[HTML][HTML] A review of IoT applications in healthcare
Abstract Integrating Internet of Things (IoT) technologies in the healthcare industry
represents a transformative shift with tangible benefits. This paper provides a detailed …
represents a transformative shift with tangible benefits. This paper provides a detailed …
Gpt (generative pre-trained transformer)–a comprehensive review on enabling technologies, potential applications, emerging challenges, and future directions
The Generative Pre-trained Transformer (GPT) represents a notable breakthrough in the
domain of natural language processing, which is propelling us toward the development of …
domain of natural language processing, which is propelling us toward the development of …
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …
ChatGPT is on the horizon: could a large language model be suitable for intelligent traffic safety research and applications?
ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we
approach intelligent traffic safety systems. This paper begins with a brief introduction about …
approach intelligent traffic safety systems. This paper begins with a brief introduction about …
Efficient intrusion detection toward IoT networks using cloud–edge collaboration
Abstract The Internet of Things (IoT) is increasingly utilized in daily life and industrial
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
production, particularly in critical infrastructures. IoT cybersecurity has an effect on people's …
A comprehensive survey of deep learning-based lightweight object detection models for edge devices
P Mittal - Artificial Intelligence Review, 2024 - Springer
This study concentrates on deep learning-based lightweight object detection models on
edge devices. Designing such lightweight object recognition models is more difficult than …
edge devices. Designing such lightweight object recognition models is more difficult than …
Edge learning for 6G-enabled Internet of Things: A comprehensive survey of vulnerabilities, datasets, and defenses
The deployment of the fifth-generation (5G) wireless networks in Internet of Everything (IoE)
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
applications and future networks (eg, sixth-generation (6G) networks) has raised a number …
A survey on reconfigurable intelligent surfaces assisted multi-access edge computing networks: State of the art and future challenges
This survey provides a comprehensive analysis of the integration of Reconfigurable
Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing …
Intelligent Surfaces (RIS) with edge computing, underscoring RIS's critical role in advancing …
Carbon emission flow based energy routing strategy in energy Internet
In the energy Internet (EI), energy can flow likewise information routing. Notably, under the
graph-structured regional EI scenario, the energy routing path with the least power losses …
graph-structured regional EI scenario, the energy routing path with the least power losses …
End-edge-cloud collaborative computing for deep learning: A comprehensive survey
The booming development of deep learning applications and services heavily relies on
large deep learning models and massive data in the cloud. However, cloud-based deep …
large deep learning models and massive data in the cloud. However, cloud-based deep …