Synapse-mimetic hardware-implemented resistive random-access memory for artificial neural network
Memristors mimic synaptic functions in advanced electronics and image sensors, thereby
enabling brain-inspired neuromorphic computing to overcome the limitations of the von …
enabling brain-inspired neuromorphic computing to overcome the limitations of the von …
ADAI and adaptive PSO-based resource allocation for wireless sensor networks
Resource allocation in the Internet of Things (IoT) applications for Wireless Sensor Networks
(WSNs) is a challenging problem that requires tasks processing from the appropriate sensor …
(WSNs) is a challenging problem that requires tasks processing from the appropriate sensor …
Multi-agent-based smart power management for remote health monitoring
In the Internet of things (IoT) paradigm, wireless sensor networks (WSNs) contribute hugely
by connecting all the devices for smart application purposes. The smart applications include …
by connecting all the devices for smart application purposes. The smart applications include …
Enhanced particle swarm optimization for reliable data transmission in WSN
The main objective is to propose a reliable framework for data routing in wireless
infrastructure without any delays and loss from one end to the other. Therefore, a Reliable …
infrastructure without any delays and loss from one end to the other. Therefore, a Reliable …
Computational Intelligence Techniques for Cyberspace Intrusion Detection System
A Ikram, SG Tawaseem, MY Ayub… - Big Data Analytics and …, 2022 - Springer
The main purpose of this study is to present ways and methods which could be used against
malicious cyber activities that cause trouble and harm to our system and networks. Ways that …
malicious cyber activities that cause trouble and harm to our system and networks. Ways that …