A Collaborative Fog-Based Healthcare Intrusion Detection Security Using Blockchain and Machine Learning DOI

Maryam Douiba,

Said Benkirane,

Azidine Guezzaz

et al.

Lecture notes in networks and systems, Journal Year: 2023, Volume and Issue: unknown, P. 1 - 6

Published: Jan. 1, 2023

Language: Английский

A systematic review of IoT in healthcare: Applications, techniques, and trends DOI
Mostafa Haghi Kashani,

Mona Madanipour,

Mohammad Nikravan

et al.

Journal of Network and Computer Applications, Journal Year: 2021, Volume and Issue: 192, P. 103164 - 103164

Published: July 22, 2021

Language: Английский

Citations

357
Load Balancing Algorithms in Fog Computing DOI
Mostafa Haghi Kashani, Ebrahim Mahdipour

IEEE Transactions on Services Computing, Journal Year: 2022, Volume and Issue: 16(2), P. 1505 - 1521

Published: May 11, 2022

Recently, fog computing has been introduced as a modern distributed paradigm and complement to cloud provide services. The system extends storing the edge of network, which can remarkably solve problem service in delay-sensitive applications besides enabling location awareness mobility support. Load balancing is an important aspect networks that avoids situation with some under-loaded or overloaded nodes. Quality parameters such resource utilization, throughput, cost, response time, performance, energy consumption be improved by load balancing. In recent years, research algorithms carried out, but there no systematic study consolidate these works. This article investigates load-balancing systematically four classifications, including approximate, exact, fundamental, hybrid algorithms. Also, this metrics all advantages disadvantages related chosen networks. evaluation techniques tools applied for each reviewed are explored well. Additionally, essential open challenges future trends discussed.

Language: Английский

Citations

78
A systematic review of healthcare recommender systems: Open issues, challenges, and techniques DOI

Maryam Etemadi,

Sepideh Bazzaz Abkenar,

Ahmad Ahmadzadeh

et al.

Expert Systems with Applications, Journal Year: 2022, Volume and Issue: 213, P. 118823 - 118823

Published: Sept. 14, 2022

Language: Английский

Citations

72
Towards effective offloading mechanisms in fog computing DOI Open Access

Maryam Sheikh Sofla,

Mostafa Haghi Kashani, Ebrahim Mahdipour

et al.

Multimedia Tools and Applications, Journal Year: 2021, Volume and Issue: 81(2), P. 1997 - 2042

Published: Oct. 19, 2021

Language: Английский

Citations

71
Fog computing approaches in IoT-enabled smart cities DOI
Maryam Songhorabadi, Morteza Rahimi, AmirMehdi MoghadamFarid

et al.

Journal of Network and Computer Applications, Journal Year: 2022, Volume and Issue: 211, P. 103557 - 103557

Published: Dec. 16, 2022

Language: Английский

Citations

63
Smart neurocare approach for detection of epileptic seizures using deep learning based temporal analysis of EEG patterns DOI
Kuldeep Singh, Jyoteesh Malhotra

Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 81(20), P. 29555 - 29586

Published: April 4, 2022

Language: Английский

Citations

41
A systematic review of machine learning methods in software testing DOI

Sedighe Ajorloo,

Amirhossein Jamarani,

Mehdi Kashfi

et al.

Applied Soft Computing, Journal Year: 2024, Volume and Issue: 162, P. 111805 - 111805

Published: May 25, 2024

Language: Английский

Citations

12
A review on trust management in fog/edge computing: Techniques, trends, and challenges DOI
Mohammad Nikravan, Mostafa Haghi Kashani

Journal of Network and Computer Applications, Journal Year: 2022, Volume and Issue: 204, P. 103402 - 103402

Published: April 30, 2022

Language: Английский

Citations

30
Big data and predictive analytics: A sytematic review of applications DOI Creative Commons

Amirhossein Jamarani,

Saeid Haddadi,

Raheleh Sarvizadeh

et al.

Artificial Intelligence Review, Journal Year: 2024, Volume and Issue: 57(7)

Published: June 17, 2024

Abstract Big data involves processing vast amounts of using advanced techniques. Its potential is harnessed for predictive analytics, a sophisticated branch that anticipates unknown future events by discerning patterns observed in historical data. Various techniques obtained from modeling, mining, statistics, artificial intelligence, and machine learning are employed to analyze available history extract discriminative predictors. This study aims the main research approaches on Data Predictive Analytics (BDPA) based very up-to-date published articles 2014 2023. In this article, we fully concentrate analytics big mining techniques, where perform Systematic Literature Review (SLR) reviewing 109 articles. Based application content current studies, introduce taxonomy including seven major categories industrial, e-commerce, smart healthcare, agriculture, city, Information Communications Technologies (ICT), weather. The benefits weaknesses each approach, potentially important changes, open issues, addition paths, discussed. compiled SLR not only extends BDPA’s strengths, works but also detects need optimizing insufficient metrics applications, such as timeliness, accuracy, scalability, which would enable organizations apply shift retrospective prospective if fulfilled.

Language: Английский

Citations

8
A lightweight authentication and authorization method in IoT-based medical care DOI

Laleh Khajehzadeh,

Hamid Barati, Ali Barati

et al.

Multimedia Tools and Applications, Journal Year: 2024, Volume and Issue: unknown

Published: May 21, 2024

Language: Английский

Citations

7