jingjing Liu, Junxiang Liu, Tao Ma, Yi Ding, Mahmood Haq, Satish Udpa, Stephen J. Harris, Chengcheng Fang   +8 more
wiley   +1 more source

Some Granular Computing Based Machine Learning Algorithms

Transactions on Fuzzy Sets and Systems
Granular computing has emerged as a new computational method that is beneficial when dealing with large amounts of data. In recent years, several machine learning models based on the granular framework have been developed, outperforming traditional ...
Vijay R. Tiwari
doaj