Zobrazeno 1 - 10
of 380
pro vyhledávání: '"Hao Zhu"'
Publikováno v:
IEEE/ASME Transactions on Mechatronics. 27:1370-1378
Publikováno v:
IEEE Transactions on Automatic Control. 67:374-381
In this paper, a novel variational Bayesian (VB) adaptive Kalman filter with inaccurate nominal process and measurement noise covariances in the presence of outliers is proposed. The probability density functions of state transition and measurement l
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
With the rapid development of earth observation technology, panchromatic (PAN) and multispectral (MS) images have also become easier to obtain. The multiresolution classification of PAN and MS images as a basic MS image analysis task has become a res
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
In remote sensing images, boundary information plays a crucial role in land-cover segmentation. However, it is a challenging problem that sufficiently extracts complete and sharp boundaries from complex very-high-resolution (VHR) remote sensing image
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 31:4909-4923
This paper presents a novel end-to-end Learned Point Cloud Geometry Compression (a.k.a., Learned-PCGC) system, leveraging stacked Deep Neural Networks (DNN) based Variational AutoEncoder (VAE) to efficiently compress the Point Cloud Geometry (PCG). I
Autor:
David G. Strauss, Yaning Wang, Jane P. F. Bai, Hao Zhu, Justin C. Earp, Jeffry Florian, Rajanikanth Madabushi
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 12, Pp 1479-1484 (2021)
CPT: Pharmacometrics & Systems Pharmacology
CPT: Pharmacometrics & Systems Pharmacology
Quantitative systems pharmacology (QSP) has been proposed as a scientific domain that can enable efficient and informative drug development. During the past several years, there has been a notable increase in the number of regulatory submissions that
Publikováno v:
Information Sciences. 578:435-456
With the widespread use of deep learning methods, more and more classification models based on hyperspectral images (HSI) have been continuously proposed. However, due to the characteristics of high dimensionality and low resolution of HSI, the tradi
Autor:
Shanny Lin, Hao Zhu
Publikováno v:
IEEE Transactions on Smart Grid. 12:5434-5443
Enhancing the spatio-temporal observability of distributed energy resources (DERs) is crucial for achieving secure and efficient operations in distribution grids. This paper puts forth a joint recovery framework for residential loads by leveraging th
Autor:
On-Yee Lo, Hao Zhu, Junhong Zhou, Thomas G. Travison, Natalia Gouskova, Wanting Yu, Lewis A. Lipsitz, Xin Jiang, Brad Manor, Alvaro Pascual-Leone
Publikováno v:
IEEE Internet of Things Journal. 8:15818-15828
Assessments of postural control provide important insights into health. We created a smartphone App-based assessment of standing posture—completed with the phone placed in the user’s pocket—to enable remote monitoring of the function while mini
Autor:
Rajanikanth Madabushi, Daphney Jean, Paul Seo, Yaning Wang, Liang Zhao, Issam Zineh, Hao Zhu, Joseph A. Grillo, Yuching Yang, Xinyuan Zhang, Kimberly Bergman, Nina Isoherranen, Shiew-Mei Huang, Million A. Tegenge, Colleen Kuemmel, Stephen D. Hall, Kunal Naik, Ping Zhao, Jessica Benjamin, Lauren Milligan, Fang Wu
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 11, Pp 1271-1275 (2021)
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 11, Pp 1271-1275 (2021)