Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Chun-Nam Yu"'
Publikováno v:
ACS Nano. 15:9764-9774
Advancing continuous health monitoring beyond vital signs to biochemistry will revolutionize personalized medicine. Herein, we report a biosensing platform to achieve remote biochemical monitoring using microparticle-based biosensors and optical cohe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c7211b297ea452df011857f6551ea82
https://doi.org/10.1021/acsnano.1c00497
https://doi.org/10.1021/acsnano.1c00497
Autor:
Gil Zussman, Yousef Abdelmalek, Yigal Bejerano, Chun-Nam Yu, Varun Gupta, Craig Gutterman, Chandru Raman, Tomas Young, Hugo Infante
Publikováno v:
IEEE/ACM Transactions on Networking. 27:258-271
LTE evolved Multimedia Broadcast/Multicast Service (eMBMS) is an attractive solution for video delivery to very large groups in crowded venues. However, the deployment and management of eMBMS systems are challenging, due to the lack of real-time feed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6958e971eab2ba06716353b29bf6848b
https://doi.org/10.1109/tnet.2018.2889742
https://doi.org/10.1109/tnet.2018.2889742
Advancing continuous health monitoring beyond vital signs to biochemistry will revolutionize personalized medicine. Herein, we report a novel platform to achieve remote biochemical monitoring using microparticle-based biosensors and optical coherence
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1009760d36fc5951b266dfc15c1e884c
https://doi.org/10.1101/2020.12.21.422771
https://doi.org/10.1101/2020.12.21.422771
Publikováno v:
2020 IEEE Photonics Conference (IPC).
Microparticle biosensors embedded in 3D tissue-mimics were spatiotemporally monitored in a completely automated pipeline using deep learning. Localization and estimation of microparticle response from OCT imaging was achieved using 3D convolutional n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8ec1d1456a4375dce030822b08330d5
https://doi.org/10.1109/ipc47351.2020.9252523
https://doi.org/10.1109/ipc47351.2020.9252523
Publikováno v:
IEEE Transactions on Smart Grid. :1-11
With the gradual deployment of smart meters in many cities around the world, new opportunities arise in reducing energy usage and improving consumers’ information and control on their electricity consumption. Central to the provision of these newer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6ffd1dc7840f74d90f5f038cb12ab51
https://doi.org/10.1109/tsg.2015.2513900
https://doi.org/10.1109/tsg.2015.2513900
Publikováno v:
ICDAR
We present a method of extracting figures and images from the pages of scanned documents, especially from technical research articles. Our approach is novel in two key ways. First, we treat this as a computer vision problem, and train convolutional n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04cba1ba352f1236eb9a630ddc7cbefa
https://doi.org/10.1109/icdar.2017.134
https://doi.org/10.1109/icdar.2017.134
Publikováno v:
Bell Labs Technical Journal. 18:135-158
Data analytics in smart grids can be leveraged to channel the data downpour from individual meters into knowledge valuable to electric power utilities and end-consumers. Short-term load forecasting (STLF) can address issues vital to a utility but it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f566c86c73bbdb87a9e3c9611389aaa1
https://doi.org/10.1002/bltj.21650
https://doi.org/10.1002/bltj.21650
Publikováno v:
Experimental Algorithms ISBN: 9783319388502
SEA
SEA
Estimating statistical information about the most recent parts of a stream is an important problem in network and cloud monitoring. Modern cloud infrastructures generate in high volume and high velocity various measurements on CPU, memory and storage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e7297fa7c8145b9279bc42ebb901980
https://doi.org/10.1007/978-3-319-38851-9_25
https://doi.org/10.1007/978-3-319-38851-9_25
Publikováno v:
Communications of the ACM. 52:97-104
Machine Learning today offers a broad repertoire of methods for classification and regression. But what if we need to predict complex objects like trees, orderings, or alignments? Such problems arise naturally in natural language processing, search e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::661c24737f1247ed09259371df0dcbb6
https://doi.org/10.1145/1592761.1592783
https://doi.org/10.1145/1592761.1592783
Autor:
Chun-Nam Yu, Thorsten Joachims
Publikováno v:
ECML/PKDD (1)
We explore an algorithm for training SVMs with Kernels that can represent the learned rule using arbitrary basis vectors, not just the support vectors (SVs) from the training set. This results in two benefits. First, the added flexibility makes it po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f317c527c4effb022cdd0f22736cf127
https://doi.org/10.1007/s10994-009-5126-6
https://doi.org/10.1007/s10994-009-5126-6