04098nam a22005775i 4500 978-3-031-48465-0 DE-He213 20251030111500.0 cr nn 008mamaa 240304s2024 sz | s |||| 0|eng d 9783031484650 978-3-031-48465-0 10.1007/978-3-031-48465-0 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema Artificial Intelligence, Data Science and Applications [electronic resource] : ICAISE’2023, Volume 1 / edited by Yousef Farhaoui, Amir Hussain, Tanzila Saba, Hamed Taherdoost, Anshul Verma. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 571 p. 256 illus., 202 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 837 Sustainability in Internet of Things: Insights & Scope -- Machine Learning in Finance Case of Credit Scoring -- Prediction of coefficient of friction and wear rate of Stellite 6 coatings manufactured by LMD using Machine Learning -- Predicting Future Sales: A Machine Learning Algorithm Showdown -- A detailed study on the Game of Life -- A decision-making model for selecting solutions and improvement actions using fuzzy logic -- Sensored Brushless DC motor control based on an Artificial Neural Network controller -- A Machine Learning Based Approach to Analyze the Relationship Between Process Variables and Process Alarms -- Improving the Resolution of Images using Super-Resolution Generative Adversarial Networks -- Three Levels of Security Including Scrambling, Encryption and Embedding Data as Row in Cover Image with DNA Reference Sequence. This book is to provide a comprehensive reference for professionals in the field of data science and applications: artificial intelligence, big data, IoT, and blockchain. In summary, this book is expected to function as a helpful resource and manual, enabling readers to navigate the intricate domain of artificial intelligence, the Internet of things (IoT), and blockchain in smart environments. This book covers many topics related to integrating AI, IoT, blockchain, and smart environments. It begins by laying a solid foundation, introducing each technology's fundamental concepts and principles. Subsequent chapters explore applications and real-world use cases, demonstrating how AI, IoT, and blockchain can effectively address critical challenges within data science and applications. Computational intelligence. 64052 Engineering Data processing. Artificial intelligence. 58441 Computational Intelligence. 64052 Data Engineering. 66059 Artificial Intelligence. 58441 Farhaoui, Yousef. editor. edt http://id.loc.gov/vocabulary/relators/edt 70077 Hussain, Amir. editor. edt http://id.loc.gov/vocabulary/relators/edt 70078 Saba, Tanzila. editor. edt http://id.loc.gov/vocabulary/relators/edt 70079 Taherdoost, Hamed. editor. edt http://id.loc.gov/vocabulary/relators/edt 70080 Verma, Anshul. editor. edt http://id.loc.gov/vocabulary/relators/edt 70081 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031484643 Printed edition: 9783031484667 Lecture Notes in Networks and Systems, 2367-3389 ; 837 https://doi.org/10.1007/978-3-031-48465-0 ZDB-2-INR ZDB-2-SXIT 58097 58097