Browsing Academic by Subject "Neural networks"
Now showing items 1-20 of 52
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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
( Elsevier B.V. , 2018 , Article)Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ... -
A grid-connected cascaded H-bridge multilevel converter with quasi seven-level Selective Harmonic Elimination
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a high power grid-connected cascaded H-bridge multilevel inverter (CHB-MLI) operating with Selective Harmonic Elimination (SHE) is presented complying with the low switching frequency operation limitation. ... -
A hybrid prognosis and health monitoring strategy by integrating particle filters and neural networks for gas turbine engines
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)In this paper, a novel hybrid structure is proposed for the development of health monitoring techniques of nonlinear systems by integration of model-based and computationally intelligent and data-driven techniques. In our ... -
A neural network algorithm for hardware-software verification
( IEEE , 2003 , Conference Paper)Formal verification is the task of proving that a property holds for a model of a design. This paper examines the idea of a Neural Network-based algorithm used to find the set of states that makes a specification valid. ... -
A power control strategy for flywheel doubly-fed induction machine storage system using artificial neural network
( Elsevier Ltd , 2013 , Article)A large-capacity low-speed flywheel energy storage system (FESS) based on a doubly-fed induction machine (DFIM) consists of a wound-rotor induction machine and a back-to-back converter rated at 30-35% of the machine power ... -
Active vibration control of flexible cantilever plates using piezoelectric materials and artificial neural networks
( Academic Press , 2016 , Article)The study presented in this paper introduces a new intelligent methodology to mitigate the vibration response of flexible cantilever plates. The use of the piezoelectric sensor/actuator pairs for active control of plates ... -
Adaptive and Predictive Control of Liquid-Liquid Extractors Using Neural-Based Instantaneous Linearization Technique
( WILEY-VCH Verlag GmbH & Co. , 2006 , Article)Nonlinearity of the extraction process is addressed via the application of instantaneous linearization to control the extract and raffinate concentrations. Two feed-forward neural networks with delayed inputs and outputs ... -
An Accurate Reservoir's Bubble Point Pressure Correlation
( American Chemical Society , 2022 , Article)Bubble point pressure (Pb) is essential for determining petroleum production, simulation, and reservoir characterization calculations. The Pbcan be measured from the pressure-volume-temperature (PVT) experiments. Nonetheless, ... -
An approach for constructing complex discriminating surfaces based on Bayesian interference of the maximum entropy
( Elsevier Inc. , 2003 , Article)In this paper we present a comprehensive Maximum Entropy (MaxEnt) procedure for the classification tasks. This MaxEnt is applied successfully to the problem of estimating the probability distribution function (pdf) of a ... -
Artificial neural network-based kinematics Jacobian solution for serial manipulator passing through singular configurations
( Elsevier Ltd , 2009 , Article)Singularities and uncertainties in arm configurations are the main problems in kinematics robot control resulting from applying robot model, a solution based on using Artificial Neural Network (ANN) is proposed here. The ... -
A blockchain and deep neural networks-based secure framework for enhanced crop protection
( Elsevier B.V. , 2021 , Article)The problem faced by one farmer can also be the problem of some other farmer in other regions. Providing information to farmers and connecting them has always been a challenge. Crowdsourcing and community building are ... -
Control of doubly-fed induction machine storage system for constant charging/discharging grid power using artificial neural network
( IET , 2012 , Conference Paper)A large-capacity low-speed flywheel energy storage system based on a doubly-fed induction machine (DFIM) basically consists of a wound-rotor induction machine, and a back-to-back converter for rotor excitation. It has been ... -
Control of plate vibrations with artificial neural networks and piezoelectricity
( Springer New York LLC , 2020 , Conference Paper)This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ... -
Convolutional neural networks for real-time and wireless damage detection
( Springer New York LLC , 2020 , Conference Paper)Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ... -
Credit default swap pricing using artificial neural networks
(2010 , Conference Paper)The credit derivatives market has experienced unprecedented growth over the past few years. As such, there is a growing interest in tools for pricing the most prominent credit derivative, the credit default swap. In this ... -
Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays
( Springer Verlag , 2019 , Conference Paper)This paper dealt with the dissipativity problem for a class of competitive neural networks with proportional delays. Based on Lyapunov functionals approach, new sufficient conditions are derived to ensuring the strictly ... -
DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)With the emergence of smart cities, Internet of Things (IoT) devices as well as deep learning technologies have witnessed an increasing adoption. To support the requirements of such paradigm in terms of memory and computation, ... -
Drone-SCNet: Scaled Cascade Network for Crowd Counting on Drone Images
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Crowd management is an essential task to ensure the safety and smoothness of any event. Using novel technologies, including surveillance cameras, drones, and the communication techniques between security agents, the control ... -
Early Bearing Fault Diagnosis of Rotating Machinery by 1D Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Preventive maintenance of modern electric rotating machinery (RM) is critical for ensuring reliable operation, preventing unpredicted breakdowns and avoiding costly repairs. Recently many studies investigated machine ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ...