1 citations · 1 across the 8 of their papers we have counts for
8 papers
Multimodal Multiple Federated Feature Construction Method for IoT Environments
Afsaneh Mahanipour, Hana Khamfroush
The fast development of Internet-of-Things (IoT) devices and applications has led to vast data collection, potentially containing irrelevant, noisy, or redundant features that degr…
A Modified SEIR Model for the Spread of COVID-19 Considering Different Vaccine Types
Aram Ansary Ogholbake, Hana Khamfroush
The COVID-19 pandemic has influenced the lives of people globally. In the past year many researchers have proposed different models and approaches to explore in what ways the sprea…
QoS-Aware Placement of Deep Learning Services on the Edge with Multiple Service Implementations
Nathaniel Hudson, Hana Khamfroush, Daniel E. Lucani
Mobile edge computing pushes computationally-intensive services closer to the user to provide reduced delay due to physical proximity. This has led many to consider deploying deep…
Optimal Accuracy-Time Trade-off for Deep Learning Services in Edge Computing Systems
Minoo Hosseinzadeh, Andrew Wachal, Hana Khamfroush +1
With the increasing demand for computationally intensive services like deep learning tasks, emerging distributed computing platforms such as edge computing (EC) systems are becomin…
Automatic Query Optimization for Retrieving Traffic Tweets
Emory Hufbauer, Hana Khamfroush
Twitter, like many social media and data brokering companies, makes their data available through a search API (application programming interface). In addition to filtering results…
Smart Advertisement for Maximal Clicks in Online Social Networks Without User Data
Nathaniel Hudson, Hana Khamfroush, Brent Harrison +1
Click-through rate (CTR) prediction of advertisements on online social network platforms to optimize advertising is of much interest. Prior works build machine learning models that…
Meeting QoS of Users in a Edge to Cloud Platform via Optimally Placing Services and Scheduling Tasks
Matthew Turner, Hana Khamfroush
This paper considers the problem of service placement and task scheduling on a three-tiered edge-to-cloud platform when user requests must be met by a certain deadline. Time-sensit…
On Fundamental Bounds of Failure Identifiability by Boolean Network Tomography
Novella Bartolini, Ting He, Viviana Arrigoni +2
Boolean network tomography is a powerful tool to infer the state (working/failed) of individual nodes from path-level measurements obtained by egde-nodes. We consider the problem o…