Artificial Intelligence Applications Proceeding (12 results)

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: As New. Unread book in perfect condition.

Condition: New.

Taschenbuch. Condition: Neu. The Proceeding of the 1st International Conference | on Artificial Intelligence and its Applications (AIAP2018) | Brahim Lejdel | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203195316 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

Taschenbuch. Condition: Neu. Artificial Intelligence and Its Applications | Proceeding of the 2nd International Conference on Artificial Intelligence and Its Applications (2021) | Brahim Lejdel (u. a.) | Taschenbuch | Lecture Notes in Networks and Systems | xi | Englisch | 2022 | Springer | EAN 9783030963101 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book contains the proceedings of the second edition of the international Conference on Artificial Intelligence and its Applications (AIAP'21). This edition aims to bring together leading academic scientists, international researchers, and practitioners to exchange and share their experiences and research results on all aspects of Artificial Intelligence. It also provides an interdisciplinary platform for researchers, practitioners and students to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence. This international conference offers an opportunity to bridge the gap between the Artificial Intelligence research community and people from the industry or working in other research areas including smart cities, big data, cloud computing, social networks, and energy.

Condition: Gut. Zustand: Gut | Seiten: 616 | Sprache: Englisch | Produktart: Bücher | This book contains the proceedings of the second edition of the international Conference on Artificial Intelligence and its Applications (AIAP'21). This edition aims to bring together leading academic scientists, international researchers, and practitioners to exchange and share their experiences and research results on all aspects of Artificial Intelligence. It also provides an interdisciplinary platform for researchers, practitioners and students to present and discuss the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of Artificial Intelligence. This international conference offers an opportunity to bridge the gap between the Artificial Intelligence research community and people from the industry or working in other research areas including smart cities, big data, cloud computing, social networks, and energy.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The aim of this study is to apply artificialintelligence to predict performance of inorganic inhibitors. Theseinhibitors are used to inhibit the localized corrosion of carbonsteel in secondary cooling circuit of a nuclear facility. Theperformance of inhibitors has been evaluated by the pittingpotential (Epit) which was obtained through potentiodynamicpolarization. The relationship between Epit and factorsinfluencing pitting corrosion is very complex. Therefore, DeepNetwork using Auto-Encoders DN-AE was used to predict pittingpotential Epit. Various parameters of DN-AE are optimized todetermine optimal parameters and to obtain the best accuracy.The correlation coefficient (R) is used as evaluation statisticcriteria to determine the performance of DN-AE. Allexperimental results obtained from electrochemical experimentare collected in a table to use in the prediction work.The results obtained after optimization of the parameters ofDN-AE showed the ability of DN-AE to predict Epit with goodperformance. The optimal accuracy was obtained with squaredform of concentration and 24 neurons in each auto-encoderslayers. Moreover, 2/3 represents the optimal fraction betweentraining data.

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND.