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Found 15 papers, 1 papers with code
Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
GPT is based on the transformer architecture, a deep neural network designed for natural language processing tasks.
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Recent technological advancements have considerately improved healthcare systems to provide various intelligent healthcare services and improve the quality of life.
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
The Metaverse is an emerging technology in the digital space which has huge potential in healthcare, enabling realistic experiences to the patients as well as the medical practitioners.
Federated Learning for IoUT: Concepts, Applications, Challenges and Opportunities
Internet of Underwater Things (IoUT) have gained rapid momentum over the past decade with applications spanning from environmental monitoring and exploration, defence applications, etc.
XAI for Cybersecurity: State of the Art, Challenges, Open Issues and Future Directions
The present study provides and extensive review of the use of XAI in cybersecurity.
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
In this article, we present a survey on the use of FL for big data services and applications, aiming to provide general readers with an overview of FL, big data, and the motivations behind the use of FL for big data.
Genetic CFL: Optimization of Hyper-Parameters in Clustered Federated Learning
Federated learning (FL) is a distributed model for deep learning that integrates client-server architecture, edge computing, and real-time intelligence.
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions
The paper finally presents the plausible solutions associated with the identified challenges in FL based intrusion detection system implementation acting as a baseline for prospective research.
Genetically Optimized Prediction of Remaining Useful Life
The application of remaining useful life (RUL) prediction has taken great importance in terms of energy optimization, cost-effectiveness, and risk mitigation.
Roughsets-based Approach for Predicting Battery Life in IoT
Internet of Things (IoT) and related applications have successfully contributed towards enhancing the value of life in this planet.
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Electricity is one of the mandatory commodities for mankind today.
Fusion of Federated Learning and Industrial Internet of Things: A Survey
In this paper, we provide a thorough overview on integrating FL with IIoT in terms of privacy, resource and data management.
A Review on Cyber Crimes on the Internet of Things
The success of IoT cannot be ignored in the scenario today, along with its attacks and threats on IoT devices and facilities are also increasing day by day.
Multiclass Model for Agriculture development using Multivariate Statistical method
In this paper, a multiclass model using Improved Mahalanobis Taguchi System (IMTS) is proposed based on normal observations and Mahalanobis distance for agriculture development.
Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements and Challenges
However, Smart Bluetooth (also referred to as Bluetooth Low Energy) is a wireless technology used to transfer data over short distances.
