A
Albert Y. Zomaya
Researcher at University of Sydney
Publications - 1020
Citations - 30827
Albert Y. Zomaya is an academic researcher from University of Sydney. The author has contributed to research in topics: Cloud computing & Scheduling (computing). The author has an hindex of 75, co-authored 946 publications receiving 24637 citations. Previous affiliations of Albert Y. Zomaya include University of Alabama & University of Sheffield.
Papers
More filters
BookDOI
Handbook of Large-Scale Distributed Computing in Smart Healthcare
TL;DR: The contemporary research efforts mostly focus on health information delivery methods to ensure the information exchange within a single BAN, and the efforts have been very limited in interconnecting several BANs remotely through the servers.
Journal ArticleDOI
Safeguard Network Slicing in 5G: A Learning Augmented Optimization Approach
TL;DR: A learning augmented optimization approach with deep learning and Lyapunov stability theories enables the system to learn a safe slicing solution from both historical records and run-time observations, and proves that the proposed solution is always feasible and nearly optimal, up to a constant additive factor.
Journal ArticleDOI
DomNet: Protein Domain Boundary Prediction Using Enhanced General Regression Network and New Profiles
TL;DR: In this article, the authors proposed a new machine learning based domain predictor named DomNet that can show a more accurate and stable predictive performance than the existing state-of-the-art models.
Journal ArticleDOI
A control and decision system for smart buildings using wireless sensor and actuator networks
Claudio M. de Farias,Henrique Soares,Luci Pirmez,Flavia C. Delicato,Igor Leão dos Santos,Luiz Fernando Rust da Costa Carmo,José Neuman de Souza,Albert Y. Zomaya,Mischa Dohler +8 more
TL;DR: CONDE is presented, a decentralised CONtrol and DEcision-making system for smart building applications using WSANs and shows gains in terms of the following: response time; system efficiency; and energy savings from the network and the building.
Journal ArticleDOI
A Continuous Change Detection Mechanism to Identify Anomalies in ECG Signals for WBAN-Based Healthcare Environments
Farrukh Aslam Khan,Nur Al Hasan Haldar,Aftab Ali,Mohsin Iftikhar,Tanveer A. Zia,Albert Y. Zomaya +5 more
TL;DR: A centralized approach for the detection of abnormalities, as well as intrusions, such as forgery, insertions, and modifications in the ECG data is presented.