AIMC Topic: Blockchain

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Dual attention-based deep learning with blockchain for multimedia data processing and secure access control in IoHT.

Scientific reports
The Internet of Medical Things represents an interconnected medical technology that comprises mobile applications, medical services, as well as networks. These medical equipment and software are connected to medical systems across an internet connect...

Reimagining cultural heritage conservation through VR, metaverse, and digital twins: An AI and blockchain-based framework.

PloS one
Recent advances in artificial intelligence (AI), blockchain, virtual reality (VR), and digital twin technologies are transforming approaches to cultural heritage conservation. This study develops an integrated analytical framework that combines AI-dr...

A federated incremental blockchain framework with privacy preserving XAI optimization for securing healthcare data.

Scientific reports
Federated learning (FL) has become more popular in the area of machine learning for protecting data privacy, its unique distributed data processing characteristics have garnered widespread attention. However, the implementation of FL faces many chall...

Secure and interpretable lung cancer prediction model using mapreduce private blockchain federated learning and XAI.

Scientific reports
Lung cancer continues to be one of the most widespread and deadly cancer diagnoses that affects humans worldwide. Early detection of lung cancer leads to decreased mortality rates; however, several challenges hinder the development and deployment of ...

Blockchain framework with IoT device using federated learning for sustainable healthcare systems.

Scientific reports
The Internet of Medical Things (IoMT) sector has advanced rapidly in recent years, and security and privacy are essential considerations in the IoMT due to the extensive scope and implementation of IoMT networks. Machine learning (ML) and blockchain ...

Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification.

Scientific reports
The growing number of patients and the emergence of new symptoms and diseases make health monitoring and assessment increasingly complex for medical staff and hospitals. The execution of big and heterogeneous data gathered by medical sensors and the ...

An explainable federated blockchain framework with privacy-preserving AI optimization for securing healthcare data.

Scientific reports
With the rapid growth of healthcare data and the need for secure, interpretable, and decentralized machine learning systems, Federated Learning (FL) has emerged as a promising solution. However, FL models often face challenges regarding privacy prese...

Responsible CVD screening with a blockchain assisted chatbot powered by explainable AI.

Scientific reports
Cardiovascular disease (CVD) is rising as a significant concern for the healthcare sector around the world. Researchers have applied multiple traditional approaches to making healthcare systems find new solutions for the CVD concern. Artificial Intel...

Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm.

PloS one
The current approach to data access control predominantly utilizes blockchain technology. However, when dealing with high-dimensional medical data, the inherent transparency of blockchain conflicts with the necessity of protecting patient privacy. Co...

Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning.

Scientific reports
The healthcare industry, aided by technology, leverages the Internet of Things (IoT) paradigm to offer patient/user-related services that are ubiquitous and personalized. The authorized repository stores ubiquitous data for which access-level securit...