Federated learning: Challenges, methods, and future directions
Federated learning includes mobile phones for cooperative learning and training and
contains limited data on device. Federated learning allocates the machine learning …
contains limited data on device. Federated learning allocates the machine learning …
Machine learning based classification and segmentation techniques for CRM: a customer analytics
Machine learning and data mining help companies to build a tool that can make and take
actions based on customer knowledge and information. Customer information is the base of …
actions based on customer knowledge and information. Customer information is the base of …
Machine learning applications for IoT healthcare
Healthcare sectors are gradually accepting technology that provides various remote
healthcare facility, disease prediction, and in‐home diagnostics capabilities, which combine …
healthcare facility, disease prediction, and in‐home diagnostics capabilities, which combine …
A Probabilistic Deadline-aware Application Offloading in a Multi-Queueing Fog System: A Max Entropy Framework
Cloud computing and its derivatives, such as fog and edge computing, have propelled the
IoT era, integrating AI and deep learning for process automation. Despite transformative …
IoT era, integrating AI and deep learning for process automation. Despite transformative …
Maximizing user retention with machine learning enabled 6g channel allocation
The paper proposes a machine learning-based user retention technique for the 6G network
by identifying and classifying loyal users using supervised machine learning algorithms …
by identifying and classifying loyal users using supervised machine learning algorithms …
An agent-based real-time game model for forecasting the market penetration of vehicles in China
M Chen, RXJ Liu, J Hao - IEEE Access, 2024 - ieeexplore.ieee.org
Internal combustion engine vehicles (ICEs), hybrid, plug-in hybrid and battery electric
vehicles (HEVs, PHEVs, and BEVs) represent tradition, high technology, energy …
vehicles (HEVs, PHEVs, and BEVs) represent tradition, high technology, energy …
Game theory approaches for Radio Access Technology Selection Algorithm: A Review
In wireless communication systems, choosing the right Radio Access Technology (RAT) is
essential to maximizing network performance and guaranteeing a flawless user experience …
essential to maximizing network performance and guaranteeing a flawless user experience …
Role of Blockchain Technology in 6G Network Management
Blockchain technology is a revolutionary technology for the sixth-generation (6G) network.
Blockchain offers significant advantages of transparency, immutability, flexibility, traceability …
Blockchain offers significant advantages of transparency, immutability, flexibility, traceability …
Machine Learning Based User Retention and Channel Allocation: 6G Aspect
Future 6G wireless network will be focused on Artificial Intelligence (AI) based network
selection, resource allocation and user satisfaction. A user has multiple options to switch …
selection, resource allocation and user satisfaction. A user has multiple options to switch …