Unlocking QoS Potential: Integrating IoT services and Monte Carlo Control for heterogeneous IoT device management in gateways

I Chakour, S Mhammedi, C Daoui, M Baslam - Computer Networks, 2024 - Elsevier
The exponential surge in IoT devices has presented significant challenges in managing
network traffic and maintaining Quality of Service (QoS) in IoT networks. To tackle these …

Machine Learning Techniques in Data Fusion: A Review Check for updates

M Sharma, P Kushwaha, P Kumari… - … Proceedings of ICCIS …, 2023 - books.google.com
In data fusion, various data sources are unified to get more data than a single source. Due to
the increasing amount of real-time data and increasing data complexity, the traditional …

A Novel Monte-Carlo Simulation-Based Model for Malware Detection (eRBCM)

M Alrammal, M Naveed, G Tsaramirsis - Electronics, 2021 - mdpi.com
The use of innovative and sophisticated malware definitions poses a serious threat to
computer-based information systems. Such malware is adaptive to the existing security …

Reinforcement Learning for Cell Segmentation in Histopathological and Fluorescent Microscopy

Y Alon - 2024 - figshare.le.ac.uk
Automated semantic cell segmentation is crucial in biomedical research, underpinning cell
morphometrics and facilitating disease diagnosis, particularly in cancer. Despite its …

Machine Learning Techniques in Data Fusion: A Review

M Sharma, P Kushwaha, P Kumari, P Kumari… - … on Communication and …, 2022 - Springer
In data fusion, various data sources are unified to get more data than a single source. Due to
the increasing amount of real-time data and increasing data complexity, the traditional …

[PDF][PDF] A Survey of Scalable Reinforcement Learning

GB Stone, DA Talbert, W Eberle - 2022 - infonomics-society.org
Reinforcement Learning (RL) has been around for some time now, and various issues have
been associated with the provision. In the last two years, RL has realized a boost in …