Results 91 to 100 of about 3,885,736 (246)

Additively Manufactured Geometry‐Reconfigurable Soft Neural Probes With Monolithic Multifunctionality

Advanced Functional Materials, EarlyView.
A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee, Xinyi Wang, Sirui Li, Jihyang Park, Hyunseok Lee, Jianting Yao, Kedar Narayan, Yuqi Wang, Jiashu Ren, Yueqi Deng, Salahuddin Ahmed, Denver I. Greenawalt, Archana Pandiyan, Loganathan Veeramuthu, Chi‐Ching Kuo, Tao Zhou   +15 more
wiley   +1 more source

Transformer fault diagnosis based on chemical reaction optimization algorithm and relevance vector machine

MATEC Web of Conferences, 2017
Power transformer is one of the most important equipment in power system. In order to predict the potential fault of power transformer and identify the fault types correctly, we proposed a transformer fault intelligent diagnosis model based on chemical ...
Luo Wei, Peng Minfang, Wan Xun, Wang Shengquan, Liao Xiupu   +4 more
doaj   +1 more source

Hybrid Radar Emitter Recognition Based on Rough k-Means Classifier and Relevance Vector Machine

Sensors, 2013
Due to the increasing complexity of electromagnetic signals, there exists a significant challenge for recognizing radar emitter signals. In this paper, a hybrid recognition approach is presented that classifies radar emitter signals by exploiting the ...
Hongjian Sun, Taifan Quan, Zhendong Yin, Zhilu Wu, Zhutian Yang   +4 more
doaj   +1 more source

The Fuzzy Relevance Vector Machine and its application to noise reduction in ECG signal [PDF]

, 2005
The paper presents new method called the Fuzzy Relevance Vector Machine (FRVM), a modification of the relevance vector machine, introduced by M. Tipping, applied to learning Takagi-Sugeno-Kang (TSK) fuzzy system.
Momot, A., Momot, M., Łęski, J.
core  

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

Advanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao, Ilayda Namli, Joseph Christakiran Moses, Youdi Liu, Suihong Liu, Syed Hasan Askari Rizvi, Yasar Ozer Yilmaz, Ibrahim T. Ozbolat   +7 more
wiley   +1 more source

Assessment and Prediction of Mechanical Equipment Reliability Based on Combined Kernel Relevance Vector Machine and EEMD Information Entropy

工程科学与技术, 2019
The ability of mechanical equipment to work normally in the expected service environment is usually reflected by operational reliability. Traditional methods for evaluating operational reliability of mechanical equipment are often based on a large number
Fafa CHEN, Yunpeng YANG, Baoping TANG, Wenrong XIAO, Baojia CHEN, Fajun ZHANG   +5 more
doaj  

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

A Multi-Scale Residential Areas Matching Method Using Relevance Vector Machine and Active Learning

ISPRS International Journal of Geo-Information, 2017
Multi-scale object matching is the key technology for upgrading feature cascade and integrating multi-source spatial data. Considering the distinctiveness of data at different scales, the present study selects residential areas in a multi-scale database ...
Xinchang Zhang, Guowei Luo, Guangjing He, Liyan Chen   +3 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Regression depth and support vector machine [PDF]

The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core