Mist-fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0

AR Dalabehera, S Bebortta, N Kumar, D Senapati - Internet of Things, 2024 - Elsevier
Face emotion recognition (FER) has found several applications across numerous industries.
One such application area lies in the field of human–computer interaction, where it can …

IGWOA: Improved Grey Wolf optimization algorithm for resource scheduling in cloud-fog environment for delay-sensitive applications

G Goel, R Tiwari - Peer-to-Peer Networking and Applications, 2024 - Springer
Fog computing, a technology that offers adaptable and scalable computing resources, facing
a significant difficulty in task scheduling, affecting system performance and customer …

QoS and reliability aware matched bald eagle task scheduling framework based on IoT-cloud in educational applications

SK Chowdhary, ALN Rao - Cluster Computing, 2024 - Springer
Cloud computing is a popular paradigm that enables on-demand access to shared
resources over the internet. Task scheduling is an important aspect of cloud computing that …

An improved resource scheduling strategy through concatenated deep learning model for edge computing IoT networks

G Vijayasekaran… - International Journal of …, 2024 - Wiley Online Library
With increasing challenges and research in edge‐assisted IoT models, an improved
resource scheduling approach exploiting deep learning concepts is proposed in this …

Quality of Service Based on Scheduling in Cloud/Fog Environment

L Mall, P Vashisht, A Narang - International Journal of …, 2024 - ijirem.irpublications.org
In the area of fog and cloud computing, efficient work scheduling is critical for optimising
resource allocation and raising Quality of Service (QOS) levels. Research in this area has …