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Artificial intelligence and Internet...

International Symposium on Modelling and Implementation of Complex Systems (2024 :)

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Artificial intelligence and Internet of things = proceedings of the 8th International Symposium, MISC 2024, Tamanghasset, Algeria, December 1-3, 2024 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and Internet of things/ edited by Salim Chikhi ... [et al.].
其他題名:	proceedings of the 8th International Symposium, MISC 2024, Tamanghasset, Algeria, December 1-3, 2024 /
其他題名:	MISC 2024
其他作者:	Chikhi, Salim.
團體作者:	International Symposium on Modelling and Implementation of Complex Systems
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xiii, 280 p. :ill. (chiefly color), digital ;24 cm.
內容註:	Supervised ML-based Multi-Criteria For Detecting Malicious Nodes in FANET -- A semi-decentralized congestion-free multi-path energy routing for P2P energy trading systems -- Privacy-Preserving Intrusion Detection using FedSplit Learning -- Unveiling Human Activity Patterns in Smart Cities through a CNN-LSTM Approach -- Material Property Prediction with CNN-LSTM Hybrid Models and Periodic Table as Input Representation -- A Combined MaskRCNN-Watershed Model for Colorectal Gland Segmentation from Histological Images.
Contained By:	Springer Nature eBook
標題:	Artificial intelligence - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-82112-7
ISBN:	9783031821127

Artificial intelligence and Internet of things = proceedings of the 8th International Symposium, MISC 2024, Tamanghasset, Algeria, December 1-3, 2024 /
Artificial intelligence and Internet of thingsproceedings of the 8th International Symposium, MISC 2024, Tamanghasset, Algeria, December 1-3, 2024 /[electronic resource] :MISC 2024edited by Salim Chikhi ... [et al.]. - Cham :Springer Nature Switzerland :2025. - xiii, 280 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in networks and systems,12672367-3389 ;. - Lecture notes in networks and systems ;1267..

Supervised ML-based Multi-Criteria For Detecting Malicious Nodes in FANET -- A semi-decentralized congestion-free multi-path energy routing for P2P energy trading systems -- Privacy-Preserving Intrusion Detection using FedSplit Learning -- Unveiling Human Activity Patterns in Smart Cities through a CNN-LSTM Approach -- Material Property Prediction with CNN-LSTM Hybrid Models and Periodic Table as Input Representation -- A Combined MaskRCNN-Watershed Model for Colorectal Gland Segmentation from Histological Images.

This book offers a cutting-edge exploration of key advancements in artificial intelligence, IoT, data science, and their transformative impact on industries, particularly health care, in a rapidly evolving technological landscape. Readers will discover how AI and machine learning drive innovations, from detecting anomalies in satellite systems to enhancing medical diagnostics and treatment precision. With a focus on real-world applications, the book delves into the integration of IoT systems and cloud computing to streamline business operations and improve efficiency. It also introduces groundbreaking data science techniques for analysis and prediction, making it a valuable resource for professionals, researchers, and students. Designed for those looking to understand and harness the power of modern technology, this book provides insights that are both practical and forward-looking, equipping readers to address today's challenges and shape the future.

ISBN: 9783031821127

Standard No.: 10.1007/978-3-031-82112-7doiSubjects--Topical Terms:

606815
Artificial intelligence
--Congresses.

LC Class. No.: Q334

Dewey Class. No.: 006.3

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