Browsing by Subject "Artificial Neural Networks"
Now showing items 1-6 of 6
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A method for broken bar fault diagnosis in three phase induction motor drive system using Artificial Neural Networks
( Taylor and Francis Ltd. , 2021 , Article)This paper presents a high accuracy detection of Broken Rotor Bar (BRB) fault by Artificial Neural Network (ANN) through advanced signal processing tool as Hilbert Transform (HT) where three phase Induction Motor Drives ... -
An Artificial Intelligence Approach to Estimate Peak-Hour Travel Time
( Institute of Electrical and Electronics Engineers Inc. , 2023 , Conference Paper)Average delays are an example of traffic network performance measures. They can be measured at intersections to estimate the average delay per vehicle at various levels, such as intersection, approach, or lane group. On ... -
Hybrid intelligent system for disease diagnosis based on artificial neural networks, fuzzy logic, and genetic algorithms
(2011 , Conference Paper)Disease diagnosis often involves acquiring medical images using devices such as MRI, CT scan, x-ray, or mammograms of patients' organs. Though many medical diagnostic applications have been proposed; finding subtle cancerous ... -
Real-Time Dynamic Transit Signal Priority Optimization for Coordinated Traffic Networks Using Genetic Algorithms and Artificial Neural Networks
( Taylor and Francis Inc. , 2015 , Article)Transit signal priority (TSP) has gained popularity in providing public transportation buses with preferential treatment at signalized intersections. Many studies have addressed its implementation in prompting enhanced ... -
STOCK MARKET FORECASTING: AN APPLICATION OF LONG SHORT TERM MEMORY (LSTM) RECURRENT NEURAL NETWORK
(2018 , Professional Masters Project)Predicting stock market prices is regarded as a challenging task of financial time series, due to its chaotic, non-linear, non-stationary and dynamic nature. In this project we address the problem of stock market forecasting ... -
Supervised machine learning techniques for efficient network intrusion detection
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Cloud computing is gaining significant traction and virtualized data centers are becoming popular as a cost-effective infrastructure in telecommunication industry. Infrastructure as a Service (IaaS), Platform as a Service ...