Results 71 to 80 of about 88,237 (314)

Oral Motion‐Powered Smart Dental Implant Abutment for In Situ Antibacterial and Cell Adhesion Through Piezoelectric Effect

Advanced Science, EarlyView.
We proposed a method based on the piezoelectric effect and fabricated an implant abutment on the basis of piezoelectric ceramic. Under physiological occlusal pressure, the oral motion‐powered smart dental implant abutments interacted with water and oxygen, promoting the formation of reactive oxygen species and achieving a synergistic and highly ...
Xiyu Shi, Xiaoyu Han, Yanhui Lu, Yuan Chai, Baiyan Xiao, Shuo Liu, Boon Chin Heng, Tingting Wu, Tingjun Li, Qiaomei Ren, Ting Song, Le Chen, Dong Han, Yaru Guo, Xuliang Deng, Xuehui Zhang   +15 more
wiley   +1 more source

Трехпозиционное управление транспортным средством на основе нейроинтерфейса с применением машинного обучения

Информатика и автоматизация
Интерфейс мозг-компьютер представляет собой сложную систему, позволяющую управлять внешними электронными устройствами с помощью активности головного мозга.
Alexander Fradkov, Nickolay Babich
doaj   +1 more source

Authentication of moving kNN queries [PDF]

2011 IEEE 27th International Conference on Data Engineering, 2011
A moving kNN query continuously reports the k nearest neighbors of a moving query point. In addition to the query result, a service provider that evaluates moving queries often returns mobile clients a safe region that bounds the validity of query results to minimize the communication cost between the two parties.
Man Lung Yiu, Eric Lo 0001, Duncan Yung
openaire   +1 more source

Performance of the three ML models (RF-SVM, RF-kNN, MeanDiff-kNN).

, 2019
Performance of the three ML models (RF-SVM, RF-kNN, MeanDiff-kNN).
Jae Joseph Russell Rodriguez (8082014), Joverlyn Gaudillo (8082011), Rommel Bulalacao (8082026), Lei Rigi Baltazar (8082020), Julianne Vilela (8082023), Allen Nazareno (8082017), Mario Domingo (8082029), Jason Albia (8082032)   +7 more
core   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

kNN-week.ipynb

Code and data used for the paper "SAMPLID: A new Supervised Approach for Meaningful PLace IDentification using call detail records as an alternative to classical unsupervised clustering techniques"
Manuel Mendoza-Hurtado (18118441)
core   +1 more source

Speed-up comparison of MR-KNN and KNN-IS, with 5-fold-CV.

, 2018
Speed-up comparison of MR-KNN and KNN-IS, with 5-fold-CV.
Ahmad B. A. Hassanat (6009374)
core   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

ẢNH HƯỞNG CỦA NHIỆT ĐỘ THIÊU KẾT ĐẾN MỘT SỐ TÍNH CHẤT VẬT LÝ CỦA HỆ GỐM (K0,5Na0,5)NbO3

Tạp chí Khoa học Đại học Huế: Khoa học Tự nhiên, 2020
Hệ gốm K0,5Na0,5NbO3 (KNN) được chế tạo thành công bằng phương pháp phản ứng pha rắn. Ảnh hưởng của nhiệt độ thiêu kết đến tính chất điện môi và áp điện của hệ gốm KNN đã được nghiên cứu.
Dung Thi Hoai Trang, Hoang Ngoc An, Le Thi Lien Huong, Le Tran Uyen Tu, Vo Thanh Tung   +4 more
doaj   +1 more source