Results 281 to 290 of about 70,666 (362)

Deep Reinforcement Learning for Sustainable Urban Mobility: A Bibliometric and Empirical Review. [PDF]

Sensors (Basel)
Jamal S, Siddiqui F, Alam MA, Ayman-Mursaleen M, Zafar S, Naaz S.   +5 more
europepmc   +1 more source

Smart and secured investment casting process for better sustainability. [PDF]

Sci Rep
Sata A, Mobarsa D, Shukla M, Jarboui S.
europepmc   +1 more source

Secure Hierarchical Asynchronous Federated Learning with Shuffle Model and Mask-DP. [PDF]

Sensors (Basel)
Chen Y, Ai D, Yan L.
europepmc   +1 more source

Enhancing healthcare consensus mechanism - A reputation integrated variant of PBFT (BR-PBFT). [PDF]

PLoS One
Sajna S, Pillai MJ, Rajan G.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source

A decentralized blockchain-based smart framework for continuous vehicle emission monitoring in smart cities. [PDF]

Sci Rep
Priya JC, Balasubramanian D, Shen RNS, Onn CW, Kale U, Matijošius J.   +5 more
europepmc   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis, Abed Alanazi, Shtwai Alsubai, Areej Alasiry, Mehrez Marzougui, Abdullah Alqahtani, Mohemmed Sha, Muhammad Aslam   +7 more
wiley   +1 more source

Analyzing blockchain adoption in management operations through an extended UTAUT model in the Libyan context. [PDF]

Sci Rep
Saed H, Snene Manzli Y, Jeribi A, Alnafisah H.   +3 more
europepmc   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
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, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Blockchain-enabled quality by design system for clinical trials. [PDF]

Front Med (Lausanne)
Vatankhah Barenji R, Hariry RE.
europepmc   +1 more source