Results 121 to 130 of about 5,429,485 (293)

Parameter simplification methods for assessing support status of hydraulic supports in fully-mechanized working face based on MNRS

Meitan kexue jishu
Aiming at the problem that the accurate evaluation of hydraulic roof support status can not be achieved due to heavy noise, multiple parameters, data redundancy, and uneven sample distribution in monitoring data for hydraulic roof support in fully ...
Chuanwei ZHANG, Junfeng HUANG, Zhengxiong LU, Linyue LI, Jiawei TIAN, Yueyang MA, Changxuan ZHAO, Bin YANG   +7 more
doaj   +1 more source

3D‐Printed Titanium Gyroid Scaffold Structure Integrated With Tough Hybrid Materials for Cartilage Replacement

Advanced Engineering Materials, EarlyView.
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin, Gloria R. Young, Francesca Tallia, Reece N. Oosterbeek, Shaaz Ghouse, Edward Spiers, Nupur Kohli, Tom Briggs, Marc Masen, Siwei Li, Ren‐Jei Chung, Jonathan R. T. Jeffers, Julian R. Jones   +12 more
wiley   +1 more source

A Gene selection approach based on the fisher linear discriminant and the neighborhood rough set. [PDF]

Bioengineered, 2018
Sun L, Zhang X, Xu J, Wang W, Liu R.
europepmc   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

Advanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller, Steffen Gabsa, Werner Homberg, Guido Grundmeier   +3 more
wiley   +1 more source

Knowledge acquisition based on rough set and data mining

, 2009
The case-based reasoning (CBR) becomes a novel paradigm that solves a new problem by remembering a previous similar situation and by reusing information and knowledge of that situation.
Guo HF(郭海峰), Xiaoming Zhou, Zhu YL(朱云龙), Zhou XM(周小明), Haifeng Guo, Yulong Zhu   +5 more
core   +1 more source

Multi-information fusion welding defect identification combining neighborhood rough set and optimized SVM

Hanjie xuebao
A multi-information fusion welding defect recognition method is proposed by combining NRS with optimized SVM to address the “big data” generated during the multi-sensor information fusion welding process.
Zhiqiang FENG, Xianping ZENG, Naiwen FANG, Daidi ZHAO, Quan LI, Jiutian LUO, Xin LI   +6 more
doaj   +1 more source

An Entropy-Based Neighborhood Rough Set and PSO-SVRM Model for Fatigue Life Prediction of Titanium Alloy Welded Joints. [PDF]

Entropy (Basel), 2019
Zou L, Sun Y, Yang X, Yang X.
europepmc   +1 more source

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

Advanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel, Prashant K. Purohit, Jordan R. Raney   +2 more
wiley   +1 more source

A Unified Granular-ball Learning Model of Pawlak Rough Set and Neighborhood Rough Set

, 2022
Pawlak rough set and neighborhood rough set are the two most common rough set theoretical models. Pawlak can use equivalence classes to represent knowledge, but it cannot process continuous data; neighborhood rough sets can process continuous data, but ...
Yu, Jianhang, Wang, Guoyin, Ding, Weiping, Gao, Xinbo, Chen, Zizhong, Wang, Cheng, Xia, Shuyin, Zhai, Yujia   +7 more
core  

Optimizing Attribute Reduction in Multi-Granularity Data through a Hybrid Supervised–Unsupervised Model

Mathematics
Attribute reduction is a core technique in the rough set domain and an important step in data preprocessing. Researchers have proposed numerous innovative methods to enhance the capability of attribute reduction, such as the emergence of multi ...
Zeyuan Fan, Jianjun Chen, Hongyang Cui, Jingjing Song, Taihua Xu   +4 more
doaj   +1 more source