兰州大学机构库

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Study of intelligent identification method for drilling condition and lithology in underground coal mine based on deep learning 会议论文
Journal of Physics: Conference Series
Authors:  Chen, G.;  Bi, Z.Q.;  Chen, X.
Favorite  |    Submit date:2021/12/15
Boreholes  Coalindustry  Coalmines  Convolutionalneuralnetworks  Deeplearning  Deepneuralnetworks  Infilldrilling  Learningsystems  Lithology  Multi  tasklearning  Constructionsafety  Detectioninformations  Drillingengineering  Intelligentidentification  Interpretationmodel  Lithologyidentification  Objectidentification  Undergroundcoalmine  
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients 期刊论文
IEEE Journal of Biomedical and Health Informatics, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
Authors:  Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie...Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
Favorite  |    Submit date:2021/12/14
Computerizedtomography  Convolutionalneuralnetworks  Diseases  Forecasting  Hazards  Learningalgorithms  Machinelearning  Semantics  Computedtomographyimages  Concordanceindex  Gastriccancers  High  levelfeatures  Lateralconnections  Overallsurvival  Riskpredictions  Semanticfeatures  Overall survival  gastric cancer  multi-level  CT image  deep learning  
Hierarchical Pooling in Graph Neural Networks to Enhance Classification Performance in Large Datasets 期刊论文
SENSORS, 2021, 卷号: 21, 期号: 18
Authors:  Hai Van Pham;  Dat Hoang Thanh;  Moore, Philip
Favorite  |    Submit date:2021/12/15
knowledge graphs  graph classification  graph neural networks  graph convolutional network  hierarchical graph pooling  FPool  Classification(ofinformation)  Convolutionalneuralnetworks  Deeplearning  Deepneuralnetworks  Largedataset  Learningsystems  Multilayerneuralnetworks  Classificationperformance  Clusterassignment  Dataclassification  Graphneuralnetworks  Graphrepresentation  Inherentcomplexity  Predictionperformance  Redundantparameters  
基于深度学习的武汉市空气污染预测 学位论文
理学学士, 兰州: 兰州大学, 2022
Authors:  于天祥
Favorite  |    Submit date:2023/03/13
PM2.5浓度预测  LSTM  CNN  stacking集成学习  
CNN-based event classification of alpha-decay events in nuclear emulsion 期刊论文
Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2021, 卷号: 989
Authors:  Yoshida, J.;  Ekawa, H.;  Kasagi, A.;  Nakagawa, M.;  Nakazawa, K.;  Saito, N.;  Saito, T.R.;  Taki, M.;  Yoshimoto, M.
Favorite  |    Submit date:2021/01/18
Convolutional neural networks  Decay (organic)  Economic and social effects  Emulsification  Kinetic energy  Kinetics  Nuclear reactions  Photographic emulsions  Statistical tests  Thermonuclear reactions  Alpha-decay events  Discrimination thresholds  Event classification  Human visual inspection  Hyperparameters  Nuclear emulsions  Precision and recall  Standard calibration  Convolutionalneuralnetworks  Decay(organic)  Economicandsocialeffects  Kineticenergy  Nuclearreactions  Photographicemulsions  Statisticaltests  Thermonuclearreactions  Alpha  decayevents  Discriminationthresholds  Eventclassification  Humanvisualinspection  Nuclearemulsions  Precisionandrecall  Standardcalibration  
Attention-Based Multilevel Co-Occurrence Graph Convolutional LSTM for 3-D Action Recognition 期刊论文
IEEE Internet of Things Journal, 2021, 卷号: 8, 期号: 21, 页码: 15990-16001
Authors:  Xu, Shihao;  Rao, Haocong;  Peng, H(彭宏);  Jiang, Xin;  Guo, Yi;  Hu, XP(胡希平);  Hu, B(胡斌)
Favorite  |    Submit date:2021/12/14
Convolution  Convolutionalneuralnetworks  Internetofthings  Musculoskeletalsystem  Patientmonitoring  Co  occurrencefeatures  Co  occurrenceGraph  Convolutionalnetworks  Featureenhancement  Internetofthing(IOT)  Spatialrelationships  Structuralinformation  Surgicalassistance  3-D action recognition  graph convolution  Internet of Medical Things (IoMT)  multilevel co-occurrence (MC)  spatial attention (SA)  
HA-Net: A Lake Water Body Extraction Network Based on Hybrid-Scale Attention and Transfer Learning 期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 20
Authors:  Wang, Zhaobin;  Gao, Xiong;  Zhang, Yaonan
Favorite  |    Submit date:2021/12/15
deep convolutional neural network  remote sensing image  semantic segmentation  tibetan plateau  transfer learning  attention mechanism  Convolution  Convolutionalneuralnetworks  Deepneuralnetworks  Extraction  Imageenhancement  Imagesegmentation  Lakes  Multilayerneuralnetworks  Remotesensing  SemanticWeb  Semantics  Attentionmechanisms  Google+  Lakewaters  LANDSAT  Remotesensingimages  Semanticsegmentation  TibetanPlateau  Transferlearning  Waterrates  Waterbodies  
FS-UNet: Mass segmentation in mammograms using an encoder-decoder architecture with feature strengthening 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2021, 卷号: 137
Authors:  Pi, Jiande;  Qi, Yunliang;  Lou, Meng;  Li, Xiaorong;  Wang, Yiming;  Xu, Chunbo;  Ma, YD(马义德)
Favorite  |    Submit date:2021/12/14
Convolutionalneuralnetworks  Deeplearning  Mammography  Signalencoding  Textures  Xrayscreens  Breastmass  Breastmasssegmentation  Deeplearning  Dilatedconvolution  Encoder  decoderarchitecture  Featurestrengthening  Masssegmentation  Model  basedOPC  Mutualinformations  Segmentationmodels  
MCRNet: Multi-level context refinement network for semantic segmentation in breast ultrasound imaging 期刊论文
NEUROCOMPUTING, 2022, 卷号: 470, 页码: 154-169
Authors:  Louv, Meng;  Meng, Jie;  Qi, Yunliang;  Li, Xiaorong;  Ma, YD(马义德)
Favorite  |    Submit date:2022/04/20
Breast ultrasound imaging  Semantic segmentation  U-shaped networks  Context refinement  Computational efficiency  Convolution  Convolutional neural networks  Decoding  Medical imaging  Network coding  Semantic Web  Semantics  Ultrasonic imaging  Convolutional neural network  Encoders and decoders  Multi-level contexts  Performance  Semantic gap  U-shaped  U-shaped network  Computationalefficiency  Convolutionalneuralnetworks  Medicalimaging  Networkcoding  SemanticWeb  Ultrasonicimaging  Breastultrasoundimaging  Contextrefinement  Convolutionalneuralnetwork  Encodersanddecoders  Multi  levelcontexts  Semanticgap  Semanticsegmentation  U  shaped  shapednetwork