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Advanced information networking and ...

International Conference on Advanced Information Networking and Applications (2025 :)

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Advanced information networking and applications = proceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025).. Volume 4 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced information networking and applications/ edited by Leonard Barolli.
其他題名:	proceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025).
其他題名:	AINA-2025
其他作者:	Barolli, Leonard.
團體作者:	International Conference on Advanced Information Networking and Applications
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	xxxii, 454 p. :ill. (some col.), digital ;24 cm.
內容註:	Broad Learning System Scheme for Multi-Server MEC Wireless Networks -- Investigating the Transferability and Robustness of Adversarial Attacks Between Standard and Dilated CNN Architectures -- Optimized Hybrid Deep Learning Model for Accurate Classification of Alzheimer's Stages -- A Hybrid Machine Learning Method for Detecting Metamorphic Malware -- Assessing the Threat of Neural Network Enhanced Obfuscation in Malware -- Transformative Intelligence in Advanced Security Infrastructure.
Contained By:	Springer Nature eBook
標題:	Computer networks - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-031-87772-8
ISBN:	9783031877728

Advanced information networking and applications = proceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025).. Volume 4 /
Advanced information networking and applicationsproceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025).Volume 4 /[electronic resource] :AINA-2025edited by Leonard Barolli. - Cham :Springer Nature Switzerland :2025. - xxxii, 454 p. :ill. (some col.), digital ;24 cm. - Lecture notes on data engineering and communications technologies,2482367-4520 ;. - Lecture notes on data engineering and communications technologies ;248..

Broad Learning System Scheme for Multi-Server MEC Wireless Networks -- Investigating the Transferability and Robustness of Adversarial Attacks Between Standard and Dilated CNN Architectures -- Optimized Hybrid Deep Learning Model for Accurate Classification of Alzheimer's Stages -- A Hybrid Machine Learning Method for Detecting Metamorphic Malware -- Assessing the Threat of Neural Network Enhanced Obfuscation in Malware -- Transformative Intelligence in Advanced Security Infrastructure.

Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low-cost and high-volume applications. Several of such applications have been difficult to realize because of many interconnection problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume "Advanced Information Networking and Applications" is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.

ISBN: 9783031877728

Standard No.: 10.1007/978-3-031-87772-8doiSubjects--Topical Terms:

569849
Computer networks
--Congresses.

LC Class. No.: TK5105.5 / .I583 2025

Dewey Class. No.: 004.6

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