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Dynamic real-time pricing mechanism for electric vehicles charging considering optimal microgrids energy management system
Managing electric vehicles (EVs) charging activities when the power grid is congested is a
challenging task. This article proposes a dynamic, real-time, demand-influenced energy …
challenging task. This article proposes a dynamic, real-time, demand-influenced energy …
Use of security logs for data leak detection: a systematic literature review
Security logs are widely used to monitor data, networks, and computer activities. By
analyzing them, security experts can pick out anomalies that reveal the presence of cyber …
analyzing them, security experts can pick out anomalies that reveal the presence of cyber …
Surface roughness prediction in fused deposition modelling by neural networks
A Boschetto, V Giordano, F Veniali - The International Journal of …, 2013 - Springer
Fused deposition modelling is a proven technology for the fabrication of both aesthetic and
functional prototypes. The obtainable roughness is the most limiting aspect for its …
functional prototypes. The obtainable roughness is the most limiting aspect for its …
Iot network cybersecurity assessment with the associated random neural network
This paper proposes a method to assess the security of an device, or IP address, IoT
network by simultaneously identifying all the compromised IoT devices and IP addresses. It …
network by simultaneously identifying all the compromised IoT devices and IP addresses. It …
Learning in the feed-forward random neural network: A critical review
The Random Neural Network (RNN) has received, since its inception in 1989, considerable
attention and has been successfully used in a number of applications. In this critical review …
attention and has been successfully used in a number of applications. In this critical review …
[HTML][HTML] System-wide vulnerability of multi-component software
In software systems comprised of many interconnected components, the vulnerability of
each component will affect the vulnerability of other components and of the system as a …
each component will affect the vulnerability of other components and of the system as a …
[HTML][HTML] A novel approach to traffic modelling based on road parameters, weather conditions and GPS data using feedforward neural networks
This article presents the development of a estimation model using an artificial neural
network to estimate the traffic factor parameter, which reflects changes in travel time for a …
network to estimate the traffic factor parameter, which reflects changes in travel time for a …
Application of Instrumented Indentation Test and Neural Networks to determine the constitutive model of in-situ austenitic stainless steel components
Over the last few decades, Instrumented Indentation Test (IIT) has evolved into a versatile
and convenient method for assessing the mechanical properties of metals. Unlike …
and convenient method for assessing the mechanical properties of metals. Unlike …
Bayesian regularization-based Levenberg–Marquardt neural model combined with BFOA for improving surface finish of FDM processed part
Fused deposition modeling has a complex part building mechanism making it difficult to
obtain reasonably good functional relationship between responses and process parameters …
obtain reasonably good functional relationship between responses and process parameters …
A neural network-based soft sensor for particle size distribution using image analysis
YD Ko, H Shang - Powder Technology, 2011 - Elsevier
Many industrial processes require on-line measurement of particle size and particle size
distribution for process monitoring and control. The available techniques for reliable on-line …
distribution for process monitoring and control. The available techniques for reliable on-line …