A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Syed Junaid Nawaz, Shree Krishna Sharma, Shurjeel Wyne, et al.
This paper reviews machine learning, quantum computing, and quantum machine learning for 6G networks and proposes a QC-assisted QML framework for beyond-5G communication systems.
Neha Yadav, Sagar Pande, Aditya Khamparia, et al.
This paper proposes a deep learning-based intrusion detection system for IoT networks in 5G environments, achieving 99.76% accuracy with an autoencoder model.
Maria Rita Palattella, Mischa Döhler, Alfredo Grieco, et al.
This paper analyzes how 5G technologies can serve as a key enabler for the Internet of Things by addressing connectivity fragmentation and enabling ubiquitous, reliable, scalable, and cost-efficient IoT services.
Tarik Taleb, Konstantinos Samdanis, Badr Eddine Mada, et al.
A survey on Multi-Access Edge Computing (MEC) covering key enabling technologies, orchestration, reference architecture, deployment scenarios, and standardization for 5G edge cloud.
Kinza Shafique, Bilal A. Khawaja, Farah Sabir, et al.
This paper provides a comprehensive review of IoT technology, focusing on 5G-IoT integration, key enabling technologies, and challenges for next-generation smart systems.
Quoc‐Viet Pham, Fang Fang, Vu Nguyen Ha, et al.
A comprehensive survey of Multi-Access Edge Computing (MEC) in 5G and beyond, covering fundamentals, technology integration, use cases, testbeds, and future research directions.