Algorithms for intelligent systems, Год журнала: 2023, Номер unknown, С. 25 - 33
Опубликована: Янв. 1, 2023
Язык: Английский
IEEE Open Journal of Engineering in Medicine and Biology, Год журнала: 2021, Номер 2, С. 249 - 255
Опубликована: Янв. 1, 2021
Because a fast vaccination rollout against coronavirus disease 2019 (COVID-19) is critical to restore daily life and avoid virus mutations, it tempting have relaxed vaccination-administration management system. However, robust system can support the enforcement of preventive measures, in turn, reduce incidence deaths. Here, we model trustable reliable based on blockchain for vaccine distribution by extending Susceptible-Exposed-Infected-Recovery (SEIR) model. The includes prevention measures such as mask-wearing, social distance, rate, efficiency. It also considers negative behavior, violations distance attempts using illegitimate proofs. By evaluating model, show that proposed up 2.5 million cases half deaths most demanding scenarios.
Язык: Английский
Процитировано
10
Integrated science, Год журнала: 2023, Номер unknown, С. 37 - 52
Опубликована: Янв. 1, 2023
Язык: Английский
Процитировано
4
Опубликована: Фев. 11, 2022
The SARS-CoV-2 first surfaced in 2019 China and later spread across the globe causing a pandemic. Immunisation has thus far been considered to be mankind's weapon of choice frontline fight against virus defined as Covid-19. Mass vaccination programmes carried out by nations are closely related public health information, data safety security. As countries roll immunisation efforts, cyber offenders try exploit people's personal inoculation records while citizens can also exposed fake vaccine certificates issued hackers. To prevent such any breach or exploitation, an effective system is urgently required place that ensures maximum security at time unprecedented global crisis. Blockchain perfect solution this case thanks its transparency, trustworthiness, decentralised operations. We have proposed blockchain based framework for covid 19 process provide immutability, transparency correctness beneficiary registration vaccination, eliminating identity thefts impersonation, tamper proof self-reporting side effects, person identification certification.
Язык: Английский
Процитировано
6
Опубликована: Авг. 1, 2022
The history of mankind witnessed a lot pandemics throughout its years. Many which caused fatalities and created severe consequences socially economically. latest example is the COVID-19 pandemic that got world into heated race to contain by developing immunization vaccines. vaccines came production in record time raises questions about their side effects. Also, since are sensitive medical products, they require continuous cold supply chain monitoring tracking. It clear how vital it link any occurring effects causes determine whether manufacturing problem or management issue. Additionally, properly establish this link, an effective beneficiaries' registration process required. Therefore, necessary comprehensive system combines solution with side-effects follow-up data individuals records. To achieve these goals, technology blockchain was selected develop framework for program. Blockchain known as architecture behind cryptocurrencies, however, proved reliability effectiveness different use cases. special characteristics were reason adopting blockchain-based platform associated traceable information records combined beneficiaries data. connection between three parts our important achieving utmost benefits out vaccine program terms compliance standard measures metadata.
Язык: Английский
Процитировано
4
Diagnostics, Год журнала: 2022, Номер 13(1), С. 76 - 76
Опубликована: Дек. 27, 2022
Coronavirus disease (COVID-19) is a worldwide epidemic that poses substantial health hazards. However, COVID-19 diagnostic test sensitivity still restricted due to abnormalities in specimen processing. Meanwhile, optimizing the highly defined number of convolutional neural network (CNN) hyperparameters (hundreds thousands) useful direction improve its overall performance and overcome cons. Hence, this paper proposes an optimization strategy for obtaining optimal learning rate momentum CNN’s using grid search method performance. Therefore, three alternative CNN architectures (GoogleNet, VGG16, ResNet) were used optimize utilizing two different radiography data sets (Kaggle (X-ray) China national center bio-information (CT)). These tested with/without hyperparameters. The results confirm effective classification structures with optimized Experimental findings indicate new technique outperformed previous terms accuracy, sensitivity, specificity, recall, F-score, false positive negative rates, error rate. At epoch 25, Resnet obtained high reaching 98.98% X-ray images 98.78% CT images.
Язык: Английский
Процитировано
4
Keldysh Institute Preprints, Год журнала: 2021, Номер 26, С. 1 - 16
Опубликована: Янв. 1, 2021
In this paper, several consensus algorithms are investigated, a comparative analysis of these is made, the results which important in context active growth cryptocurrency market. addition, pandemics, creation blockchain technologies for distributed storage reliable medical data relevant. The key properties highlighted, and detailed algorithm promising Istanbul BFT carried out. Using multi-criterion alternatives, it shown how you can select appropriate needs specific tasks.
Язык: Английский
Процитировано
3
Intelligent Automation & Soft Computing, Год журнала: 2023, Номер 36(2), С. 2425 - 2440
Опубликована: Янв. 1, 2023
The major environmental hazard in this pandemic is the unhygienic disposal of medical waste. Medical wastage not properly managed it will become a to environment and humans. Managing issue city, municipalities aspects environment, logistics. An efficient supply chain with edge computing technology used managing operations include processing waste collection, transportation, Many research works have been applied improve management wastage. main issues existing techniques are ineffective expensive centralized which leads failure providing security, trustworthiness, transparency. To overcome these issues, paper we implement an Naive Bayes classifier algorithm Q-Learning decentralized binary bat optimization (NBQ-BBOA). This proposed work track, detect, manage minimize transferring cost from various nodes, used. accuracy obtained for Naïve 88%, 82% NBQ-BBOA 98%. error rate Root Mean Square Error (RMSE) (MAE) 0.012 0.045.
Язык: Английский
Процитировано
1
Elsevier eBooks, Год журнала: 2023, Номер unknown, С. 89 - 99
Опубликована: Янв. 1, 2023
Язык: Английский
Процитировано
1
Wasit Journal of Computer and Mathematics Science, Год журнала: 2023, Номер 2(1), С. 46 - 53
Опубликована: Март 30, 2023
Due to its capacity make wise decisions, deep learning has become extremely popular in recent years. The current generation of learning, which heavily rely centralized servers, are unable offer attributes like operational transparency, stability, security, and reliable data provenance. Additionally, Single point failure is a problem that designs susceptible since they need train them. We review the body research on application blockchain. categorize arrange literature for developing topic taxonomy based their criteria: Application domain, learning-specific consensus mechanisms, goals deployment blockchain type. To facilitate meaningful discussions, we list benefits drawbacks most cutting-edge blockchain-based frameworks.
Язык: Английский
Процитировано
1
Lecture notes on data engineering and communications technologies, Год журнала: 2022, Номер unknown, С. 857 - 869
Опубликована: Янв. 1, 2022
Язык: Английский
Процитировано
1