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An enhanced energy and distance based optimized clustering and dynamic adaptive cluster-based routing in software defined vehicular network
Software-Defined Vehicular Networks (SDVN) have been established to facilitate secure and adaptable vehicle communication within the dynamic...
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An energy efficient data fault prediction based clustering and routing protocol using hybrid ASSO with MERNN in wireless sensor network
Wireless sensor networks (WSNs) and Internet of Things (IoT) are essential for numerous applications. WSN nodes often operate on limited battery...
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Efficient quality variable prediction of industrial process via fuzzy neural network with lightweight structure
Quality Variables of industrial processes generally require to be obtained as fast as possible. In this paper, a correlation-wise self-organizing...
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Production quality prediction of cross-specification products using dynamic deep transfer learning network
In the process of industrial production, products with different specifications (i.e., the difference in geometry, process conditions, and machine...
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A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
Transfer learning (TL)-based remaining useful life (RUL) prediction has been extensively studied and plays a crucial role under cross-working...
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Cross-domain adaptation network based on attention mechanism for tool wear prediction
On-machine monitoring of tool wear is of great significance in machining processes to enhance machining efficiencies and reduce cost. For the...
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Software dependability analysis under neutrosophic environment using optimized Elman recurrent neural network-based classification algorithm and Mahalanobis distance-based ranking algorithm
Dependability of software systems is one of the challenging issues for software developers. Main software dependability issues include reliability,...
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Towards prognostic generalization: a domain conditional invariance and specificity disentanglement network for remaining useful life prediction
Remaining useful life (RUL) prediction is an essential task in ensuring reliability in intelligent manufacturing. Recent advances in deep...
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Adaptive echo state network based-channel prediction algorithm for the internet of things based on the IEEE 802.11ah standard
The IEEE 802.11ah standard is designed to overcome the limited transmission range in conventional wireless local area network (WLAN) technologies and...
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Prediction of aircraft panel assembly deformation using a combined prediction model
Large size is one of the typical characteristics of aircraft panel components. These characteristics are prone to deformation during assembly...
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Load Prediction of Electric Vehicle Charging Station Based on Residual Network
In the context of the rapid development of electric vehicles, the uneven space-time distribution of charging station load has caused the loss of...
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A trip-based network travel risk: definition and prediction
Green logistics and environmentally-friendly logistics necessitates transport system to be reliable for delivery. The reliability of transport system...
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EDChannel: channel prediction of backscatter communication network based on encoder-decoder
Backscatter communication networks have attracted much attention due to their small size and low power waste, but their spectrum resources are very...
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Machine learning-based methods for MCS prediction in 5G networks
In the ever-evolving landscape of wireless communication systems, including fifth-generation (5G) networks and beyond (B5G), accurate Modulation and...
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Subpixel keypoint localization and angle prediction for lithography marks based on deep learning
AbstractThe alignment precision in lithography determines the pattern transfer quality, whereas the initial angular deviation between the wafer and...
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Unbalance prediction method of aero-engine saddle rotor based on deep belief networks and GA-BP intelligent learning
Aiming at the problems of complex and time-consuming process of manual adjustment of eccentricity and tilt in the evaluation of machining error of...
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Dynamic Relational Graph Convolutional Network for Metro Passenger Flow Forecasting
Due to the complex network structure and time-varying spatial relationships inherent in metro station systems, coupled with the influence of...
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Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation
Absolute positioning accuracy is a crucial index for evaluating industrial robot performance and the foundation for motion trajectory and machining...
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Convolutional neural network based multi-input multi-output model for multi-sensor multivariate virtual metrology in semiconductor manufacturing
Virtual metrology (VM) in semiconductor manufacturing is to predict product physical quality measurements using the processing information at a wafer...
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An Empirical Evaluation of Algorithms for Link Prediction
Online social networks (OSNs) analysis has been widely used in the field of information systems (IS), thus link prediction, one of the most important...
