12 citations · 13 across the 6 of their papers we have counts for
7 papers
A Clustering-based Framework for Classifying Data Streams
Xuyang Yan, Abdollah Homaifar, Mrinmoy Sarkar +2
The non-stationary nature of data streams strongly challenges traditional machine learning techniques. Although some solutions have been proposed to extend traditional machine lear…
Enabling Content-Centric Device-to-Device Communication in the Millimeter-Wave Band
Niloofar Bahadori, Mahmoud Nabil, Brian Kelley +1
The growth in wireless traffic and mobility of devices have congested the core network significantly. This bottleneck, along with spectrum scarcity, made the conventional cellular…
Evolving Multi-label Classification Rules by Exploiting High-order Label Correlation
Shabnam Nazmi, Xuyang Yan, Abdollah Homaifar +1
In multi-label classification tasks, each problem instance is associated with multiple classes simultaneously. In such settings, the correlation between labels contains valuable in…
Deep Learning with Attention Mechanism for Predicting Driver Intention at Intersection
Abenezer Girma, Seifemichael Amsalu, Abrham Workineh +2
In this paper, a driver's intention prediction near a road intersection is proposed. Our approach uses a deep bidirectional Long Short-Term Memory (LSTM) with an attention mechanis…
Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network
Abenezer Girma, Xuyang Yan, Abdollah Homaifar
Despite advancements in vehicle security systems, over the last decade, auto-theft rates have increased, and cyber-security attacks on internet-connected and autonomous vehicles ar…
Device-to-Device Communications in Millimeter Wave Band: Impact of Beam Alignment Error
Niloofar Bahadori, Nima Namvar, Brian Kelley +1
Exploiting the millimeter wave (mmWave) band has recently attracted considerable attention as a potential solution to widespread deployment of device-to-device (D2D) communication…