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Big-data driven intelligent fault diagnosis and prognosis for mechanical systems / / Yaguo Lei, Naipeng Li, Xiang Li
| Big-data driven intelligent fault diagnosis and prognosis for mechanical systems / / Yaguo Lei, Naipeng Li, Xiang Li |
| Autore | Lei Yaguo |
| Pubbl/distr/stampa | Singapore : , : Xi'an Jiaotong University Press : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (292 pages) |
| Disciplina | 005.7 |
| Soggetto topico |
Big data
Fault location (Engineering) Mechanical engineering - Data processing |
| ISBN | 981-16-9131-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- About the Authors -- 1 Introduction and Background -- 1.1 Introduction -- 1.1.1 AI Technologies for Data Processing -- 1.1.2 Big Data-Driven Intelligent Predictive Maintenance -- 1.1.3 Big Data Analytics Platform Practices -- 1.2 Overview of Big Data-Driven PHM -- 1.2.1 Data Acquisition -- 1.2.2 Data Processing -- 1.2.3 Diagnosis -- 1.2.4 Prognosis -- 1.2.5 Maintenance -- 1.3 Preface to Book Chapters -- References -- 2 Conventional Intelligent Fault Diagnosis -- 2.1 Introduction -- 2.2 Typical Neural Network-Based Methods -- 2.2.1 Introduction to Neural Networks -- 2.2.2 Intelligent Diagnosis Using Radial Basis Function Network -- 2.2.3 Intelligent Diagnosis Using Wavelet Neural Network -- 2.2.4 Epilog -- 2.3 Statistical Learning-Based Methods -- 2.3.1 Introduction to Statistical Learning -- 2.3.2 Intelligent Diagnosis Using Support Vector Machine -- 2.3.3 Intelligent Diagnosis Using Relevant Vector Machine -- 2.3.4 Epilog -- 2.4 Conclusions -- References -- 3 Hybrid Intelligent Fault Diagnosis -- 3.1 Introduction -- 3.2 Multiple WKNN Fault Diagnosis -- 3.2.1 Motivation -- 3.2.2 Diagnosis Model Based on Combination of Multiple WKNN -- 3.2.3 Intelligent Diagnosis Case Study of Rolling Element Bearings -- 3.2.4 Epilog -- 3.3 Multiple ANFIS Hybrid Intelligent Fault Diagnosis -- 3.3.1 Motivation -- 3.3.2 Multiple ANFIS Combination with GA -- 3.3.3 Fault Diagnosis Method Based on Multiple ANFIS Combination -- 3.3.4 Intelligent Diagnosis Case of Rolling Element Bearings -- 3.3.5 Epilog -- 3.4 A Multidimensional Hybrid Intelligent Method -- 3.4.1 Motivation -- 3.4.2 Multiple Classifier Combination -- 3.4.3 Diagnosis Method Based on Multiple Classifier Combination -- 3.4.4 Intelligent Diagnosis Case of Gearboxes -- 3.4.5 Epilog -- 3.5 Conclusions -- References -- 4 Deep Transfer Learning-Based Intelligent Fault Diagnosis.
4.1 Introduction -- 4.2 Deep Belief Network for Few-Shot Fault Diagnosis -- 4.2.1 Motivation -- 4.2.2 Deep Belief Network-Based Diagnosis Model with Continual Learning -- 4.2.3 Few-Shot Fault Diagnosis Case of Industrial Robots -- 4.2.4 Epilog -- 4.3 Multi-Layer Adaptation Network for Fault Diagnosis with Unlabeled Data -- 4.3.1 Motivation -- 4.3.2 Multi-Layer Adaptation Network-Based Diagnosis Model -- 4.3.3 Fault Diagnosis Case of Locomotive Bearings with Unlabeled Data -- 4.3.4 Epilog -- 4.4 Deep Partial Adaptation Network for Domain-Asymmetric Fault Diagnosis -- 4.4.1 Motivation -- 4.4.2 Deep Partial Transfer Learning Net-Based Diagnosis Model -- 4.4.3 Partial Transfer Diagnosis of Gearboxes with Domain Asymmetry -- 4.4.4 Epilog -- 4.5 Instance-Level Weighted Adversarial Learning for Open-Set Fault Diagnosis -- 4.5.1 Motivation -- 4.5.2 Instance-Level Weighted Adversarial Learning-Based Diagnosis Model -- 4.5.3 Fault Diagnosis Case of Rolling Bearing Datasets -- 4.5.4 Epilog -- 4.6 Conclusions -- References -- 5 Data-Driven RUL Prediction -- 5.1 Introduction -- 5.2 Deep Separable Convolutional Neural Network-Based RUL Prediction -- 5.2.1 Motivation -- 5.2.2 Deep Separable Convolutional Network -- 5.2.3 Architecture of DSCN -- 5.2.4 RUL Prediction Case of Accelerated Degradation Experiments of Rolling Element Bearings -- 5.2.5 Epilog -- 5.3 Recurrent Convolutional Neural Network-Based RUL Prediction -- 5.3.1 Motivation -- 5.3.2 Recurrent Convolutional Neural Network -- 5.3.3 Architecture of RCNN -- 5.3.4 RUL Prediction Case Study of FEMTO-ST Accelerated Degradation Tests of Rolling Element Bearings -- 5.3.5 Epilog -- 5.4 Multi-scale Convolutional Attention Network-Based RUL Prediction -- 5.4.1 Motivation -- 5.4.2 Multi-scale Convolutional Attention Network -- 5.4.3 Architecture of MSCAN. 5.4.4 RUL Prediction Case of a Life Testing of Milling Cutters -- 5.4.5 Epilog -- 5.5 Conclusions -- References -- 6 Data-Model Fusion RUL Prediction -- 6.1 Introduction -- 6.2 RUL Prediction with Random Fluctuation Variability -- 6.2.1 Motivation -- 6.2.2 RUL Prediction Considering Random Fluctuation Variability -- 6.2.3 RUL Prediction Case of FEMTO-ST Accelerated Degradation Tests of Rolling Element Bearings -- 6.2.4 Epilog -- 6.3 RUL Prediction with Unit-to-Unit Variability -- 6.3.1 Motivation -- 6.3.2 RUL Prediction Model Considering Unit-to-Unit Variability -- 6.3.3 RUL Prediction Case of Turbofan Engine Degradation Dataset -- 6.3.4 Epilog -- 6.4 RUL Prediction with Time-Varying Operational Conditions -- 6.4.1 Motivation -- 6.4.2 RUL Prediction Model Considering Time-Varying Operational Conditions -- 6.4.3 RUL Prediction Case of Accelerated Degradation Experiments of Thrusting Bearings -- 6.4.4 Epilog -- 6.5 RUL Prediction with Dependent Competing Failure Processes -- 6.5.1 Motivation -- 6.5.2 RUL Prediction Model Considering Dependent Competing Failure Processes -- 6.5.3 RUL Prediction Case of Accelerated Degradation Experiments of Rolling Element Bearings -- 6.5.4 Epilog -- 6.6 Conclusions -- References -- Glossary. |
| Record Nr. | UNINA-9910627272303321 |
Lei Yaguo
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| Singapore : , : Xi'an Jiaotong University Press : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Contemporary Logistics in China [[electronic resource] ] : Interconnective Channels and Collaborative Sharing / / edited by Xiang Li, Shao-ju Lee, Bing-lian Liu, Ling Wang
| Contemporary Logistics in China [[electronic resource] ] : Interconnective Channels and Collaborative Sharing / / edited by Xiang Li, Shao-ju Lee, Bing-lian Liu, Ling Wang |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (V, 212 p. 46 illus., 6 illus. in color.) |
| Disciplina | 658.5 |
| Collana | Current Chinese Economic Report Series |
| Soggetto topico |
Business logistics
International business enterprises Asia—Economic conditions Logistics Supply Chain Management Asian Business |
| ISBN | 981-13-7816-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Development of China’s Logistics Market -- Chapter 2 Logistics Facilities and Technological Development -- Chapter 3 Development of Transportation Logistics in China -- Chapter 4 Development Status of China's Manufacturing Logistics -- Chapter 5 Development of Commerce Logistics in China -- Chapter 6 Development of Agricultural Products Logistics in China -- Chapter 7 Service Models and Innovation of China's Highway Freight Platforms -- Chapter 8 Development and Innovation of the Belt and Road Cross-Border Logistics Service System -- Chapter 9 China's Logistics Development and Prospect under the Sharing Economy. |
| Record Nr. | UNINA-9910350208603321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Contemporary Logistics in China : Assimilation and Innovation / / edited by Bing-lian Liu, Shao-ju Lee, Ling Wang, Ya Xu, Xiang Li
| Contemporary Logistics in China : Assimilation and Innovation / / edited by Bing-lian Liu, Shao-ju Lee, Ling Wang, Ya Xu, Xiang Li |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (235 p.) |
| Disciplina | HD38.5 |
| Collana | Current Chinese Economic Report Series |
| Soggetto topico |
Production management
Regional economics Spatial economics Industrial organization Operations Management Regional/Spatial Science Industrial Organization |
| ISBN | 3-642-55282-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | China’s Logistic Development Environment -- Development of China’s Logistics Market -- Logistics Facilities and Technological Development -- Logistics Development in Zhejiang -- Logistics Development in Fujian -- Development of Logistics in Shaanxi Province -- Development of Apparel Logistics in China -- Development of China's Port Logistics -- Logistics Service Innovation of China -- Development of China's Logistics Financial Service -- Operations Mode and Development Trend of Online Shopping Logistics in China. |
| Record Nr. | UNINA-9910298168403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Contemporary Logistics in China : Consolidation and Deepening / / edited by Bing-lian Liu, Shao-ju Lee, Ling Wang, Xiang Li, Jian-hua Xiao
| Contemporary Logistics in China : Consolidation and Deepening / / edited by Bing-lian Liu, Shao-ju Lee, Ling Wang, Xiang Li, Jian-hua Xiao |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (244 p.) |
| Disciplina |
658.5
658.500951 |
| Collana | Current Chinese Economic Report Series |
| Soggetto topico |
Production management
Operations Management |
| ISBN | 3-642-34525-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | China’s Logistic Development Environment -- Development of China’s Logistics Market -- Logistics Facilities and Technological Development -- Policies and Plans on China’s Logistics Development -- Logistics Development of Pearl River Delta -- Logistics Development of Wuhan Metropolitan Cluster -- Logistics Development of Inner Mongolia Autonomous Region -- Development of E-Commerce Logistics in China -- Development of Chain Business Logistics in China -- Development of Medicine Logistics in China -- China’s Logistics Cost – Status and Analysis -- Coordinated Development of Manufacturing and Logistics in China -- Development of Cross-border Logistics System in Inland China. |
| Record Nr. | UNINA-9910298550803321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops [[electronic resource] ] : MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings / / edited by Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
| Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops [[electronic resource] ] : MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings / / edited by Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles |
| Autore | Woo Jonghye |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (394 pages) |
| Disciplina | 616.0754 |
| Altri autori (Persone) |
HeringAlessa
SilvaWilson LiXiang FuHuazhu LiuXiaofeng XingFangxu PurushothamSanjay MathaiTejas S MukherjeePritam |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-47425-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Computer Vision -- Machine Learning -- Medical Imaging -- Explainability -- Privacy-Preserving Learning -- Federated Learning -- Distributed Learning -- Dermatology -- Skin -- Radiology -- Health Informatics -- Radiomics -- Video -- Time Series Data -- Physiological Data -- Longitudinal Data -- Data Fusion -- Motion Tracking. |
| Record Nr. | UNINA-9910831005403321 |
|
Woo Jonghye
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops [[electronic resource] ] : MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings / / edited by Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles
| Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops [[electronic resource] ] : MTSAIL 2023, LEAF 2023, AI4Treat 2023, MMMI 2023, REMIA 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8–12, 2023, Proceedings / / edited by Jonghye Woo, Alessa Hering, Wilson Silva, Xiang Li, Huazhu Fu, Xiaofeng Liu, Fangxu Xing, Sanjay Purushotham, Tejas S. Mathai, Pritam Mukherjee, Max De Grauw, Regina Beets Tan, Valentina Corbetta, Elmar Kotter, Mauricio Reyes, Christian F. Baumgartner, Quanzheng Li, Richard Leahy, Bin Dong, Hao Chen, Yuankai Huo, Jinglei Lv, Xinxing Xu, Xiaomeng Li, Dwarikanath Mahapatra, Li Cheng, Caroline Petitjean, Benoît Presles |
| Autore | Woo Jonghye |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (394 pages) |
| Disciplina | 616.0754 |
| Altri autori (Persone) |
HeringAlessa
SilvaWilson LiXiang FuHuazhu LiuXiaofeng XingFangxu PurushothamSanjay MathaiTejas S MukherjeePritam |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-031-47425-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence -- Computer Vision -- Machine Learning -- Medical Imaging -- Explainability -- Privacy-Preserving Learning -- Federated Learning -- Distributed Learning -- Dermatology -- Skin -- Radiology -- Health Informatics -- Radiomics -- Video -- Time Series Data -- Physiological Data -- Longitudinal Data -- Data Fusion -- Motion Tracking. |
| Record Nr. | UNISA-996585471503316 |
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Woo Jonghye
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Multimodal Learning for Clinical Decision Support [[electronic resource] ] : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / / edited by Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, Hongzhi Wang
| Multimodal Learning for Clinical Decision Support [[electronic resource] ] : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / / edited by Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, Hongzhi Wang |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (125 pages) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Machine learning Database management Social sciences - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Database Management Computer Application in Social and Behavioral Sciences |
| ISBN | 3-030-89847-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data -- Multi-Scale Hybrid Transformer Networks: Application to Prostate Disease Classification -- Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support -- A Federated Multigraph Integration Approach for Connectional Brain Template Learning -- SAMA: Spatially-Aware Multimodal Network with Attention for Early Lung Cancer Diagnosis -- Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT -- Feature Selection for Privileged Modalities in Disease Classification -- Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images -- Structure and Feature based Graph U-Net for Early Alzheimer's Disease Prediction -- A Method for Predicting Alzheimer's Disease based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. |
| Record Nr. | UNISA-996464439703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Multimodal Learning for Clinical Decision Support : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / / edited by Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, Hongzhi Wang
| Multimodal Learning for Clinical Decision Support : 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings / / edited by Tanveer Syeda-Mahmood, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard Leahy, Bin Dong, Hongzhi Wang |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (125 pages) |
| Disciplina | 616.07540285 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Image processing - Digital techniques
Computer vision Machine learning Database management Social sciences - Data processing Computer Imaging, Vision, Pattern Recognition and Graphics Machine Learning Database Management Computer Application in Social and Behavioral Sciences |
| ISBN | 3-030-89847-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data -- Multi-Scale Hybrid Transformer Networks: Application to Prostate Disease Classification -- Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support -- A Federated Multigraph Integration Approach for Connectional Brain Template Learning -- SAMA: Spatially-Aware Multimodal Network with Attention for Early Lung Cancer Diagnosis -- Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT -- Feature Selection for Privileged Modalities in Disease Classification -- Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images -- Structure and Feature based Graph U-Net for Early Alzheimer's Disease Prediction -- A Method for Predicting Alzheimer's Disease based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. |
| Record Nr. | UNINA-9910506376203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Multiscale Multimodal Medical Imaging [[electronic resource] ] : First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Quanzheng Li, Richard Leahy, Bin Dong, Xiang Li
| Multiscale Multimodal Medical Imaging [[electronic resource] ] : First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Quanzheng Li, Richard Leahy, Bin Dong, Xiang Li |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (x, 108 pages) : illustrations |
| Disciplina | 616.0754028 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Pattern recognition Image Processing and Computer Vision Machine Learning Pattern Recognition |
| ISBN | 3-030-37969-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-Modal Image Prediction via Spatial Hybrid U-Net -- Automatic Segmentation of Liver CT Image Based on Dense Pyramid Network -- OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images -- Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data -- Feature Pyramid based Attention for Cervical Image Classification -- Single-scan Dual-tracer Separation Network Based on Pre-trained GRU -- PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation -- Automated Classification of Arterioles and Venules for Retina Fundus Images using Dual Deeply-Supervised Network -- Liver Segmentation from Multimodal Images using HED-Mask R-CNN -- aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection -- Speckle Noise Removal in Ultrasound Images Using A Deep Convolutional Neural Network and A Specially Designed Loss Function -- Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video -- U-Net Training with Instance-Layer Normalization. |
| Record Nr. | UNISA-996418294603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Multiscale Multimodal Medical Imaging : First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Quanzheng Li, Richard Leahy, Bin Dong, Xiang Li
| Multiscale Multimodal Medical Imaging : First International Workshop, MMMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings / / edited by Quanzheng Li, Richard Leahy, Bin Dong, Xiang Li |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (x, 108 pages) : illustrations |
| Disciplina |
616.0754028
616.0754 (edition:23) |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Optical data processing
Machine learning Pattern recognition Image Processing and Computer Vision Machine Learning Pattern Recognition |
| ISBN | 3-030-37969-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multi-Modal Image Prediction via Spatial Hybrid U-Net -- Automatic Segmentation of Liver CT Image Based on Dense Pyramid Network -- OctopusNet: A Deep Learning Segmentation Network for Multi-modal Medical Images -- Neural Architecture Search for Optimizing Deep Belief Network Models of fMRI Data -- Feature Pyramid based Attention for Cervical Image Classification -- Single-scan Dual-tracer Separation Network Based on Pre-trained GRU -- PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation -- Automated Classification of Arterioles and Venules for Retina Fundus Images using Dual Deeply-Supervised Network -- Liver Segmentation from Multimodal Images using HED-Mask R-CNN -- aEEG Signal Analysis with Ensemble Learning for Newborn Seizure Detection -- Speckle Noise Removal in Ultrasound Images Using A Deep Convolutional Neural Network and A Specially Designed Loss Function -- Automatic Sinus Surgery Skill Assessment Based on Instrument Segmentation and Tracking in Endoscopic Video -- U-Net Training with Instance-Layer Normalization. |
| Record Nr. | UNINA-9910366656503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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