AI-Enhanced Cloud-Edge-Terminal Collaborative Network: Survey, Applications, and Future Directions

H Gu, L Zhao, Z Han, G Zheng… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The cloud-edge-terminal collaborative network (CETCN) is considered as a novel paradigm
for emerging applications owing to its huge potential in providing low-latency and ultra …

A Review on the Application of Internet of Medical Things in Wearable Personal Health Monitoring: A Cloud-Edge Artificial Intelligence Approach

KT Putra, AZ Arrayyan, N Hayati, C Damarjati… - IEEE …, 2024 - ieeexplore.ieee.org
The advent of the fifth-generation mobile communication technology (5G) era has catalyzed
significant advancements in medical diagnosis delivery, primarily driven by the surge in …

Sustainable fog-assisted intelligent monitoring framework for consumer electronics in industry 5.0 applications

SS Tripathy, S Bebortta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The fifth era of the industry (Industry 5.0) has been marked by the reformation witnessed in
consumer electronics sector by bringing forth technology that could enhance efficiency …

FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform

SS Tripathy, S Bebortta, CL Chowdhary, T Mukherjee… - Heliyon, 2024 - cell.com
The emergence of federated learning (FL) technique in fog-enabled healthcare system has
leveraged enhanced privacy towards safeguarding sensitive patient information over …

Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort

F Islam, JE Ball, CT Goodin - IEEE Access, 2024 - ieeexplore.ieee.org
The transportation system is moving towards higher levels of autonomy. Longitudinal speed
control, or adaptive cruise control (ACC), is intended to provide driver assistance by …

Towards Multi-Modal Deep Learning-Assisted Task Offloading for Consumer Electronic Devices Over An IoT-Fog Architecture

SS Tripathy, S Bebortta, MI ul Haque… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) devices along with associated software have proliferated at an
unprecedented pace, presenting the challenge of high energy use combined with latency …

A Deep Reinforcement Learning-based Two-dimensional Resource Allocation Technique for V2I communications

H Jin, J Seo, J Park, SC Kim - IEEE Access, 2023 - ieeexplore.ieee.org
This paper proposes a two-dimensional resource allocation technique for vehicle-to-
infrastructure (V2I) communications. Vehicular communications requires high data rates, low …

Dynamic partial computation offloading for the metaverse in in-network computing

I Aliyu, S Oh, N Ko, TW Um, J Kim - IEEE Access, 2023 - ieeexplore.ieee.org
The computing in the network (COIN) paradigm is a promising solution that leverages
unused network resources to perform tasks to meet computation-demanding applications …

An SDN-enabled fog computing framework for wban applications in the healthcare sector

SS Tripathy, S Bebortta, MA Mohammed, J Nedoma… - Internet of Things, 2024 - Elsevier
For healthcare systems utilizing Wireless Body Area Networks (WBANs), maintaining the
network's diverse Quality of Service (QoS) metrics necessitates effective communication …

Efficient Net-based Transfer Learning Technique for Facial Autism Detection

TS Mian - Scalable Computing: Practice and Experience, 2023 - scpe.org
Abstract Autism Spectrum Disorder is a neurological disorder in which an individual faces
life-long effects in communication and interaction with others. Nowadays, the Autism …