[HTML][HTML] An evaluation survey of knowledge-based approaches in telecommunication applications
The purpose of this survey study is to shed light on the importance of knowledge usage and
knowledge-driven applications in telecommunication systems and businesses. To this end …
knowledge-driven applications in telecommunication systems and businesses. To this end …
AI-native interconnect framework for integration of large language model technologies in 6G systems
The evolution towards 6G architecture promises a transformative shift in communication
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …
networks, with artificial intelligence (AI) playing a pivotal role. This paper delves deep into …
[PDF][PDF] Recommendation System for Product Test Failures Using BERT.
Historical failure records can provide insights to investigate if a similar situation occurred
during the troubleshooting process in software. However, in the era of information explosion …
during the troubleshooting process in software. However, in the era of information explosion …
Telecom Foundation Models: Applications, Challenges, and Future Trends
Telecom networks are becoming increasingly complex, with diversified deployment
scenarios, multi-standards, and multi-vendor support. The intricate nature of the telecom …
scenarios, multi-standards, and multi-vendor support. The intricate nature of the telecom …
Embedding-based data matching for disparate data sources
Dealing with heterogeneous sources is an important challenge in the field of knowledge
discovery and management. Schema matching methods are employed to solve this problem …
discovery and management. Schema matching methods are employed to solve this problem …
Entity Recognition in Telecommunications using Domain-adapted Language Models
DD Nimara, FG Gebre, V Huang - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Large Language Models (LLMs) trained on general data have demonstrated remarkable
efficacy in addressing downstream tasks, including Named Entity Recognition (NER) …
efficacy in addressing downstream tasks, including Named Entity Recognition (NER) …