Results 211 to 220 of about 7,027,366 (305)

Spatially Tailorable Liquid Crystalline Elastomer Alignment During Digital Light Process 3D Printing

Advanced Functional Materials, EarlyView.
Here, we report the fabrication of 3D printable liquid crystalline elastomer (LCE) structures with spatially tailorable alignment domains within the same layer. This work addresses the long‐standing challenge of preparing complex 3D LCE architectures with patterned functional domains to achieve nonlinear deformations. Fabrication of multi‐domains in 3D
Adam Bischoff, Saman Jamshididana, Zach Miller, Kassandra Hernandez, Nicolas Gonsalves, Andre Olarra, Elliot Yoo, Jeremy A. Herman, Devin J. Roach   +8 more
wiley   +1 more source

Reprogramming Tumor Cell Death via Processing Natural Drug to Carbon Dots Overcomes Collagen Barrier and Activates Antitumor Immunity

Advanced Functional Materials, EarlyView.
A traditional Chinese medicine‐derived carbon dots nanoplatform reprograms tumor cell death from apoptosis to necroptosis, dismantling therapy‐induced collagen barriers and promoting immunogenic death. pH‐responsive hydrogel assembled from carbon dots for localized delivery, this strategy suppresses primary tumors and metastasis, offering a new ...
Zekun Yan, Hongwei Cheng, Yupeng Liu, Wenfeng Xu, Quansheng Cheng, Lingyun Li, Xue Wu, Yingqi Liang, Jing Zhao, Gang Liu, Shaoping Li, Songnan Qu   +11 more
wiley   +1 more source

Vector-Based Rough Sets

Information Sciences
Hajime Okawa, Yasuo Kudo, Tetsuya Murai
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Multi-source information fusion based on rough set theory: A review

Information Fusion, 2021
Multi-Source Information Fusion (MSIF) is a comprehensive and interdisciplinary subject, and is referred to as, multi-sensor information fusion which was originated in the 1970s.
Pengfei Zhang, Tianrui Li, Guoqiang Wang, Chuan Luo, Hongmei Chen, Junbo Zhang, Dexian Wang, Zeng Yu   +7 more
semanticscholar   +1 more source

A novel fuzzy rough set model with fuzzy neighborhood operators

Information Sciences, 2021
It is not widely acknowledged that none of existing fuzzy β -neighborhood operators satisfies the reflexivity when β ≠ 1 . To overcome this shortcoming, four types of fuzzy β -neighborhood operators are redefined, which shows that two redefined operators
Jin Ye, J. Zhan, Weiping Ding, H. Fujita
semanticscholar   +1 more source

Attribute reduction methods in fuzzy rough set theory: An overview, comparative experiments, and new directions

Applied Soft Computing, 2021
Fuzzy rough set theory is a powerful tool to deal with uncertainty information, which has been successfully applied to the fields of attribute reduction, rule extraction, classification tree induction, etc.
Zhong Yuan, Hongmei Chen, Peng Xie, Pengfei Zhang, Jia Liu, Tianrui Li   +5 more
semanticscholar   +1 more source

GBRS: A Unified Granular-Ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set

IEEE Transactions on Neural Networks and Learning Systems, 2022
Pawlak rough set (PRS) and neighborhood rough set (NRS) are the two most common rough set theoretical models. Although the PRS can use equivalence classes to represent knowledge, it is unable to process continuous data. On the other hand, NRSs, which can
Shuyin Xia, Cheng Wang, Guoyin Wang, Xinbo Gao, Weiping Ding, Jianhang Yu, Yujia Zhai, Zizhong Chen   +7 more
semanticscholar   +1 more source

GBNRS: A Novel Rough Set Algorithm for Fast Adaptive Attribute Reduction in Classification

IEEE Transactions on Knowledge and Data Engineering, 2020
Feature reduction is an important aspect of Big Data analytics on today’s ever-larger datasets. Rough sets are a classical method widely applied in attribute reduction.
Shuyin Xia, Zhao Zhang, Wenhua Li, Guoyin Wang, Elisabeth Giem, Zizhong Chen   +5 more
semanticscholar   +1 more source