Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application

Journal of Medical Systems, Journal Year: 2022, Volume and Issue: 46(11)

Published: Oct. 10, 2022

Language: Английский

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AI-Empowered Fog/Edge Resource Management for IoT Applications: A Comprehensive Review, Research Challenges, and Future Perspectives

IEEE Communications Surveys & Tutorials, Journal Year: 2023, Volume and Issue: 26(1), P. 619 - 669

Published: Nov. 30, 2023

The proliferation of ubiquitous Internet Things (IoT) sensors and smart devices in several domains embracing healthcare, Industry 4.0, transportation agriculture are giving rise to a prodigious amount data requiring everincreasing computations services from cloud the edge network.Fog/Edge computing is promising distributed paradigm that has drawn extensive attention both industry academia.The infrastructural efficiency these paradigms necessitates adaptive resource management mechanisms for offloading decisions efficient scheduling.Resource Management (RM) non-trivial issue whose complexity result heterogeneous resources, incoming transactional workload, node discovery, Quality Service (QoS) parameters at same time, which makes efficacy resources even more challenging.Hence, researchers have adopted Artificial Intelligence (AI)-based techniques resolve abovementioned issues.This paper offers comprehensive review issues challenges Fog/Edge by categorizing them into provisioning task offloading, scheduling, service placement, load balancing.In addition, existing AI non-AI based state-of-the-art solutions been discussed, along with their QoS metrics, datasets analysed, limitations challenges.The survey provides mathematical formulation corresponding each categorized issue.Our work sheds light on research directions cutting-edge technologies such as Serverless computing, 5G, Industrial IoT (IIoT), blockchain, digital twins, quantum Software-Defined Networking (SDN), can be integrated frameworks fog/edge-of-things improve business intelligence analytics amongst IoT-based applications.

Language: Английский

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Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities

IEEE Communications Surveys & Tutorials, Journal Year: 2023, Volume and Issue: 25(2), P. 1261 - 1293

Published: Jan. 1, 2023

Healthcare systems are under increasing strain due to a myriad of factors, from steadily ageing global population the current COVID-19 pandemic. In world where we have needed be connected but apart, need for enhanced remote and at-home healthcare has become clear. The Internet Things (IoT) offers promising solution. IoT created highly world, with billions devices collecting communicating data range applications, including healthcare. Due these high volumes data, natural synergy Artificial Intelligence (AI) apparent – big both enables requires AI interpret, understand, make decisions that provide optimal outcomes. this extensive survey, thoroughly explore through an examination field (AIoT) This work begins by briefly establishing unified architecture AIoT in context, sensors devices, novel communication technologies, cross-layer AI. We then examine recent research pertaining each component several key perspectives, identifying challenges, opportunities unique Several examples real-world use cases presented illustrate potential technologies. Lastly, outlines directions future

Language: Английский

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IoMT-Based Platform for E-Health Monitoring Based on the Blockchain

Electronics, Journal Year: 2022, Volume and Issue: 11(15), P. 2314 - 2314

Published: July 25, 2022

With the evolution of information technology, use internet things has increased. It affects several areas such as medical field, smart cities, and systems. In this work, we will technological development in context health, particularly e-health. We present a platform based on IoMT to allow monitoring patient’s health. To meet constraint secrecy confidentiality information, Blockchain secure system. Our system data collected by sensors blood pressure, SPO2 concentration, EEG signals. These encrypted be an embedded Raspberry PI 4 (working relay) before being processed (on backend server) then saved node. The preliminary results show effectiveness proposed candidate low-cost example secured Electronic Health Record (EHR).

Language: Английский

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NFT-IoT Pharma Chain : IoT Drug traceability system based on Blockchain and Non Fungible Tokens (NFTs)

Journal of King Saud University - Computer and Information Sciences, Journal Year: 2023, Volume and Issue: 35(2), P. 527 - 543

Published: Jan. 20, 2023

The public's health depends on a reliable drug supply chain. Recently, the number of counterfeit has increased drastically, resulting in thousands victims suffering from poisoning and/or treatment failures, which have resulted new expectations chain traceability. Indeed, involves many parties having heterogeneous interests and are usually reluctant to share traceability data with each other. Furthermore, existing provenance systems for chains suffer separated storage, lack information sharing transparency, trust. Decentralized blockchain-based solutions advocated address these limitations by realizing decentralized trustless systems. In this work, we present fully decentralized, solution, worthy seamless integrating IoT devices throughout It uses both smart contracts off-chain storage remove need middleman provide trusted, secure immutable transaction history. Moreover, preserve drugs, it ensures enforces integrity proposed environment using blockchain Non-Fungible Tokens (NFTs). We give test validation approach's effectiveness enhancing chains, as well an analysis costs security.

Language: Английский

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Edge Computing in Healthcare: Innovations, Opportunities, and Challenges

Future Internet, Journal Year: 2024, Volume and Issue: 16(9), P. 329 - 329

Published: Sept. 10, 2024

Edge computing promising a vision of processing data close to its generation point, reducing latency and bandwidth usage compared with traditional cloud architectures, has attracted significant attention lately. The integration edge in modern systems takes advantage Internet Things (IoT) devices can potentially improve the systems’ performance, scalability, privacy, security applications different domains. In healthcare domain, IoT nowadays be used gather vital parameters information that fed Artificial Intelligence (AI) techniques able offer precious insights support professionals. However, issues regarding privacy security, AI optimization, computational offloading at pose challenges adoption AI. This paper aims explore current state art by using Preferred Reporting Items for Systematic Reviews Meta-Analyses (PRISMA) methodology analyzing more than 70 Web Science articles. We have defined relevant research questions, clear inclusion exclusion criteria, classified works three main directions: AI-based optimization methods, techniques. findings highlight many advantages integrating wide range use cases requiring near real-time decision-making, efficient communication links, potential transform future services eHealth applications. further is needed enforce new security-preserving methods better orchestrating coordinating load distributed decentralized scenarios.

Language: Английский

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Cosine deep convolutional neural network for Parkinson’s disease detection and severity level classification using hand drawing spiral image in IoT platform

Biomedical Signal Processing and Control, Journal Year: 2024, Volume and Issue: 94, P. 106220 - 106220

Published: March 23, 2024

Language: Английский

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Enabling Blockchain with IoMT Devices for Healthcare

Information, Journal Year: 2022, Volume and Issue: 13(10), P. 448 - 448

Published: Sept. 25, 2022

Significant modifications have been seen in healthcare facilities over the past two decades. With use of IoT-enabled devices, monitoring and analysis patient diagnostic parameters is made considerably easy. The new technology shift for medical field IoMT. However, problem privacy data security information still a point to ponder. This research proposed prototype model integrate blockchain IoMT providing better health factors. authors suggested be collected Edge Computing gateway devices forward Cloud Gateway. three-layered decision making structure ensures integrity data. further sensor-based done IoT Central Hub service. To ensure secrecy compliance data, Smart Contracts are integrated. After exchange smart contracts, block broadcast blockchain. P2P network makes it viable retain all statistics processing information. paper describes scenario experimental setup COVID-19 data-set analyzed mode. collection making, sent across peer nodes. Thus, power easy worker diagnose handle with privacy. integrated artificial intelligence enable based on classification results saved as transactions hyperledger. study demonstrates test testing

Language: Английский

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Amalgamation of Blockchain with resource-constrained IoT devices for healthcare applications – State of art, challenges and future directions

International Journal of Cognitive Computing in Engineering, Journal Year: 2023, Volume and Issue: 4, P. 220 - 239

Published: June 1, 2023

Healthcare is an emerging sector with the integration of technologies aiming to improve Quality Life individual through various medical services. Most healthcare services work sensitive information patients either collected in real-time using body implanted sensors or IoT enabled devices during diagnosis a centrally controlled model. But, traditional based suffer from several challenges such as data security, privacy, interoperability, single point failure, scalability, and integrity. However, by considering advantages Blockchain technology disadvantages systems, amalgamation decentralised, distributed ledger for applications will strengthen system resolving major challenges. Thus, this research article conducts comprehensive survey on (BCIoT) services, focusing mainly existing approaches, possibilities, First, we present detailed overview Blockchain, motivation BCIoT along applications. Next discuss enabling platforms For better understanding, review role Remote patient monitoring, electronic heath record management, Health asset tracing, Covid-19 infected contact tracking. Finally future directions are discussed

Language: Английский

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Enhancing Blockchain Consensus With FPGA: Accelerating Implementation for Efficiency

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 44773 - 44785

Published: Jan. 1, 2024

Because of its versatility across various applications, Blockchain has emerged as a technology garnering significant interest. It effectively addressed the challenge transitioning from low-trust, centralized ledger maintained by single third-party to high-trust, decentralized structure multiple entities, often referred validating nodes. Consequently, numerous blockchain systems have arisen for multitude purposes. Nevertheless, considerable number these are plagued deficiencies concerning their performance and security. These issues be rectified before realization widespread adoption. An essential element within any system is foundational consensus algorithm, crucial determinant both security attributes. tackle shortcomings observed in systems, hardware implementation series established innovative algorithms was carried out part this work. This paper aims compare analyze different methods blockchain, namely PoS (Proof Stake), PoW Work) PoA Authority) using VHDL (Very High-Speed Integrated Circuit Hardware Description Language). Each unique characteristics that influence validation transactions addition blocks blockchain. In context, we aim demonstrate importance optimizing execution time via IPs (Intellectual Property) VHDL. We also evaluate impact on security, scalability IoT applications.

Language: Английский

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