A Novel Blockchain Proof of Validation Scheme Based on Explainable AI for Healthcare Workload DOI Open Access

Muhammad Memon,

Mansoor Ali Matlo,

A. A. Siddiqui

и другие.

VAWKUM Transactions on Computer Sciences, Год журнала: 2025, Номер 13(1), С. 54 - 67

Опубликована: Апрель 22, 2025

These days, the usage of blockchain with machine learning to optimise data validation in terms transparency, validity, and immutability has been increasing daily. Therefore, many complex applications, such as healthcare related disease processes, have recently required implementation remote resources a transparent form. The provides real-time security based on proof work schemes. To understand dynamic situation blockchain, mainly implemented for decision improve efficiency security. However, there are limitations when using technology learning. cope this issue, novel scheme explainable AI applications is needed process more way. We present (PoWV-XAI) control delay, energy, cost issues compared existing blockchains algorithms. proposed PoWV-XAI algorithm suggested different metaheuristic schemes supported explainability workload execution other nodes, local server. Simulation results show that explainable, all decisions, processing validation, security, cost, methods.

Язык: Английский

A Novel Blockchain Proof of Validation Scheme Based on Explainable AI for Healthcare Workload DOI Open Access

Muhammad Memon,

Mansoor Ali Matlo,

A. A. Siddiqui

и другие.

VAWKUM Transactions on Computer Sciences, Год журнала: 2025, Номер 13(1), С. 54 - 67

Опубликована: Апрель 22, 2025

These days, the usage of blockchain with machine learning to optimise data validation in terms transparency, validity, and immutability has been increasing daily. Therefore, many complex applications, such as healthcare related disease processes, have recently required implementation remote resources a transparent form. The provides real-time security based on proof work schemes. To understand dynamic situation blockchain, mainly implemented for decision improve efficiency security. However, there are limitations when using technology learning. cope this issue, novel scheme explainable AI applications is needed process more way. We present (PoWV-XAI) control delay, energy, cost issues compared existing blockchains algorithms. proposed PoWV-XAI algorithm suggested different metaheuristic schemes supported explainability workload execution other nodes, local server. Simulation results show that explainable, all decisions, processing validation, security, cost, methods.

Язык: Английский

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