this paper presents the application of three main artificial neural networks (anns) in damage detection of steel bridges. this method has the ability to indicate damage in structural elements due to a localized change of stiffness called damage zone. the changes in structural response is used to identify the states of structural damage. to circumvent the difficulty arising from the non-linear n...

Automatic identification of insects and diseases has attracted researchers for the last few years. Researchers have suggested several algorithms to get around problems manually identifying pests. Image processing techniques deep convolution neural networks can overcome challenges manual insect classification. This work focused on optimizing assessing convolutional identification. AlexNet, Mobil...

This paper describes a knowledge-based system and other classical artificial intelligent techniques developed to identify imperfections or defects in industrial products. The defects we are studying used to appear on the piece external area (like spots, fractures, scratches, dark or white lines). The application of the system has been developed in wall or floor tiles factories and it has been s...

This paper describes a knowledge-based system and other classical artificial intelligent techniques developed to identify imperfections or defects in industrial products. The defects we are studying used to appear on the piece external area (like spots, fractures, scratches, dark or white lines). The application of the system has been developed in wall or floor tiles factories and it has been s...

Adaptive algorithms lead to adjust the system coefficients based on the measured data. This paper presents a dichotomous coordinate descent method to reduce the computational complexity and to improve the tracking ability based on the variable forgetting factor when there are a lot of changes in the system. Vedic mathematics is used to implement the multiplier and the divider in the VFF equatio...

OBJECTIVES System identification techniques have the potential to assess the contribution of the underlying systems involved in standing balance by applying well-known disturbances. We investigated the reliability of standing balance parameters obtained with multivariate closed loop system identification techniques. METHODS In twelve healthy elderly balance tests were performed twice a day du...

This work studies potential ways of integration of two techniques for fault detection, isolation, and identification in dynamic systems: Lydia-NG suite of diagnosis algorithms and Consistency-based Diagnosis with Possible Conflicts. By integrating both techniques, LydiaNG will benefit from a more efficient fault detection and isolation task, and Possible Conflicts will benefit from the identifi...

background: we aimed to extract the histogram features for text analysis and, to classify the types of bio medical waste (bmw) for garbage disposal and management. methods: the given bmw was preprocessed by using the median filtering technique that efficiently reduced the noise in the image. after that, the histogram features of the filtered image were extracted with the help of proposed modifi...