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Online Ressourcen
Link zu diesem Datensatz https://d-nb.info/1323653392
Art des Inhalts Konferenzschrift
Titel Data Science and Big Data Analytics : Proceedings of IDBA 2023 / edited by Durgesh Mishra, Xin She Yang, Aynur Unal, Dharm Singh Jat
Person(en) Mishra, Durgesh (Herausgeber)
Yang, Xin-She (Herausgeber)
Unal, Aynur (Herausgeber)
Singh, Dharm (Herausgeber)
Organisation(en) SpringerLink (Online service) (Sonstige)
Ausgabe 1st ed. 2024
Verlag Singapore : Springer Nature Singapore, Imprint: Springer
Zeitliche Einordnung Erscheinungsdatum: 2024
Umfang/Format Online-Ressource, XIV, 747 p. 338 illus., 248 illus. in color. : online resource.
Andere Ausgabe(n) Printed edition:: ISBN: 978-981-9991-78-5
Printed edition:: ISBN: 978-981-9991-80-8
Printed edition:: ISBN: 978-981-9991-81-5
Inhalt Analysing the role of social influence in adoption of technology for student assessment in Indian management institutions -- Plastic and Non-Plastic Waste Classification using Machine Learning Techniques -- Prediction of Customer Satisfaction in E- banking Services through Neural Network Approach -- Role of AI and Machine Learning in Mental Healthcare -- Proposed a mechanism to precise diagnostics in X-ray film using Fuzzy Logic Controller -- Human Gender Classification of Males and Females in a Crowd using Deep Learning Techniques -- Analysis on prediction of crop diseases using TensorFlow with Keras and OpenCV technique of deep learning -- Design of convolutional encoder for multivalued logic -- Improving the efficiency of water quality prediction using the Supertml approach in machine learning -- Probabilistic Data Structure using hashing technique for big data security de- duplication in cloud environment -- Malicious account detection using ANN -- Performance Evaluation of LiCi-2Ultra-lightweight Block Cipher
Persistent Identifier URN: urn:nbn:de:101:1-2024031703103554652431
DOI: 10.1007/978-981-99-9179-2
URL https://doi.org/10.1007/978-981-99-9179-2
ISBN/Einband/Preis 978-981-99-9179-2
Sprache(n) Englisch (eng)
Beziehungen Data-Intensive Research
DDC-Notation 005.7 (maschinell ermittelte DDC-Kurznotation)
Sachgruppe(n) 004 Informatik

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