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Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation

Chong Wang, Xin Qiang, Menghui Xu, Tao Wu
2022 Symmetry  
To this end, the mathematical models for uncertainty quantification are firstly reviewed, and theories and advances on probabilistic, non-probabilistic and hybrid ones are discussed.  ...  Thirdly, several popular single surrogate models and novel hybrid techniques are reviewed, together with some general criteria for accuracy evaluation.  ...  Non-Probabilistic Models Probabilistic approaches have offered a stable framework for uncertainty analysis, with the premise that sufficient experimental samples are available to construct the precise  ... 
doi:10.3390/sym14061219 fatcat:ofouvrkeiffgpltkm5dp5khyeu

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

Soumya Ghose, Arnau Oliver, Robert Martí, Xavier Lladó, Joan C. Vilanova, Jordi Freixenet, Jhimli Mitra, Désiré Sidibé, Fabrice Meriaudeau
2012 Computer Methods and Programs in Biomedicine  
This article reviews the methods developed for prostate gland segmentation TRUS, MR and CT images, the three primary imaging modalities that aids prostate cancer diagnosis and treatment.  ...  Finally, a discussion on choosing the most appropriate segmentation strategy for a given imaging modality is provided.  ...  with more reliability.  ... 
doi:10.1016/j.cmpb.2012.04.006 pmid:22739209 fatcat:7hau5khr2bfq3iv2cadnytsg4a

2020 Index IEEE Transactions on Vehicular Technology Vol. 69

2020 IEEE Transactions on Vehicular Technology  
+ Check author entry for coauthors ami-mFading Channels With Integer and Non-Integerm; TVT March 2020 2785-2801 Hoang, T.M., Tran, X.N., Nguyen, B.C., and Dung, L.T., On the Performance of MIMO Full-Duplex  ...  Relaying System With SWIPT Under Outdated CSI; TVT Dec. 2020 15580-15593 Hodtani, G.A., see Gholami, R., TVT Sept. 2020 9938-9950 Hoki, K., see Kawakami, T., TVT Dec. 2020 16168-16172 Hong, C.,  ...  Deep Active Learning.  ... 
doi:10.1109/tvt.2021.3055470 fatcat:536l4pgnufhixneoa3a3dibdma

2020 Index IEEE Robotics and Automation Letters Vol. 5

2020 IEEE Robotics and Automation Letters  
., +, LRA Jan. 2020 135-142 Multi-Robot Active Sensing and Environmental Model Learning With Distributed Gaussian Process.  ...  ., +, LRA April 2020 3548-3555 Multi-Robot Active Sensing and Environmental Model Learning With Distributed Gaussian Process.  ... 
doi:10.1109/lra.2020.3032821 fatcat:qrnouccm7jb47ipq6w3erf3cja

Video-Based People Tracking [chapter]

Marcus A. Brubaker, Leonid Sigal, David J. Fleet
2010 Handbook of Ambient Intelligence and Smart Environments  
Vision-based human pose tracking promises to be a key enabling technology for myriad applications, including the analysis of human activities for perceptive environments and novel man-machine interfaces  ...  The estimation of 3D human pose is currently possible in constrained situations, for example with multiple cameras, with little occlusion or confounding background clutter, or with restricted types of  ...  Multi-modal mappings have been formulated in a probabilistic setting, where one explicitly models multi-modal conditional distributions, p(s|z,Θ ), where Θ are parameters of the mapping, learned by maximizing  ... 
doi:10.1007/978-0-387-93808-0_3 fatcat:nfdnqncpk5eonihklplpeu2tvy

Automated Detection and Screening of Traumatic Brain Injury (TBI) Using Computed Tomography Images: A Comprehensive Review and Future Perspectives

Vidhya V., Anjan Gudigar, U. Raghavendra, Ajay Hegde, Girish R. Menon, Filippo Molinari, Edward J. Ciaccio, U. Rajendra Acharya
2021 International Journal of Environmental Research and Public Health  
In this paper, a systematic review of prevailing CAD systems for the detection of hematoma, raised ICP, and MLS in non-contrast axial CT brain images is presented.  ...  We also suggest future research to enhance the performance of CAD for early and accurate TBI diagnosis.  ...  Acknowledgments: The authors would like to thank the Manipal Academy of Higher Education (MAHE) for providing the required facility to carry out this research.  ... 
doi:10.3390/ijerph18126499 pmid:34208596 pmcid:PMC8296416 fatcat:6xikhm22rvh7vb7sberifgy6ym

2019 Index IEEE Photonics Journal Vol. 11

2019 IEEE Photonics Journal  
., +, JPHOT Feb. 2019 7900410 On the Performance Analysis of Decode-and-Forward Multi-Hop Hybrid FSO/RF Systems With Hard-Switching Configuration.  ...  ., +, JPHOT Dec. 2019 8201316 On the Performance Analysis of Decode-and-Forward Multi-Hop Hybrid FSO/RF Systems With Hard-Switching Configuration.  ... 
doi:10.1109/jphot.2020.2969544 fatcat:i2xladbx5fff7fhlgng2n4nc3e

2019-2020 Index IEEE Transactions on Industrial Electronics Vol. 67

2020 IEEE transactions on industrial electronics (1982. Print)  
., Novel Topologies of Power Electronics Converter as Active Magnetic Bearing Drive; TIE Feb. 2020 950-959 Jiang, D., see Chen, J., TIE Aug. 2020 6215-6226 Jiang, F., Pourpanah, F., and Hao, Q., Design  ...  Two-Cell Diesel-Engine SCR Systems via a Dual Time-Scale Unscented Kalman Filter; TIE Jan. 2020 442-450 Jiang, K., Yan, F., and Zhang, H., Data-Driven Modeling and UFIR-Based Out-let NO x Estimation  ...  A New Hybrid Model for Electromechanical Characteristic Analysis Under SISC in Synchronous Generators.  ... 
doi:10.1109/tie.2020.3045338 fatcat:gljm7ngg3fakvmnfswcbb5vwiu

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., +, JSTARS Dec. 2014 4869-4878 A New Learning Method for Continuous Hidden Markov Models for Subsurface Landmine Detection in Ground Penetrating Radar.  ...  ., +, JSTARS Aug. 2014 3491-3501 A Neural Approach Under Active Learning Mode for Change Detection in Remotely Sensed Images.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea
2009 Medical Image Analysis  
We structure our analysis along three axes: models, features and extraction schemes.  ...  In this paper, we review state-of-the-art literature on vascular segmentation, with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA).  ...  Acknowledgement The authors would like to thank the reviewers for their constructive and thoughtful comments.  ... 
doi:10.1016/j.media.2009.07.011 pmid:19818675 fatcat:rroixlliubb6nfmvlhahdqtniq

Automatic Detection of Diabetic Retinopathy: A Review on Datasets, Methods and Evaluation Metrics

Muhammad Mateen, Junhao Wen, Mehdi Hassan, Nasrullah Nasrullah, Song Sun, Shaukat Hayat
2020 IEEE Access  
This paper presents a detailed review of the detection of DR with three major aspects; retinal datasets, DR detection methods, and performance evaluation metrics.  ...  INDEX TERMS Artificial intelligence, deep learning, diabetic retinopathy, fundus images, machine learning, ophthalmology. 48784 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  [93] introduced deep learning-based methods in image analysis. The presented model helped in the forensic context for the analysis of hyper spectral imaging.  ... 
doi:10.1109/access.2020.2980055 fatcat:7gbkdxwyonb5bnao3yhs4us7sm

Semantic Recognition of Human-Object Interactions via Gaussian-based Elliptical Modelling and Pixel-Level Labeling

Nida Khalid, Yazeed Yasin Ghadi, Munkhjargal Gochoo, Ahmad Jalal, Kibum Kim
2021 IEEE Access  
First of all, the human is represented by non-overlapping or partially overlapping circles . Through these circles, ellipsoidal fitting within the boundary is initiated.  ...  Experiments performed on six daily life activities show a better recognition rate than many state-of the art methods.  ...  In future, we plan to investigate new features to work on multi-human and multi-object-based systems. Furthermore, we would like to work on more complex scenarios for human action recognition.  ... 
doi:10.1109/access.2021.3101716 fatcat:mdh6y5kkfrgr3k4ikabzxqk54e

Program

2019 2019 International Conference on Control, Automation and Information Sciences (ICCAIS)  
with the standard average consensus for fusing cardinalities, serves super for multi-sensor GM-PHD fusion.  ...  Then, combined with the non-linear measurement model, a tracking algorithm based on the extended Kalman (EK) generalized labeled multi-Bernoulli (GLMB) filter is proposed for multi-target tracking in 3D  ...  In our proposed framework, the state detection of the elevator door is first implemented by an improved ViBe algorithm; afterwards, a trained deep learning model, i.e., an SSD_MobileNet model, is utilized  ... 
doi:10.1109/iccais46528.2019.9074650 fatcat:f3libdixzvez3kaeyb5dubekrq

Traditional and recent approaches in background modeling for foreground detection: An overview

Thierry Bouwmans
2014 Computer Science Review  
Then, we conclude with several promising directions for future research.  ...  A B S T R A C T Background modeling for foreground detection is often used in different applications to model the background and then detect the moving objects in the scene like in video surveillance.  ...  Acknowledgments I would like to acknowledge Megan Cook for her help in proofreading this paper.  ... 
doi:10.1016/j.cosrev.2014.04.001 fatcat:wccwuwltk5fr7lsgmsu5qbxclm

2012 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 50

2012 IEEE Transactions on Geoscience and Remote Sensing  
., +, TGRS May 2012 1897-1909 Covariance analysis Active Learning Methods for Biophysical Parameter Estimation.  ...  ., +, TGRS July 2012 2880-2888 Active Learning Methods for Biophysical Parameter Estimation.  ...  Radar resolution A Novel Method for Imaging of Group Targets Moving in a Formation. Bai, X., +, TGRS Jan. 2012  ... 
doi:10.1109/tgrs.2012.2229656 fatcat:hjrotpfsqzhxlnnme27ftv33cu
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