Search Results for author:
Found 11 papers, 0 papers with code
Service Discovery in Social Internet of Things using Graph Neural Networks
Internet-of-Things (IoT) networks intelligently connect thousands of physical entities to provide various services for the community.
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification
Driver behavior profiling is one of the main issues in the insurance industries and fleet management, thus being able to classify the driver behavior with low-cost mobile applications remains in the spotlight of autonomous driving.
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
It is also shown that compared to the leader-based strategy, the platform-based strategy recruits a more skilled team but with lower SN relationships and higher cost.
Topic Modeling and Progression of American Digital News Media During the Onset of the COVID-19 Pandemic
This large volume of information is difficult to consume by the audience in a reasonable amount of time.
Elevated LiDAR Placement under Energy and Throughput Capacity Constraints
Elevated LiDAR (ELiD) has the potential to hasten the deployment of Autonomous Vehicles (AV), as ELiD can reduce energy expenditures associated with AVs, and can also be utilized for other intelligent Transportation Systems applications such as urban 3D mapping.
A Generative Graph Method to Solve the Travelling Salesman Problem
The Travelling Salesman Problem (TSP) is a challenging graph task in combinatorial optimization that requires reasoning about both local node neighborhoods and global graph structure.
A Photo-Based Mobile Crowdsourcing Framework for Event Reporting
Mobile Crowdsourcing (MCS) photo-based is an arising field of interest and a trending topic in the domain of ubiquitous computing.
Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting
Modern urbanization is demanding smarter technologies to improve a variety of applications in intelligent transportation systems to relieve the increasing amount of vehicular traffic congestion and incidents.
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
In this paper, we propose two automated text processing frameworks specifically designed to analyze online reviews.
Scalable and Secure Architecture for Distributed IoT Systems
In this paper, we propose to improve the IoT architecture with additional security features using Artificial Intelligence (AI) and blockchain technology.
Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach
In this paper, we propose an autonomous UAV path planning framework using deep reinforcement learning approach.
