Industrial motors are subject to various faults which, if unnoticed, can lead to motor failure. The necessity of incipient fault detection can be justified by safety and economical reasons. The technology of artificial neural networks has been successfully used to solve the motor fault detection problem. This paper develops inexpensive, reliable, and noninvasive NN based fault detection scheme ...

support vector regression (svr) solves regression problems based on the concept of support vector machine (svm). in this paper, a new model of svr with probabilistic constraints is proposed that any of output data and bias are considered the random variables with uniform probability functions. using the new proposed method, the optimal hyperplane regression can be obtained by solving a quadrati...

In this study, I present a real-time gender and age estimation approach that I developed for the course project of Artificial Neural Networks. For these tasks, I employed a local appearance-based representation using Discrete Cosine Transform (DCT), which has been shown to be very effective in realtime processing and robust against changes caused by light and facial expressions. Using these fea...

since it is essential to deliver smoothed sinusoidal voltage to the customers, diagnosing power quality (pq) events has played important role in power delivery and conversion. this diagnostic scheme should be accurate to classify pq events from other events in power system. also it should be fast enough to rapidly mitigate pq events. in this paper, an algorithm based on core vector machine (cvm...

As the growth and development of various multimedia technologies in the field of CBIR many advanced information retrieval systems have become popular and has brought the new evolution in fast and effective retrieval. In this paper the techniques of image classification in CBIR are been discussed and compared. It also introduces classifiers like support vector machine, Bayesian classifier for ac...

Background: Early diagnosis of patients in the early stages of Alzheimer's, known as mild cognitive impairment, is of great importance in the treatment of this disease. If a patient can be diagnosed at this stage, it is possible to treat or delay Alzheimer's disease. Resting-state functional magnetic resonance imaging (fMRI) is very common in the process of diagnosing Alzheimer's disease. In th...