The applicability of reinforcement learning methods in the development of industry 4.0 applications
Reinforcement learning (RL) methods can successfully solve complex optimization
problems. Our article gives a systematic overview of major types of RL methods, their …
problems. Our article gives a systematic overview of major types of RL methods, their …
Challenges and future directions for energy, latency, and lifetime improvements in NVMs
Recently, non-volatile memory (NVM) technology has revolutionized the landscape of
memory systems. With many advantages, such as non volatility and near zero standby …
memory systems. With many advantages, such as non volatility and near zero standby …
Intrusion detection based on machine learning in the internet of things, attacks and counter measures
E Rehman, M Haseeb-ud-Din, AJ Malik… - The Journal of …, 2022 - Springer
Globally, data security and privacy over the Internet of Things (IoT) are necessary due to its
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …
emergence in daily life. As the IoT will soon invade each part of our lives, attention to IoT …
Lightweight actor-critic generative adversarial networks for real-time smart generation control of microgrids
K Han, K Yang, L Yin - Applied Energy, 2022 - Elsevier
Large-scale introduction of new energy could effectively alleviate energy shortage and
environmental pollution. However, the uncertainty of wind and solar energy brings serious …
environmental pollution. However, the uncertainty of wind and solar energy brings serious …
Somaca: A new swarm optimization-based and mobility-aware clustering approach for the internet of vehicles
The Internet of Vehicles (IoV) has evolved from the classic Vehicular Ad-hoc NETworks
(VANETs) as a result of the emergence of the Internet of Things (IoT). IoV is used for …
(VANETs) as a result of the emergence of the Internet of Things (IoT). IoV is used for …
An Innovative Data Integrity Verification Scheme in the Internet of Things assisted information exchange in transportation systems
X Shen, Y Lu, Y Zhang, X Liu, L Zhang - Cluster Computing, 2022 - Springer
The internet of things-based transport networks allows consumers to share services from
storage to devices to access the internet to other users. Broadcast fundamental safety …
storage to devices to access the internet to other users. Broadcast fundamental safety …
Multiphase fault tolerance genetic algorithm for vm and task scheduling in datacenter
Cloud datacenter (D c) have become popular in recent years with the rising popularity and
high performance of cloud computing. The multi-step of data computation and diverse task …
high performance of cloud computing. The multi-step of data computation and diverse task …
Vehicle artificial intelligence system based on intelligent image analysis and 5G network
B Liu, C Han, X Liu, W Li - International Journal of Wireless Information …, 2023 - Springer
Artificial Intelligence is a medium for machine intelligence that offers tremendous
opportunities for the intelligent industrial revolution. Smart transport, computer networks, and …
opportunities for the intelligent industrial revolution. Smart transport, computer networks, and …
IoVSSA: efficient mobility-aware clustering algorithm in internet of vehicles using sparrow search algorithm
Internet of Vehicles (IoV), a branch of Internet of Things utilized for vehicle-to-vehicle
communication, is attracting attention from both academia and industry. Vehicle nodes are …
communication, is attracting attention from both academia and industry. Vehicle nodes are …
[Retracted] Risk‐Based Access Control Mechanism for Internet of Vehicles Using Artificial Intelligence
Internet of Vehicles (IoV) systems are vulnerable to a wide range of attacks because of the
lack of security measures. IoV systems can be infiltrated by malicious and unauthorized …
lack of security measures. IoV systems can be infiltrated by malicious and unauthorized …