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

Maryam Douiba,

Said Benkirane,

Azidine Guezzaz

и другие.

Lecture notes in networks and systems, Год журнала: 2023, Номер unknown, С. 1 - 6

Опубликована: Янв. 1, 2023

Язык: Английский

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

Mona Madanipour,

Mohammad Nikravan

и другие.

Journal of Network and Computer Applications, Год журнала: 2021, Номер 192, С. 103164 - 103164

Опубликована: Июль 22, 2021

Язык: Английский

Процитировано

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

IEEE Transactions on Services Computing, Год журнала: 2022, Номер 16(2), С. 1505 - 1521

Опубликована: Май 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.

Язык: Английский

Процитировано

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

Maryam Etemadi,

Sepideh Bazzaz Abkenar,

Ahmad Ahmadzadeh

и другие.

Expert Systems with Applications, Год журнала: 2022, Номер 213, С. 118823 - 118823

Опубликована: Сен. 14, 2022

Язык: Английский

Процитировано

72
Towards effective offloading mechanisms in fog computing DOI Open Access

Maryam Sheikh Sofla,

Mostafa Haghi Kashani, Ebrahim Mahdipour

и другие.

Multimedia Tools and Applications, Год журнала: 2021, Номер 81(2), С. 1997 - 2042

Опубликована: Окт. 19, 2021

Язык: Английский

Процитировано

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

и другие.

Journal of Network and Computer Applications, Год журнала: 2022, Номер 211, С. 103557 - 103557

Опубликована: Дек. 16, 2022

Язык: Английский

Процитировано

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, Год журнала: 2022, Номер 81(20), С. 29555 - 29586

Опубликована: Апрель 4, 2022

Язык: Английский

Процитировано

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

Sedighe Ajorloo,

Amirhossein Jamarani,

Mehdi Kashfi

и другие.

Applied Soft Computing, Год журнала: 2024, Номер 162, С. 111805 - 111805

Опубликована: Май 25, 2024

Язык: Английский

Процитировано

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, Год журнала: 2022, Номер 204, С. 103402 - 103402

Опубликована: Апрель 30, 2022

Язык: Английский

Процитировано

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

Amirhossein Jamarani,

Saeid Haddadi,

Raheleh Sarvizadeh

и другие.

Artificial Intelligence Review, Год журнала: 2024, Номер 57(7)

Опубликована: Июнь 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.

Язык: Английский

Процитировано

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

Laleh Khajehzadeh,

Hamid Barati, Ali Barati

и другие.

Multimedia Tools and Applications, Год журнала: 2024, Номер unknown

Опубликована: Май 21, 2024

Язык: Английский

Процитировано

7