In this paper, the synchronization problem of coupled reaction–diffusion neural networks (CRDNNs) is considered by using pinning event-triggered sampled-data (PETSD) control method under spatially point measurements. To save the limited ...

With the advancement of technology, intelligent unmanned aerial vehicle swarms (UAV-S) are playing an increasingly significant role across various industries, and sensing is one of their key capabilities that enable UAV-S to operate more effectively in ...

To satisfy the requirements of content distribution in computation-intensive and delay-sensitive services, this paper presents a novel joint task offloading and content caching (JTOCC) scheme in multi-cell multi-carrier non-orthogonal multiple-access (...

Remote healthcare has been an important application of 6G and is increasingly attracting attention. In the field of medical image analysis, federated learning (FL) is widely considered for medical data collected by Internet of medical things (loMT) ...

This article introduces a fuzzy boundary sampled-data (SD) control approach for a nonlinear distributed parameter system (DPS) with random time-varying delay, which belongs to two intervals and is considered by a probabilistic way to take the influence of ...

Nowadays, numerous mobile devices (MDs) provide nearly anytime and anywhere services, running on top of various computation-intensive applications. However, bearing limited battery, bandwidth, computing, and storage resources, MDs cannot ...

• A hybrid system architecture is designed and characterized by triple queueing models.
• A constrained total cost minimization problem with multiple constraints is formulated.
• The cost minimization problem is solved by a hybrid ...

Accurately identifying network intrusion cannot only help individuals and enterprises better deal with network security problems, but also maintain the Internet environment. This work proposes a new hybrid classification method named SABD for ...

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• A hybrid method named SABD is given for network intrusion detection.
• It uses stacked sparse contractive autoencoders to extract features in data.
• It uses an attention-based bidirectional LSTM to realize the classification.
• It ...

Neural network compression is a widely used technique when deploying the neural network in energy-constrained and computation-constrained devices. To guarantee the compressed neural network is still usable without too much accuracy loss, the ...

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Robotic assembly lines are widely applied in the manufacturing sector to produce a wide range of products because of their efficiency and multifunctionality. The robotic assembly line balancing problem (RALBP) is a combinatorial optimization ...

• A robotic assembly line balancing problem with carbon footprint objective.
• The carbon footprint is computed by the electricity consumption of robots.
• Cross-station design is used to reduce the carbon footprint.
• A particle swarm ...

Accurate prediction of water quality indicators can effectively predict sudden water pollution events and reveal them to water users for reducing the impact of water quality pollution. Neural networks, e.g., Long Short-Term Memory (LSTM) and ...

• A hybrid prediction method VBAED is designed to predict water quality time series.
• VBAED combines VMD, bidirectional input attention, encoder–decoder, and BiLSTM.
• It uses bidirectional input attention to add weights to features in ...

For nonlinear distributed parameter systems (DPSs) with multiple delays, this study considers a fuzzy fault-tolerant boundary control (BC) with stochastic actuator failures under boundary measurement. First, we exactly represent the nonlinear DPS with ...

Phrase mining is a fundamental text mining task that aims to identify quality phrases from context. Nevertheless, the scarcity of extensive gold labels datasets, demanding substantial annotation efforts from experts, renders this task ...

Due to the emergence of new network attack technologies, cloud manufacturing platforms may be subject to various network attacks at any time. Traditional network attack prediction aims to predict the upcoming types of network attacks with ...

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• A hybrid network attack detection method is given for a cloud manufacturing platform.
• It adopts a Savitzky–Golay filter for data smoothing and noise elimination.
• It adopts a self-attention mechanism of an encoder to reduce network ...

In the era of Industry 4.0, Production Logistic Digital Twins (PLDTs) have garnered remarkable attention from both academic and industrial communities. This is evident from the growing number of research publications on PLDTs in ...

With the rapid development of intelligent connected vehicles (ICVs), their intelligent, remote, and high-speed mobility characteristics have led to an expansion of their attack surface, and thus an increase in security requirements. Consequently, security ...

Under boundary measurement (BM), this paper solves the synchronization problem via intermittent boundary proportional–derivative (PD) control of delayed reaction–diffusion neural networks (RDNNs), where the random time-varying delay (...

To meet the requirements of ubiquitous connectivity, the sixth-generation (6G) is expected to support higher frequencies such as millimeter waves and terahertz, as well as high-mobility scenarios like unmanned aerial vehicles and vehicular networks. ...

Microservices identification is the key development process of cloud-native applications. It focuses on decomposing system into decoupling autonomous components to support development and deployment independently. This process requires sophisticated human ...

Microservices is a crucial architecture design pat-tern for developing cloud-native applications, which focuses on decomposing a large and complex software system into autonomous components that can be independently developed and deployed. However, ...

<italic>Overprivilege Attack</italic>, a widely reported phenomenon in IoT that accesses unauthorized or excessive resources, is notoriously hard to prevent, trace and mitigate. In this paper, we propose TBAC, a Tokoin-Based Access Control model enabled ...