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network level

Spam email filtering using network-level properties

Spam email filtering using network-level properties

... the network-level approach against AB and the corresponding bag-of-words method ...our network- level based methods still obtained high AUC values, around ...the network-level ...

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Towards Network-level Efficiency for Cloud Storage Services

Towards Network-level Efficiency for Cloud Storage Services

... users with relatively “poor” hardware or Internet access save on sync traffic, because their file updates are naturally batched. In a nutshell, our research findings demonstrate that for today’s cloud storage services, a ...

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Mining network-level properties of Twitter altmetrics data

Mining network-level properties of Twitter altmetrics data

... social network analysis techniques on the ‘mention’ network of Twitter ...the network-level properties of over ...the network motifs of influential Twitter users; and e) testing the ...

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Network Level Representation of Conceptual Content

Network Level Representation of Conceptual Content

... cortical network for perceiving and knowing about others coordinates to accomplish its diverse range of cognitive ...the network, we observed that regional coordination profiles grouped core regions with ...

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IMS signalling for multiparty services based on
network level multicast

IMS signalling for multiparty services based on network level multicast

... the network, producing a less scalable solution in terms of services and served ...core network and what is even more important, in the radio access network, where the bandwidth availability is ...a ...

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(Un)intended consequences of networking on individual and network-level efficiency

(Un)intended consequences of networking on individual and network-level efficiency

... the level of ...a network level, frequency change tends to be associated with higher efficiency than structural change, establishing the importance of increasing or decreas- ing communication ...

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Mechanistic-Empirical Modeling in Network-Level Pavement Management

Mechanistic-Empirical Modeling in Network-Level Pavement Management

... value as low as 14%. In a retroactive 5-year analysis, 86 sections were prescreened by using the existing models. Predictions indicated that 85 of the 86 sections would have been candidates for maintenance in the first 5 ...

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Am Implementation Of Orwell Model Simplifications For Network Level Simulation

Am Implementation Of Orwell Model Simplifications For Network Level Simulation

... and signalling traffic) can be given a higher priority. To ensure that all classes of traffic still have some access to the network, the d-counter is also divided into three counters, each representing one of the ...

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Network Level Anomaly Detection System with Principal Component Analysis

Network Level Anomaly Detection System with Principal Component Analysis

... the network security process which can detect the anomalies, it is required to keep watch on the network traffic of ...from network interface and examine them in java to gain different patterns of ...

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A framework and methods for on board network level fault diagnostics in automobiles

A framework and methods for on board network level fault diagnostics in automobiles

... compared with conventional This thesis is structured as follows: fault detection, isolation background literature the 2 Chapter general on provides in-vehicle its diagnosis applications,[r] ...

207

Network Governance at the Firm and Network Level: Goals, Routines, and Social Mechanisms

Network Governance at the Firm and Network Level: Goals, Routines, and Social Mechanisms

... Social network theories ...a network interact because of decoupling, subcontractors, and frequent movement of professionals among ...the network, which allows information, norms, and common ...

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High-Level Abstractions for Programming Network Policies

High-Level Abstractions for Programming Network Policies

... Third firewall. While we mostly focus on packetin events, NetEgg can be generalized to handle arbitrary events. In this use case, we will demonstrate how to use fields in symbolic packets to handle user-defined ...

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Capsule Network with Interactive Attention for Aspect Level Sentiment Classification

Capsule Network with Interactive Attention for Aspect Level Sentiment Classification

... Aspect-level sentiment classification is a cru- cial task for sentiment analysis, which aims to identify the sentiment polarities of specific targets in their context. The main challenge comes from multi-aspect ...

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Multi grained Attention Network for Aspect Level Sentiment Classification

Multi grained Attention Network for Aspect Level Sentiment Classification

... attention network (MGAN) model for aspect level sen- timent ...attention network consistently outperforms the state-of-the-art methods on all three ...

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Text Level Graph Neural Network for Text Classification

Text Level Graph Neural Network for Text Classification

... and has been used in many tasks in NLP includ- ing text classification (Defferrard et al., 2016), se- quence labeling (Zhang et al., 2018a), neural ma- chine translation (Bastings et al., 2017), and rela- tional ...

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High Level Synthesis of Neural Network Chips

High Level Synthesis of Neural Network Chips

... Intel Corporation has commercialised an experimental analogue chip, called the 80170NX Electrically Trainable Analogue Neural Network (ETANN) [1, 84]. The chip contains 64 neurons and 10,240 synapses (4,096 used ...

249

Character level Intra Attention Network for Natural Language Inference

Character level Intra Attention Network for Natural Language Inference

... convolutional neural network (CharCNN; Kim et al., 2016) is applied. We use the CharCNN to replace the word embedding layer in the baseline model, which will be computed from the charac- ters of corresponding ...

5

Transaction-level Modeling for a Network-on-chip Router in Multiprocessor System

Transaction-level Modeling for a Network-on-chip Router in Multiprocessor System

... higher level of abstraction. Transaction-level modeling is an approach to modeling digital systems where details of communication among modules are separated from the details of the implementation of the ...

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Character Level Convolutional Neural Network for German Dialect Identification

Character Level Convolutional Neural Network for German Dialect Identification

... Character level CNN as a feature extractor from ...a network with a recurrent layer takes a much longer time than training a network with a regular embedding ...

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Character Level Convolutional Neural Network for Arabic Dialect Identification

Character Level Convolutional Neural Network for Arabic Dialect Identification

... On the other hand, more research took place for written text dialect identification. Elfardy and Diab (2013) used word level labels to derive sentence-level features then used those features to label the ...

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