Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Yuanzhang Xiao"'
Publikováno v:
IEEE Access, Vol 11, Pp 13058-13066 (2023)
Chronic heart failure, pulmonary hypertension, acute respiratory distress syndrome (ARDS), coronavirus disease (COVID), and kidney failure are leading causes of death in the U.S. and across the globe. The cornerstone for managing these diseases is as
Externí odkaz:
https://doaj.org/article/a7fc8c5ee71f4d159600e4a9a3ad72c3
Autor:
DANIEL, SHIRLEY J.1 sdaniel@hawaii.edu, YUANZHANG XIAO2 yxiao8@hawaii.edu, TING-TSEN YEH3 tingtsen.yeh@lsus.edu
Publikováno v:
Strategic Finance. Oct2022, Vol. 104 Issue 4, p36-43. 8p.
Autor:
Mihaela van der Schaar, Yuanzhang Xiao
Publikováno v:
IEEE Transactions on Smart Grid. 12:4813-4821
We consider a power system with an independent system operator (ISO), and distributed aggregators who have energy storage and purchase energy from the ISO to serve their customers. All the entities in the system are foresighted : each aggregator seek
Publikováno v:
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI).
Publikováno v:
IEEE Transactions on Green Communications and Networking. 5:921-933
Residential demand side management (DSM) is a promising technique in smart grids to improve the power system robustness and to reduce the energy cost. However, the ongoing paradigm shift of computation, such as mobile edge computing for smart home, p
Autor:
Yuanzhang Xiao, Douglas Ellman
Publikováno v:
IEEE Transactions on Smart Grid. 12:1358-1369
We study baseline-based demand response (DR) programs. In such programs, customers get rebates based on how much they reduce electricity consumption during DR events relative to a “baseline,” where this baseline is determined by their consumption
Federated recommendation applies federated learning techniques in recommendation systems to help protect user privacy by exchanging models instead of raw user data between user devices and the central server. Due to the heterogeneity in user's attrib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::340decc4b9a992a6cc0852bbb90cd5e6
The recent popularity of edge devices and Artificial Intelligent of Things (AIoT) has driven a new wave of contextual recommendations, such as location based Point of Interest (PoI) recommendations and computing resource-aware mobile app recommendati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a71dfd97063ff87b9cbf94f23f7e2e68
Publikováno v:
2021 IEEE World AI IoT Congress (AIIoT).
Increasing use of renewable and distributed power generation creates opportunities for customer resources to support power system operations by adjusting power consumption and generation to address grid needs, based on system-wide and local grid cond
Publikováno v:
2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting.
We study the problem of finding the minimum energy beamforming that satisfies the users' signal-to-noise ratio requirements. Traditional transform based beamforming uses heuristics to determine the radiation pattern first, and then calculates the bea