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Cybersecurity and blockchain usage in contemporary business
The use of computers is becoming more and more common. The power and maliciousness
of powerful attackers are increasing. Organizations must improve their ability to mitigate …
of powerful attackers are increasing. Organizations must improve their ability to mitigate …
Collision-aware routing using multi-objective seagull optimization algorithm for WSN-based IoT
In recent trends, wireless sensor networks (WSNs) have become popular because of their
cost, simple structure, reliability, and developments in the communication field. The Internet …
cost, simple structure, reliability, and developments in the communication field. The Internet …
Towards a high precision in AMI-based smart meters and new technologies in the smart grid
Due to its widespread serviceability, the sensor network receives considerable interest.
Within smart cities featuring multiple, collection and transmission, the function of the wireless …
Within smart cities featuring multiple, collection and transmission, the function of the wireless …
Probabilistic buckshot-driven cluster head identification and accumulative data encryption in WSN
Several nonterminal nodes in the ad-hoc sensor network architecture are involved in
effectively communicating data. There are not enough nodes other than the terminals to …
effectively communicating data. There are not enough nodes other than the terminals to …
Hybrid Block‐Based Lightweight Machine Learning‐Based Predictive Models for Quality Preserving in the Internet of Things‐(IoT‐) Based Medical Images with …
In the contemporary era of unprecedented innovations such as the Internet of Things (IoT),
modern applications cannot be imagined without the presence of a wireless sensor network …
modern applications cannot be imagined without the presence of a wireless sensor network …
Advancing medical recommendations with federated learning on decentralized data: A roadmap for implementation
This proposal presents a road-map for implementing federated learning (FL) for
personalized medical recommendations on decentralized data. FL is a privacy-preserving …
personalized medical recommendations on decentralized data. FL is a privacy-preserving …
Decentralized multiple hypothesis testing in Cognitive IOT using massive heterogeneous data
An emerging area of study known as Cognitive IoT (CIoT) has emerged as a result of recent
efforts to include cognition in the design of the Internet of Things (IoT). Several features and …
efforts to include cognition in the design of the Internet of Things (IoT). Several features and …
[PDF][PDF] A Hybrid Approach to Neighbour Discovery in Wireless Sensor Networks.
In the contemporary era of unprecedented innovations such as Internet of Things (IoT),
modern applications cannot be imagined without the presence of Wireless Sensor Network …
modern applications cannot be imagined without the presence of Wireless Sensor Network …
q-Spherical Fuzzy Rough Frank Aggregation Operators in AI Neural Networks: Applications in Military Transport Systems
This study introduces a novel neural network approach integrating q-spherical fuzzy rough
Frank aggregation operators, aiming to enhance AI systems' resilience to uncertain and …
Frank aggregation operators, aiming to enhance AI systems' resilience to uncertain and …
[HTML][HTML] Impersonation attack detection in mobile edge computing by levering sarsa technique in physical layer security
Smart health systems typically integrate sensor technology with the Internet of Things,
enabling healthcare systems to monitor patients. These biomedical applications collect …
enabling healthcare systems to monitor patients. These biomedical applications collect …