Results 31 to 40 of about 824 (40)
Power-aware Scheduler for Many-core Real-time Systems
, 2013 MANY (Many-core programming and resource management for high performance Embedded Systems) project aims to develop a programming environment for many-core embedded systems which would make faster development of applications possible.
Taher Kouhestani, Amirhossein
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Towards Programming Primitives for Hard Real-Time Constraints and Runtime Monitoring in Timed C
The stringent timing requirements of hard real-time systems are typically guaranteed by first estimating safe worst-case execution time (WCET) values for a set of tasks, followed by a schedulability analysis.
Natarajan, Saranya, Broman, David
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, 2018 Capsule network (CapsNet) is a new and promising approach to computer vision. In the small amount of research published so far, it has shown to be good at generalizing complex objects and perform well even when the images are skewed or the objects are ...
Engelin, Martin
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Distributed system for evaluation of strategies in the stock market and the soccer betting industry
, 2013 Development of software and strategies for prices, odds calculation, and risk management in the stock market and the soccer betting industry involves testing functionality using recorded real-world data. This process is called backtesting.
Bazhko, Dzianis
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Sequential Pattern Mining on Electronic Medical Records for Finding Optimal Clinical Pathways
, 2018 Electronic Medical Records (EMRs) are digital versions of paper charts, used to record the treatment of different patients in hospitals. Clinical pathways are used as guidelines for how to treat different diseases, determined by observing outcomes from ...
Edman, Henrik
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Archtecture of distributed real-time systems
, 2013 CRAFTERS (Constraint and Application Driven Framework for Tailoring Embedded Real-time System) project aims to address the problem of uncertainty and heterogeneity in a distributed system by providing seamless, portable connectivity and middleware.
Wing Leung, Cheuk
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, 2012 Given the considerate amounts of research on task-based parallel programming models for maximizing performance, this project tries to go one step further and investigate mul- tiprogrammed many-core systems.
Brorsson, Mats, Varisteas, Georgios
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Towards a Realistic Decentralized Naive Bayeswith Differential Privacy
This is an extended version of our work in [16]. In this paper,we introduce two novel algorithms to collaboratively train Naive Bayesmodels across multiple private data sources: Federated Naive Bayes andGossip Naive Bayes.
Giaretta, Lodovico +3 more
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Fully-Decentralized Training of GNNs using Layer-wise Self-Supervision
In existing literature, GNN training has been performed mostly in centralized, and sometimes federated, settings. In this work, we consider a fully-decentralized data-private scenario, where each node has limited knowledge of the surrounding graph.
Giaretta, Lodovico +1 more
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