Browsing Academic by Subject "neural network"
Now showing items 1-8 of 8
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An Intelligent Hybrid Experimental-Based Deep Learning Algorithm for Tomato-Sorting Controllers
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Conventionally, the methods used for the sorting of tomatoes are manual. These methods are costly, non-productive, and their reliability is uncertain. With advancing technology, deep-learning, and artificial intelligence ... -
Artificial neural network metamodel for sensitivity analysis in a total hip replacement health economic model.
( Taylor & Francis , 2019 , Article): Metamodels have been used to approximate complex simulations and have many applications with sensitivity analysis, optimization, etc. However, their use in health economics is very limited. Application of artificial ... -
Comparison of BPN, RBFN and wavelet neural network in induction motor modelling for speed estimation
( Taylor and Francis Ltd. , 2020 , Article)This paper discusses the question of estimating a neural network induction motor speed. The neural network is trained in the relationship between stator currents and rotor speed. Rotor currents and speed are created using ... -
Crushing analysis and multi-objective optimization of different length bi-thin walled cylindrical structures under axial impact loading
( Taylor and Francis Ltd. , 2019 , Article)This article attempts to increase the crashworthiness characteristics of energy absorbers. It is found that the effect of the bi-tubular arrangement on the energy absorption and peak force is nonlinear. This nonlinearity ... -
Detecting Attackers during Quantum Key Distribution in IoT Networks using Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Conference Paper)Internet of Things (IoT) deployments face significant security challenges due to the limited energy and computational power of IoT devices. These challenges are more serious in the quantum communications era, where certain ... -
Detection of Periapical Lesions on Panoramic Radiographs Using Deep Learning
( MDPI , 2023 , Article)Dentists could fail to notice periapical lesions (PLs) while examining panoramic radiographs. Accordingly, this study aimed to develop an artificial intelligence (AI) designed to address this problem. Materials and methods: ... -
Estimation of highly selective channels for downlink LTE systemby a robust neural network
( Hamad bin Khalifa University Press (HBKU Press) , 2010 , Conference Paper)In this paper we propose a robust channel estimator for the downlink of a Long Term Evolution (LTE) system using a highly selective neural network. This method uses the information provided by the reference signals to ... -
Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
( American Society of Mechanical Engineers (ASME) , 2017 , Article)This paper compares and evaluates the performance of two major feature selection and fault identification methods utilized for the condition monitoring (CM) of centrifugal equipment, namely fast Fourier transform (FFT)-based ...