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08/24/2023
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
The Intensive Care Unit (ICU) is one of the most important parts of a ho...
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08/14/2023
Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
Atrial Fibrillation (AF) is characterized by rapid, irregular heartbeats...
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08/05/2023
The coupling effect between the environment and strategies drives the emergence of group cooperation
Introducing environmental feedback into evolutionary game theory has led...
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03/22/2023
Resilient Output Containment Control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach
This paper studies the distributed resilient output containment control ...
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02/11/2023
User Pairing and Power Allocation in Untrusted Multiuser NOMA for Internet-of-Things
In the Internet-of-Things (IoT), massive sensitive and confidential info...
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11/02/2022
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL
Deep reinforcement learning (DRL) is becoming increasingly popular in im...
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02/16/2022
Knowledge Management for Cloud Computing Field
Migration legacy systems to cloud platforms is a knowledge intensive pro...
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12/19/2021
Expression is enough: Improving traffic signal control with advanced traffic state representation
Recently, finding fundamental properties for traffic state representatio...
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12/14/2021
Blockchain Developments and Innovations
Blockchain has received expanding interest from various domains. Institu...
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12/04/2021
Efficient Pressure: Improving efficiency for signalized intersections
Since conventional approaches could not adapt to dynamic traffic conditi...
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05/05/2021
Software Engineering for Blockchain Based Software Systems: Foundations, Survey, and Future Directions
Many scientific and practical areas have shown increasing interest in re...
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05/05/2021
A Comprehensive Framework for Analyzing IoT Platforms: A Smart City Industrial Experience
The compliance of IoT platforms to quality is paramount to achieve users...
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10/28/2020
A methodology of weed-crop classification based on autonomous models choosing and ensemble
Neural networks play an important role in crop-weed classification have ...
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09/18/2019
On the Strong Equivalences of LPMLN Programs
By incorporating the methods of Answer Set Programming (ASP) and Markov ...
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09/09/2019
