Browsing 01.NU Schools by Subject "Machine Learning"

Now showing items 1-3 of 3

DEVELOPMENT OF A PREDICTIVE TOOL FOR MACHINE FAILURE TIMES USING ADVANCED DATA ANALYTICS METHODS

Ayapbergenov, Alibek; Yedilova, Aruzhan; Zhanaliyev, Askar; Kospagambetov, Medet (Nazarbayev University School of Engineering and Digital Sciences, 2022-05)

Any company in the industrial sector requires constant and uninterrupted operation of its systems as it directly affects an organization's success. Both planned and unplanned line stoppages result in excessive production ...
FAULT RECOGNITION AND DIAGNOSIS IN INDUSTRIAL EQUIPMENT USING SENSORY DATA AND RECURRENT NEURAL NETWORKS

Amangeldiyev, Abylay; Makhmutkaliyeva, Aidana; Orazgali, Bektas; Beltenov, Nurtay (Nazarbayev University School of Engineering and Digital Sciences, 2021-05)

Industries face a problem with unexpected failure of equipment and their parts, which often leads to operation stoppage and increased costs. In order to decrease abovementioned risks, it is needed to implement predictive ...
RESPOND OF SMART CITIES TO PANDEMIC COVID-19

Bayat, Mohammad Nawid (School of Engineering and Digital Sciences, 2023)

Over the past several years, smart cities have gained widespread recognition worldwide because they facilitate a better life for people and bring substantial changes in society; more specifically, smart cities impact the ...