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Titlebook: Intelligent Systems Design and Applications; 22nd International C Ajith Abraham,Sabri Pllana,Anu Bajaj Conference proceedings 2023 The Edit

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书目名称Intelligent Systems Design and Applications
副标题22nd International C
编辑Ajith Abraham,Sabri Pllana,Anu Bajaj
视频video
概述Includes recent research on intelligent systems design and applications.Presents the proceedings of the 22nd International Conference on Intelligent Systems Design and Applications ISDA 2022.Written b
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Intelligent Systems Design and Applications; 22nd International C Ajith Abraham,Sabri Pllana,Anu Bajaj Conference proceedings 2023 The Edit
描述.This book highlights recent research on intelligent systems and nature-inspired computing. It presents 223 selected papers from the 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022), which was held online. The ISDA is a premier conference in the field of computational intelligence, and the latest installment brought together researchers, engineers, and practitioners whose work involves intelligent systems and their applications in industry. Including contributions by authors from 65 countries, the book offers a valuable reference guide for all researchers, students, and practitioners in the fields of computer science and engineering.. . .. .
出版日期Conference proceedings 2023
关键词Intelligent Systems; Intelligent Systems Design; Intelligent Systems Applications; ISDA; ISDA 2022
版次1
doihttps://doi.org/10.1007/978-3-031-35507-3
isbn_softcover978-3-031-35506-6
isbn_ebook978-3-031-35507-3Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Ensemble of Classifiers for Multilabel Clinical Text Categorization in Portuguese,d typing errors. These factors make manual categorization an expensive, time-consuming, and error-prone task. Thus, the automatic classification of medical data into informative clinical categories can substantially reduce the cost of this task. In this context, this work aims to evaluate the use of
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,Semantic Segmentation Using MSRF-NET for Ultrasound Breast Cancer,al approach employs an expert to detect the type of tumour and segment the area of interest. Nevertheless, it takes considerable time and resources. Researchers around the world invent new deep learning architectures to improve quality and reduce segmentation time. One of these architectures demonst
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,PU Matrix Completion Based Multi-label Classification with Missing Labels,els as negative labels brings the one-side noise, which causes the severe performance degradation. Motivated by this, we present the positive and unlabeled (PU) matrix completion based Multi-Label Classification with Missing Labels called PUMCML, that focus on finding all positive labels and constru
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,SP2P-MAKA: Smart Contract Based Secure P2P Mutual Authentication Key Agreement Protocol for Intellid be either energy requester or responder, who dynamically adjust energy transfer on real-time basis, via a bi- directional channel. Even so, the widespread use of the IES raises several privacy and security concerns, such as centrally controlled administrative power, data alteration activities. Thu
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,Automated Transformation of IoT Systems Models into Event-B Specifications,ngs systems using a UML meta-model. It is critical to ensure that no ambiguity, incompleteness, or misunderstanding exists in the Internet of Things systems that instantiate the meta-model. To do this, we suggest specifying Internet of Things systems by instantiating the meta-model using the Event-B
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