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

M Etemadi, SB Abkenar, A Ahmadzadeh… - Expert Systems with …, 2023 - Elsevier
Background The maintenance of health through prevention, diagnosis, and treatment of
illnesses, injuries, and other mental and physical impairments in people is called healthcare …

Fog computing approaches in IoT-enabled smart cities

M Songhorabadi, M Rahimi… - Journal of Network and …, 2023 - Elsevier
These days, the development of smart cities, specifically in location-aware, latency-sensitive,
and security-crucial applications (such as emergency fire events, patient health monitoring …

[HTML][HTML] Towards effective offloading mechanisms in fog computing

M Sheikh Sofla, M Haghi Kashani, E Mahdipour… - Multimedia Tools and …, 2022 - Springer
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …

Learning textual features for twitter spam detection: A systematic literature review

SB Abkenar, MH Kashani, M Akbari… - Expert Systems with …, 2023 - Elsevier
Background Nowadays, with the rise of Internet access and mobile devices around the
globe, more people are using social networks for collaboration and receiving real-time …

[HTML][HTML] Emerging technologies for 6G communication networks: Machine learning approaches

AA Puspitasari, TT An, MH Alsharif, BM Lee - Sensors, 2023 - mdpi.com
The fifth generation achieved tremendous success, which brings high hopes for the next
generation, as evidenced by the sixth generation (6G) key performance indicators, which …

[HTML][HTML] Dynamic load balancing techniques in the IoT: A review

D Kanellopoulos, VK Sharma - Symmetry, 2022 - mdpi.com
The Internet of things (IoT) extends the Internet space by allowing smart things to sense
and/or interact with the physical environment and communicate with other physical objects …

[HTML][HTML] Enhancing investigations in data migration and security using sequence cover cat and cover particle swarm optimization in the fog paradigm

T Saravanan, S Saravanakumar - International Journal of Intelligent …, 2022 - Elsevier
In recent years, fog and mobile edge computing have grown rapidly due to the large amount
of data generated by the Internet of Thing (IoT) devices. It provides a variety of services …

Hybrid grey wolf and improved particle swarm optimization with adaptive intertial weight-based multi-dimensional learning strategy for load balancing in cloud …

S Janakiraman, MD Priya - Sustainable Computing: Informatics and …, 2023 - Elsevier
The popularization of Internet applications and rapid advent of information technologies
have invited increased number of developers and companies to focus on the area of Cloud …

Machine learning-based solutions for resource management in fog computing

M Fahimullah, S Ahvar, M Agarwal… - Multimedia Tools and …, 2024 - Springer
Fog computing is a paradigm that offers distributed and diverse resources at the network
edge to fulfill the quality of service requirements. However, effectively managing these …

Reducing idleness in financial cloud via multi-objective evolutionary reinforcement learning based load balancer

P Yang, L Zhang, H Liu, G Li - arXiv preprint arXiv:2305.03463, 2023 - arxiv.org
In recent years, various companies started to shift their data services from traditional data
centers onto cloud. One of the major motivations is to save operation costs with the aid of …