A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Omer Ali, Mohamad Khairi Ishak, Muhammad Kamran Liaquat Bhatti, et al.
A comprehensive review of IoT technology stack, middleware platforms, and fog/edge computing interfaces, highlighting enabling technologies, standards, and open challenges.
Mehdi Mohammadi, Ala Al‐Fuqaha, Sameh Sorour, et al.
A comprehensive survey of deep learning techniques for IoT big data and streaming analytics, covering architectures, applications, implementation on fog/cloud, and open challenges.
Charith Perera, Arkady Zaslavsky, Peter Christen, et al.
Surveys context-aware computing for IoT, analyzing 50 projects (2001-2011) via a taxonomy to derive lessons and future research directions.
Unknown
This paper provides a taxonomy of privacy-preserving machine learning approaches for cloud computing and discusses challenges of applying them to IoT.
Bill Maurer, Taylor C. Nelms, Lana Swartz
This paper analyzes Bitcoin's semiotics as a 'practical materialism' that addresses privacy, liberty, and value through cryptographic protocols rather than institutions.
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.
Unknown
This paper introduces Snap Video, a scaled spatiotemporal transformer model for text-to-video synthesis that generates high-quality videos from text prompts.
Ana Reyna, Cristian Martín, Jaime Chen, et al.
This paper surveys the integration of blockchain with IoT, analyzing challenges and opportunities for enhancing security and data reliability in distributed IoT environments.
Sarah Mohammed Alshehri, Sanaa Abdullah Sharaf, Rania Abdullrahman Molla
A systematic literature review of 28 studies (2020-2025) analyzing how graph neural networks are applied to detect cyberattacks in IoT, web, phishing, and network traffic domains.
Yunlong Lu, Xiaohong Huang, Yueyue Dai, et al.
Integrates federated learning into permissioned blockchain consensus to enable privacy-preserved data sharing for Industrial IoT.
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
Comprehensive survey of federated learning applications in IoT, covering services, key applications, challenges, and future directions.
Pallavi Sethi, Smruti R. Sarangi
A comprehensive survey of IoT architectures, protocols, and applications with a novel taxonomy covering technologies from sensors to applications.