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Delay-Doppler Information Acquisition in RIS-Enabled ISAC
In this chapter, delay-Doppler information acquisition in the RIS-enabled ISAC system is studied. In Sect. 4.1, the introduction is first provided....
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On Fisher Information Matrix, Array Manifold Geometry and Time Delay Estimation
The Fisher information matrix is used to evaluate the minimum variance-covariance of unbiased parameter estimation. It is also used, in natural...
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CSADE: a delay-sensitive scheduling method based on task admission and delay evaluation on edge–cloud collaboration
Compared with cloud computing, edge–cloud collaboration can avoid long transmitting delay to cloud since tasks are close to edge, which makes...
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A novel intelligent approach for flight delay prediction
Flight delay prediction is one of the most significant components of intelligent aviation systems that may spread throughout the whole aviation...
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Delay-Aware Hash Tree for Blockchain on Vehicular Delay Tolerant Networks
Blockchain (BC) technology is being applied to various applications with a lot of interest in data security. One of these applications is being...
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On the Routing Convergence Delay in the Lightning Network
Nodes in the Lightning Network synchronise routing information through a gossip protocol that makes use of a staggered broadcast mechanism. In this...
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Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network
Smart cities cannot function without autonomous devices that connect wirelessly and enable cellular connectivity and processing. Edge computing...
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Deriving Delay-Robust Timed Graph Transformation System Models
Distributed Cyber-Physical Systems (DCPSs) are omnipresent and their analysis against provided specifications is a central challenge. Hereby,...
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MPTD: optimizing multi-path transport with dynamic target delay in datacenters
In contemporary datacenter networks, various applications experience the challenge of incast occurrences. Data-intensive applications, particularly...
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Improving Network Delay Predictions Using GNNs
Autonomous network management is crucial for Fifth Generation (5G) and Beyond 5G (B5G) networks, where a constantly changing environment is expected...
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Cost Efficient Task Offloading for Delay Sensitive Applications in Fog Computing System
Fog computing has emerged as a promising solution to process tasks and computations generated by end devices. It enhances the quality of service for...
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Nonlinear Multiple-Delay Feedback Based Kernel Least Mean Square Algorithm
In this paper, a novel algorithm called nonlinear multiple-delay feedback kernel least mean square (NMDF-KLMS) is proposed by introducing a nonlinear...
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Generating Explanations for AI-Powered Delay Prediction in Software Projects
A project failure can be attributed to complex negative factors that can deviate project progress from the original schedules, and one of the root...
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Safety guarantee for time-delay systems with disturbances
Time delays occur in various engineering applications because they may be inherent in the plants or caused by networks. In this paper, we investigate...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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A multi-attribute-based data forwarding scheme for delay tolerant networks
Routing in Delay Tolerant Networks (DTNs) is a challenging problem due to the absence of an end-to-end path between source-destination pairs of...
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Experimental and numerical demonstration of hierarchical time-delay reservoir computing based on cascaded VCSELs with feedback and multiple injections
In this paper, we propose and demonstrate experimentally and numerically a hierarchical time-delay optical reservoir computing (RC) system based on...
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Impact of feature cross in hybrid optimization based convolutional neural networks for train delay prediction
Indian Railway is considered the biggest railway network among other networks; it operates passenger and freight trains. The government of India...
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Learning High-resolution Delay-and-sum Beamforming
Ultrasound (US) imaging is a versatile tool in modern healthcare diagnostics that often faces spatial resolution challenges. Although ultrasound...
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Reward Delay Attacks on Deep Reinforcement Learning
Most reinforcement learning algorithms implicitly assume strong synchrony. We present novel attacks targeting Q-learning that exploit a vulnerability...