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08/30/2023
Learning the References of Online Model Predictive Control for Urban Self-Driving
In this work, we propose a novel learning-based online model predictive ...
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03/07/2023
Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
Lane change in dense traffic is considered a challenging problem that ty...
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02/28/2023
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Medical anomalous data normally contains fine-grained instance-wise addi...
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06/06/2022
A Hybrid Artificial Neural Network for Task Offloading in Mobile Edge Computing
Edge Computing (EC) is about remodeling the way data is handled, process...
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05/25/2022
Service Discovery in Social Internet of Things using Graph Neural Networks
Internet-of-Things (IoT) networks intelligently connect thousands of phy...
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02/01/2022
A Machine Learning Smartphone-based Sensing for Driver Behavior Classification
Driver behavior profiling is one of the main issues in the insurance ind...
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06/01/2021
Low Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks
Collaborative Mobile crowdsourcing (CMCS) allows entities, e.g., local a...
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04/12/2021
Towards Collaborative Mobile Crowdsourcing
Mobile Crowdsourcing (MC) is an effective way of engaging large groups o...
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08/17/2020
An Improved Dilated Convolutional Network for Herd Counting in Crowded Scenes
Crowd management technologies that leverage computer vision are widespre...
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07/09/2020
A Generative Graph Method to Solve the Travelling Salesman Problem
The Travelling Salesman Problem (TSP) is a challenging graph task in com...
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07/08/2020
Graph Neural Networks-based Clustering for Social Internet of Things
In this paper, we propose a machine learning process for clustering larg...
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04/28/2020
A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing
Mobile Crowdsourcing (MCS) is the generalized act of outsourcing sensing...
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04/28/2020
A Photo-Based Mobile Crowdsourcing Framework for Event Reporting
Mobile Crowdsourcing (MCS) photo-based is an arising field of interest a...
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04/28/2020
A Photo-Based Mobile Crowdsourcing Frameworkfor Event Reporting
Mobile Crowdsourcing (MCS) photo-based is an arising field of interest a...
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04/24/2020
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
The wide spread of mobile devices has enabled a new paradigm of innovati...
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04/21/2020
Word Embedding-based Text Processing for Comprehensive Summarization and Distinct Information Extraction
In this paper, we propose two automated text processing frameworks speci...
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04/21/2020
Leveraging Personal Navigation Assistant Systems Using Automated Social Media Traffic Reporting
Modern urbanization is demanding smarter technologies to improve a varie...
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04/20/2020
Scalable and Secure Architecture for Distributed IoT Systems
Internet-of-things (IoT) is perpetually revolutionizing our daily life a...
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03/21/2020
Autonomous UAV Navigation: A DDPG-based Deep Reinforcement Learning Approach
In this paper, we propose an autonomous UAV path planning framework usin...
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12/08/2019
Spatial and Temporal Management of Cellular HetNets with Multiple Solar Powered Drones
This paper proposes an energy management framework for cellular heteroge...
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07/23/2019
Fast Steerable Wireless Backhaul Reconfiguration
Future mobile traffic growth will require 5G cellular networks to densif...
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10/03/2018
A Generic Framework for Task Offloading in mmWave MEC Backhaul Networks
With the emergence of millimeter-Wave (mmWave) communication technology,...
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09/04/2018
Optimal Steerable mmWave Mesh Backhaul Reconfiguration
Future 5G mobile networks will require increased backhaul (BH) capacity ...
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07/25/2018
Trajectory Optimization for Cooperative Dual-band UAV Swarms
Unmanned aerial vehicles (UAVs) have gained a lot of popularity in diver...
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04/10/2018