RESAMPLING

作品数:73被引量:103H指数:5
导出分析报告
相关领域:自动化与计算机技术更多>>
相关作者:程卫东温伟刚林明李建勇更多>>
相关机构:北京大学北京交通大学更多>>
相关期刊:更多>>
相关基金:国家自然科学基金国家教育部博士点基金国家高技术研究发展计划湖北省自然科学基金更多>>
-

检索结果分析

结果分析中...
条 记 录,以下是1-10
视图:
排序:
Unscented Particle Filter Algorithm Towards Data Quality Improvement in Sustainable Distribution Power Systems
《CSEE Journal of Power and Energy Systems》2024年第6期2631-2638,共8页Wanxing Sheng Huaitian Zhang Keyan Liu Xiaoli Meng 
supported by China Electric Power Research Institute Innovation Fund Program:Research on inexact data correction and association method for D-IoT(5242001900DS)。
Sustainable development of power and energy systems(PES)can effectively handle challenges of fuel shortage,environmental pollution,climate change,energy security,etc.Data of PES presents distinctive characteristics in...
关键词:Data quality improvement KLD resampling particle filter power and energy system unscented Kalman filter 
GRAMO:geometric resampling augmentation for monocular 3D object detection
《Frontiers of Computer Science》2024年第5期161-169,共9页He GUAN Chunfeng SONG Zhaoxiang ZHANG 
This work was supported in part by the National Key R&D Program of China(No.2022ZD0160102);the National Natural Science Foundation of China(Grant Nos.61836014,U21B2042,62072457,62006231).
Data augmentation is widely recognized as an effective means of bolstering model robustness.However,when applied to monocular 3D object detection,non-geometric image augmentation neglects the critical link between the...
关键词:3D detection MONOCULAR augmentation GEOMETRY 
SimHOEPI:A resampling simulator for generating single nucleotide polymorphism data with a high-order epistasis model
《Quantitative Biology》2024年第2期197-204,共8页Yahan Li Xinrui Cai Junliang Shang Yuanyuan Zhang Jin-Xing Liu 
This work was supported by the National Natural Science Foundation of China(Nos.61972226 and 62172254).
Epistasis is a ubiquitous phenomenon in genetics,and is considered to be one of main factors in current efforts to unveil missing heritability of complex diseases.Simulation data is crucial for evaluating epistasis de...
关键词:high-order epistasis model penetrance table resampling strategy simulation single nucleotide polymorphisms 
An Imbalanced Data Classification Method Based on Hybrid Resampling and Fine Cost Sensitive Support Vector Machine被引量:2
《Computers, Materials & Continua》2024年第6期3977-3999,共23页Bo Zhu Xiaona Jing Lan Qiu Runbo Li 
supported by the Yunnan Major Scientific and Technological Projects(Grant No.202302AD080001);the National Natural Science Foundation,China(No.52065033).
When building a classification model,the scenario where the samples of one class are significantly more than those of the other class is called data imbalance.Data imbalance causes the trained classification model to ...
关键词:Imbalanced data classification Silhouette value Mahalanobis distance RIME algorithm CS-SVM 
Resampling approaches for the quantitative analysis of spatially distributed cells
《Data Intelligence》2024年第1期104-119,共16页Giorgio Bertolazzi Michele Tumminello Gaia Morello Beatrice Belmonte Claudio Tripodo 
This study has been supported by the Italian Ministry of Education,University and Research(MIUR)through the“PON Research and Innovation 2014–2020”to G.B.;by the National Biodiversity Future Center(NBFC)CN00000033(CUP UNIPA B73C22000790001),and through the OBIND project N.086202000366(CUP G29J18000700007)to M.T.;by the Italian Foundation for Cancer Research(AIRC)through the 5×1000 I.D.22759 Grant and AIRC Accelerator Award ID.24296 to C.T.;by the Italian Ministry of Education,University and Research(MIUR)Grant 2017K7FSYB to C.T.
Image segmentation is a crucial step in various image analysis pipelines and constitutes one of the cutting-edge areas of digital pathology.The advent of quantitative analysis has enabled the evaluation of millions of...
关键词:Digital pathology spatial cytometry spatial clustering spatial randomness RESAMPLING 
Unveiling protein corona composition:predicting with resampling embedding and machine learning
《Regenerative Biomaterials》2024年第1期27-33,共7页Rong Liao Yan Zhuang Xiangfeng Li Ke Chen Xingming Wang Cong Feng Guangfu Yin Xiangdong Zhu Jiangli Lin Xingdong Zhang 
sponsored by the National Key Research and Development Program of China(2021YFB3802100,2021YFB3802105);the Major Project of Sichuan Science and Technology Department(2022ZDZX0029);the Miaozi Project of Sichuan Science and Technology Department(2023JDRC0097)。
Biomaterials with surface nanostructures effectively enhance protein secretion and stimulate tissue regeneration.When nanoparticles(NPs)enter the living system,they quickly interact with proteins in the body fluid,for...
关键词:NANOPARTICLES protein corona machine learming resampling technique feature analysis 
Credit Card Fraud Detection Using Improved Deep Learning Models
《Computers, Materials & Continua》2024年第1期1049-1069,共21页Sumaya S.Sulaiman Ibraheem Nadher Sarab M.Hameed 
Fraud of credit cards is a major issue for financial organizations and individuals.As fraudulent actions become more complex,a demand for better fraud detection systems is rising.Deep learning approaches have shown pr...
关键词:Card fraud detection hyperparameter tuning deep learning autoencoder convolution neural network long short-term memory RESAMPLING 
Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis
《Computer Systems Science & Engineering》2023年第10期575-591,共17页Mamoona Humayun Danish Javed Nz Jhanjhi Maram Fahaad Almufareh Saleh Naif Almuayqil 
This work was funded by the Deanship of Scientific Research at Jouf University under Grant Number(DSR2022-RG-0105).
Twitter has emerged as a platform that produces new data every day through its users which can be utilized for various purposes.People express their unique ideas and views onmultiple topics thus providing vast knowled...
关键词:Bi-directional deep learning RESAMPLING random minority oversampling sentiment analysis class label analysis 
Comparison of uniform resampling and nonuniform sampling direct-reconstruction methods in k-space for FD-OCT
《Journal of Innovative Optical Health Sciences》2023年第5期93-106,共14页Yanrong Yang Yun Dai Yuehua Zhou Yaliang Yang 
supported by the National Natural Science Foundation of China(Grant Nos.61575205 and 62175022);Sichuan Natural Science Foundation(2022NSFSC0803);Sichuan Science and Technology Program(2021JDRC0035).
The nonuniform distribution of interference spectrum in wavenumber k-space is a key issue to limit the imaging quality of Fourier-domain optical coherence tomography(FD-OCT).At present,the reconstruction quality at di...
关键词:Optical coherence tomography signal processing uniform resampling nonuniform sampling direct-reconstruction reconstruction quality. 
ESR-PINNs:Physics-informed neural networks with expansion-shrinkage resampling selection strategies
《Chinese Physics B》2023年第7期337-346,共10页刘佳楠 侯庆志 魏建国 孙泽玮 
Project supported by the National Key Research and Development Program of China(Grant No.2020YFC1807905);the National Natural Science Foundation of China(Grant Nos.52079090 and U20A20316);the Basic Research Program of Qinghai Province(Grant No.2022-ZJ-704).
Neural network methods have been widely used in many fields of scientific research with the rapid increase of computing power.The physics-informed neural networks(PINNs)have received much attention as a major breakthr...
关键词:physical informed neural networks RESAMPLING partial differential equation 
检索报告 对象比较 聚类工具 使用帮助 返回顶部