69 citations · 295 across the 55 of their papers we have counts for
8 papers · 1 filter
Real-Time Bus Departure Prediction Using Neural Networks for Smart IoT Public Bus Transit
Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani +1
Bus transit plays a vital role in urban public transportation but often struggles to provide accurate and reliable departure times. This leads to delays, passenger dissatisfaction,…
Expert with Clustering: Hierarchical Online Preference Learning Framework
Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili +2
Emerging mobility systems are increasingly capable of recommending options to mobility users, to guide them towards personalized yet sustainable system outcomes. Even more so than…
Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility
Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani +1
In urban settings, bus transit stands as a significant mode of public transportation, yet faces hurdles in delivering accurate and reliable arrival times. This discrepancy often cu…
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A Purkayastha +3
Anomaly detection is a crucial task in complex distributed systems. A thorough understanding of the requirements and challenges of anomaly detection is pivotal to the security of s…
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
Vinit Katariya, Mohammadreza Baharani, Nichole Morris +2
Vehicle trajectory prediction is essential for enabling safety-critical intelligent transportation systems (ITS) applications used in management and operations. While there have be…
ATCN: Resource-Efficient Processing of Time Series on Edge
Mohammadreza Baharani, Hamed Tabkhi
This paper presents a scalable deep learning model called Agile Temporal Convolutional Network (ATCN) for high-accurate fast classification and time series prediction in resource-c…
Real-time Person Re-identification at the Edge: A Mixed Precision Approach
Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi
A critical part of multi-person multi-camera tracking is person re-identification (re-ID) algorithm, which recognizes and retains identities of all detected unknown people througho…
Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters
Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh +1
With the significant growth of advanced high-frequency power converters, on-line monitoring and active reliability assessment of power electronic devices are extremely crucial. Thi…