AI-empowered fog/edge resource management for IoT applications: A comprehensive review, research challenges and future perspectives

GK Walia, M Kumar, SS Gill - IEEE Communications Surveys & …, 2023 - ieeexplore.ieee.org
The proliferation of ubiquitous Internet of Things (IoT) sensors and smart devices in several
domains embracing healthcare, Industry 4.0, transportation and agriculture are giving rise to …

[HTML][HTML] A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks

MH Alsharif, AH Kelechi, A Jahid… - Alexandria Engineering …, 2024 - Elsevier
Energy efficiency is a key area of research aimed at achieving sustainable and
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …

Performance enhancement of artificial intelligence: A survey

M Krichen, MS Abdalzaher - Journal of Network and Computer Applications, 2024 - Elsevier
The advent of machine learning (ML) and Artificial intelligence (AI) has brought about a
significant transformation across multiple industries, as it has facilitated the automation of …

Artificial Intelligence Techniques for Securing Fog Computing Environments: Trends, Challenges, and Future Directions

D Alsadie - IEEE Access, 2024 - ieeexplore.ieee.org
Fog computing, an extension of cloud computing, enhances capabilities by processing data
closer to the source, thereby addressing latency and bandwidth issues inherent in traditional …

A novel evaluation framework for medical llms: Combining fuzzy logic and mcdm for medical relation and clinical concept extraction

AH Alamoodi, O Zughoul, D David, S Garfan… - Journal of Medical …, 2024 - Springer
Artificial intelligence (AI) has become a crucial element of modern technology, especially in
the healthcare sector, which is apparent given the continuous development of large …

Sustainability Measures: An Experimental Analysis of AI and Big Data Insights in Industry 5.0

NI Vatin, GS Negi, VS Yellanki, C Mohan… - BIO Web of …, 2024 - bio-conferences.org
In the context of Industry 5.0, this empirical research investigates the concrete effects of
artificial intelligence (AI) and big data insights on sustainability metrics. Real-world data …

[HTML][HTML] AI and Computing Horizons: Cloud and Edge in the Modern Era

NF Prangon, J Wu - Journal of Sensor and Actuator Networks, 2024 - mdpi.com
Harnessing remote computation power over the Internet without the need for expensive
hardware and making costly services available to mass users at a marginal cost gave birth …

[HTML][HTML] AI Lifecycle Zero-Touch Orchestration within the Edge-to-Cloud Continuum for Industry 5.0

E Alberti, S Alvarez-Napagao, V Anaya, M Barroso… - Systems, 2024 - mdpi.com
The advancements in human-centered artificial intelligence (HCAI) systems for Industry 5.0
is a new phase of industrialization that places the worker at the center of the production …

Augmented intelligence of things for emergency vehicle secure trajectory prediction and task offloading

X Wu, J Dong, W Bao, B Zou, L Wang… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
Augmented Intelligence of Things (AIoT) combines augmented intelligence algorithms with
the massive data collected by IoT devices, enabling more advanced decision-making. The …

Leveraging Fog Computing for Security‐Aware Resource Allocation in Narrowband Internet of Things

V Sunku Mohan, S Sankaran, R Buyya… - Software: Practice …, 2024 - Wiley Online Library
ABSTRACT Narrowband Internet of Things (NB‐IoT) is LPWAN operating using narrowband
spectrum in IoTs, requiring low data rates and long battery life. Since NB‐IoT does not …