Decentralized energy efficient model for data transmission in IoT-based healthcare system
The growing world population is facing challenges such as increased chronic diseases and
medical expenses. Integrate the latest modern technology into healthcare system can …
medical expenses. Integrate the latest modern technology into healthcare system can …
SDN-enabled resource orchestration for industrial IoT in collaborative edge-cloud networks
Effective, long-lasting Industrial IoT (IIoT) solutions start with short-term gains and
progressively mature with added capabilities and value. The heterogeneous nature of IIoT …
progressively mature with added capabilities and value. The heterogeneous nature of IIoT …
Deep learning for the security of software-defined networks: a review
As the scale and complexity of networks grow rapidly, management, maintenance, and
optimization of them are becoming increasingly challenging tasks for network administrators …
optimization of them are becoming increasingly challenging tasks for network administrators …
A collaborative AI-enabled pretrained language model for AIoT domain question answering
Large-scale knowledge in the artificial intelligence of things (AIoT) field urgently needs
effective models to understand human language and automatically answer questions …
effective models to understand human language and automatically answer questions …
A rapid and convenient spatiotemporal calibration method of roadside sensors using floating connected and automated vehicle data
Cameras, millimeter-wave radars, and lidars are widely deployed on smart roads to obtain
personalized vehicle trajectories for advanced traffic control and risk avoidance. However …
personalized vehicle trajectories for advanced traffic control and risk avoidance. However …
Energy-efficient fuzzy data offloading for IoMT
The advancement of Internet of Things based technologies in healthcare monitoring systems
has evolved a new terminology, named Internet of Medical Things for medical services and …
has evolved a new terminology, named Internet of Medical Things for medical services and …
[HTML][HTML] Large-scale water quality prediction using federated sensing and learning: A case study with real-world sensing big-data
Green tide, which is a serious water pollution problem, is caused by the complex
relationships of various factors, such as flow rate, several water quality indicators, and …
relationships of various factors, such as flow rate, several water quality indicators, and …
Deep reinforcement based optimization of function splitting in virtualized radio access networks
Virtualized Radio Access Network (vRAN) is one of the key enablers of future wireless
networks as it brings the agility to the radio access network (RAN) architecture and offers …
networks as it brings the agility to the radio access network (RAN) architecture and offers …
A machine learning adaptive beamforming framework for 5G millimeter wave massive MIMO multicellular networks
The goal of this paper is to evaluate the performance of an adaptive beamforming approach
in fifth-generation millimeter-wave multicellular networks, where massive multiple-input …
in fifth-generation millimeter-wave multicellular networks, where massive multiple-input …
[HTML][HTML] Unsupervised machine learning techniques for detecting PLC process control anomalies
E Aboah Boateng, JW Bruce - Journal of Cybersecurity and Privacy, 2022 - mdpi.com
The security of programmable logic controllers (PLCs) that control industrial systems is
becoming increasingly critical due to the ubiquity of the Internet of Things technologies and …
becoming increasingly critical due to the ubiquity of the Internet of Things technologies and …