Titlebook: Engineering Applications of Neural Networks; 18th International C Giacomo Boracchi,Lazaros Iliadis,Aristidis Likas Conference proceedings 2

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书目名称Engineering Applications of Neural Networks影响因子(影响力)




书目名称Engineering Applications of Neural Networks影响因子(影响力)学科排名




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书目名称Engineering Applications of Neural Networks网络公开度学科排名




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书目名称Engineering Applications of Neural Networks被引频次学科排名




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书目名称Engineering Applications of Neural Networks年度引用学科排名




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书目名称Engineering Applications of Neural Networks读者反馈学科排名

MURAL

Analysis of Parallel Process in HVAC Systems Using Deep Autoencoders achieve their nominal capacity. These parallel subsystems and elements should have the same behavior and, therefore, differences between them can reveal failures and inefficiency in the system. The complexity in HVAC systems comes from the number of variables involved in these processes. For that r

genesis

A Neural Network Approach for Predicting the Diameters of Electrospun Polyvinylacetate (PVAc) Nanofirs produced by the electrospinning process and it supposes to be a preliminary work for future and industrial applications. The experimental data gathered from the literature form the basis for generating a more consistent sample through standard interpolation. The inputs of the NN are the polymer c

Airtight

Flustered

Memristor Based Chaotic Neural Network with Application in Nonlinear Cryptosystemcryptography by providing increased security. In this paper, a description of an algorithm for the generation of an initial value for encryption using neural network involving memristor and chaotic polynomials is provided. The chaotic series that is obtained is combined with nonlinear 1 Dimensional

撕裂皮肉

DSS-PSP - A Decision Support Software for Evaluating Students’ Performancely recognize those students who are likely to exhibit poor performance. In this work, we introduce a new decision support software for predicting the students’ performance at the final examinations. The proposed software is based on a novel 2-level classification technique which achieves better perf

撕裂皮肉

Jocose

Guaff豪情痛饮

Intrinsic Plagiarism Detection with Feature-Rich Imbalanced Dataset Learningstencies within the document itself. The main idea consists in profiling the style of the original author and marking as outliers the passages that seem to differ significantly. Besides some novel stylistic and semantic features, the present work proposes a new approach to the problem, where machine

In-Situ

A Spiking One-Class Anomaly Detection Framework for Cyber-Security on Industrial Control Systemscollection and processing of real-time data, have introduced a large number of new threats. These threats are primarily related to the specific tasks these applications perform, such as their distinct design specifications, the specialized communication protocols they use and the heterogeneous devic