Thinkers in IT management and IT industry with slight difference in opinion have put forward various categories of staff members. Strategists, high ranking, or candidates for key positions use the Think Tank Room term...
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With the advent of various mobile IoT devices, a large amount of e-health record (EHR) data has been generated. This data has great potential to improve medical research. However, there are many challenges regarding t...
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Social networks are of utmost popularity in current era. People from various age groups are part of them as it attracts the user and totally engage them. As most of the social networks are publically available for eve...
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UML is the widely accepted formalism for software analysis and design. However, since UML models lack precise semantics, its inconsistencies or redundancies are hard to be detected. Current sophisticated CASE tools li...
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Auburn University, through the Army's Aviation and Missile Research, Development and engineering Center (AMRDEC) has been supporting the Unmanned Systems Initiative program. The research program at Auburn is focus...
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ISBN:
(纸本)9781622761449
Auburn University, through the Army's Aviation and Missile Research, Development and engineering Center (AMRDEC) has been supporting the Unmanned Systems Initiative program. The research program at Auburn is focused on designing new wireless systems to support UAV air and ground communications. Network simulation has been a key component of our research program. Specifically we have been working in three areas: - Use of commercial wireless technologies to provide secure, realtime video communication between UAV ground elements. - Assessment and evaluation of appropriate wireless security measures. - Development of a high fidelity modeling and simulation testbed to support the USI program. This paper will address the verification and validation of the simulation test bed. Comparisons of predicted simulation results against actual field testing will be discussed. Most importantly, we will address the challenges associated with high fidelity network simulation of NSA Type 1 crypto, video traffic and emerging COTS wireless protocols.
The continued development and deployment of distributed, real-time embedded systems technologies in recent years has resulted in a multitude of ecosystems in which service-oriented embedded systems can now be realised...
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Release planning activity is one of the important issues that project managers are always concerned about, because generation of a good quality release guaranties success of a product. PARSEQ method is aimed to improv...
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Graph neural networks(GNNs)have achieved state-of-the-art performance on graph classification tasks,which aim to pre-dict the class labels of entire graphs and have widespread ***,existing GNN based methods for graph ...
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Graph neural networks(GNNs)have achieved state-of-the-art performance on graph classification tasks,which aim to pre-dict the class labels of entire graphs and have widespread ***,existing GNN based methods for graph classification are data-hungry and ignore the fact that labeling graph examples is extremely expensive due to the intrinsic *** import-antly,real-world graph data are often scattered in different *** by these observations,this article presents federated collaborative graph neural networks for few-shot graph classification,termed *** its owned graph examples,each client first trains two branches to collaboratively characterize each graph from different views and obtains a high-quality local few-shot graph learn-ing model that can generalize to novel categories not seen while *** each branch,initial graph embeddings are extracted by any GNN and the relation information among graph examples is incorporated to produce refined graph representations via relation aggrega-tion layers for few-shot graph classification,which can reduce over-fitting while learning with scarce labeled graph ***,multiple clients owning graph data unitedly train the few-shot graph classification models with better generalization ability and effect-ively tackle the graph data island *** experimental results on few-shot graph classification benchmarks demonstrate the ef-fectiveness and superiority of our proposed framework.
Inpainting images becomes crucial, especially when dealing with the challenging LOKI zooplankton dataset. This research presents a novel framework for image inpainting, designed to optimize results through a systemati...
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Dynamic key management is a pre requisite for ensuring confidentiality, authentication and other security primitives, which are needed in almost every type of network especially for future body sensor networks which s...
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