Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma+4 more
wiley +1 more source
Potential Benefits of Non-Fungible Tokens (NFTs) and Blockchain Technology in Dermatology. [PDF]
Diaz MJ, Tran JT.
europepmc +1 more source
Possibilities at the Intersection of AI and Blockchain Technology
Smriti Jojo, Madhurima Hooda
openalex +1 more source
Microgrids 4.0: digitalization of microgrid with IoT and recent technology interventions
This paper includes a comprehensive review of IoT, cloud computing, big data, AI, ML, blockchain in microgrid and the concepts of digital twin and metaverse and their applications. Abstract Following the fourth industrial revolution and subsequent developments in information and communication technology, applying intelligent techniques in microgrid is ...
Gaurav Singh Negi+8 more
wiley +1 more source
Unlocking the potential of blockchain technology in enhancing the fisheries supply chain: an exploration of critical adoption barriers in China. [PDF]
Nisar U+7 more
europepmc +1 more source
Enhanced trust management for building trustworthy social internet of things network
IoT devices may need to connect to unknown devices to realise ubiquitous computing in the 5G network and beyond. In such a situation, devices need to evaluate the trustworthiness of the other devices. A trust‐building model using a social network of IoT devices is discussed.
Swati Sucharita Roy+2 more
wiley +1 more source
Blockchain technology diffusion in tourism: Evidence from early enterprise adopters and innovators. [PDF]
Maythu Y, Kwok AOJ, Teh PL.
europepmc +1 more source
Variance‐driven security optimisation in industrial IoT sensors
The methodology employed in this study adopts a systematic approach to deploying machine learning algorithms for the detection of anomalies in industrial sensor data. Data preprocessing, the first step in the process, ensures that the industrial sensor data is cleaned and prepared for subsequent model training.
Hardik Gupta+7 more
wiley +1 more source
Smart home system using blockchain technology in green lighting environment in rural areas. [PDF]
Huang Y.
europepmc +1 more source
Configuration and operation model for integrated energy power station considering energy storage
Integration of energy storage in wind and photovoltaic stations improves power balance and grid reliability. A two‐stage model optimizes configuration and operation, extending storage lifespan from 4.93 to 7.79 years and increasing investment return by 2.4%.
Qingxin Li+3 more
wiley +1 more source