539 citations · 941 across the 10 of their papers we have counts for
21 papers
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
Siyuan Liang, Hao Wu
Driven by the ever-increasing requirements of autonomous vehicles, such as traffic monitoring and driving assistant, deep learning-based object detection (DL-OD) has been increasin…
Structural block driven - enhanced convolutional neural representation for relation extraction
Dongsheng Wang, Prayag Tiwari, Sahil Garg +2
In this paper, we propose a novel lightweight relation extraction approach of structural block driven - convolutional neural learning. Specifically, we detect the essential sequent…
Collaborative Coded Computation Offloading: An All-pay Auction Approach
Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg +4
As the amount of data collected for crowdsensing applications increases rapidly due to improved sensing capabilities and the increasing number of Internet of Things (IoT) devices,…
The Shift to 6G Communications: Vision and Requirements
Muhammad Waseem Akhtar, Syed Ali Hassan, Rizwan Ghaffar +3
The sixth-generation (6G) wireless communication network is expected to integrate the terrestrial, aerial, and maritime communications into a robust network which would be more rel…
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach
Yi Liu, Sahil Garg, Jiangtian Nie +4
Since edge device failures (i.e., anomalies) seriously affect the production of industrial products in Industrial IoT (IIoT), accurately and timely detecting anomalies is becoming…
An RNN-Survival Model to Decide Email Send Times
Harvineet Singh, Moumita Sinha, Atanu R. Sinha +2
Email communications are ubiquitous. Firms control send times of emails and thereby the instants at which emails reach recipients (it is assumed email is received instantaneously f…