A Systematized Framework for Smart Libraries using IoT and ML: A fully automated library management system using Internet of Things (IoT) and Machine Learning (ML) Approaches - Brossura
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A Systematized Framework for Smart Libraries using IoT and ML: A fully automated library management system using Internet of Things (IoT) and Machine Learning (ML) Approaches
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
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Da: Books Puddle, New York, NY, U.S.A.
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Condizione: New. Codice articolo 26397285265
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A Systematized Framework for Smart Libraries using IoT and ML
Editore:
LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a fully automated structure for a smart library using the Internet of Things (IoT), which is enhanced further by using Machine Learning. The role of IoT is to enhance the quality and improve the efficiency of services being provided. Also, to ensure proper utilization of resources and secure the library data. The inclusion of QR technology provides a strong authentication to prevent thefts. The integration of MOODLE, i.e. a learning management system, into the library, is used to establish a connective network between the college librarians, students and their respective departments. The student book usage data is further used to recommend other books to students which are relevant to their field of study. The pool of resource usage data can be qualitatively used to understand the student learning habits, based on which predictive analysis has been made using Sentiment Analysis. This facilitates the updation of books and resources in the library to ensure that the students use the resources righteously and understand their subjects thoroughly. The same can be used by faculty members to modify their assignments, and also use the integrated LMS portal effectively. 52 pp. Englisch. Codice articolo 9786200265760
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Foto dell'editore
A Systematized Framework for Smart Libraries using IoT and ML: A fully automated library management system using Internet of Things (IoT) and Machine Learning (ML) Approaches
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
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Da: Majestic Books, Hounslow, Regno Unito
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Condizione: New. Print on Demand. Codice articolo 400140366
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A Systematized Framework for Smart Libraries using IoT and ML: A fully automated library management system using Internet of Things (IoT) and Machine Learning (ML) Approaches
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
Nuovo
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Da: Biblios, Frankfurt am main, HESSE, Germania
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Condizione: New. PRINT ON DEMAND. Codice articolo 18397285275
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A Systematized Framework for Smart Libraries using IoT and ML
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
Nuovo
Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shashank Deo GouriMs. Gouri Deo is a B.Tech Final Year student pursuing Electronics and Communication Engineering at Amity University Mumbai.Ms. Ayushi Mishra is a B.Tech Final Year student pursuing Electronics and Communication Engi. Codice articolo 590755611
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A Systematized Framework for Smart Libraries using IoT and ML
Editore:
LAP LAMBERT Academic Publishing Apr 2022, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. Neuware -This book presents a fully automated structure for a smart library using the Internet of Things (IoT), which is enhanced further by using Machine Learning. The role of IoT is to enhance the quality and improve the efficiency of services being provided. Also, to ensure proper utilization of resources and secure the library data. The inclusion of QR technology provides a strong authentication to prevent thefts. The integration of MOODLE, i.e. a learning management system, into the library, is used to establish a connective network between the college librarians, students and their respective departments. The student book usage data is further used to recommend other books to students which are relevant to their field of study. The pool of resource usage data can be qualitatively used to understand the student learning habits, based on which predictive analysis has been made using Sentiment Analysis. This facilitates the updation of books and resources in the library to ensure that the students use the resources righteously and understand their subjects thoroughly. The same can be used by faculty members to modify their assignments, and also use the integrated LMS portal effectively.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Codice articolo 9786200265760
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A Systematized Framework for Smart Libraries using IoT and ML : A fully automated library management system using Internet of Things (IoT) and Machine Learning (ML) Approaches
Editore:
LAP LAMBERT Academic Publishing, 2022
ISBN 10: 6200265763
ISBN 13: 9786200265760
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a fully automated structure for a smart library using the Internet of Things (IoT), which is enhanced further by using Machine Learning. The role of IoT is to enhance the quality and improve the efficiency of services being provided. Also, to ensure proper utilization of resources and secure the library data. The inclusion of QR technology provides a strong authentication to prevent thefts. The integration of MOODLE, i.e. a learning management system, into the library, is used to establish a connective network between the college librarians, students and their respective departments. The student book usage data is further used to recommend other books to students which are relevant to their field of study. The pool of resource usage data can be qualitatively used to understand the student learning habits, based on which predictive analysis has been made using Sentiment Analysis. This facilitates the updation of books and resources in the library to ensure that the students use the resources righteously and understand their subjects thoroughly. The same can be used by faculty members to modify their assignments, and also use the integrated LMS portal effectively. Codice articolo 9786200265760
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