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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.
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.
Communication Efficiency in Federated Learning: Achievements and Challenges
Over the years, this has become an emerging technology especially with various data protection and privacy policies being imposed FL allows performing machine learning tasks whilst adhering to these challenges.
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.
The Homophily Principle in Social Network Analysis
In recent years, social media has become a ubiquitous and integral part of social networking.
Statistical Descriptors-based Automatic Fingerprint Identification: Machine Learning Approaches
We have evaluated the quality of machine learning techniques that has been implemented in automatic fingerprint identification.
