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Titlebook: Emerging Technologies in Computing; 6th EAI Internationa Mahdi H. Miraz,Garfield Southall,Andrew Ware Conference proceedings 2024 ICST Inst

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發(fā)表于 2025-3-21 18:38:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Emerging Technologies in Computing
副標(biāo)題6th EAI Internationa
編輯Mahdi H. Miraz,Garfield Southall,Andrew Ware
視頻videohttp://file.papertrans.cn/309/308438/308438.mp4
叢書名稱Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engi
圖書封面Titlebook: Emerging Technologies in Computing; 6th EAI Internationa Mahdi H. Miraz,Garfield Southall,Andrew Ware Conference proceedings 2024 ICST Inst
描述This book constitutes the refereed conference proceedings of the 6th International Conference on Emerging Technologies in Computing, iCETiC 2023, held at Southend-on-Sea, UK, in August 2023..The 15 revised full papers were reviewed and selected from 41 submissions and are organised in topical sections covering AI, expert systems and big data analytics; information and network security; cloud, IoT and distributed computing..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; communication systems; computer programming; computer security; computer networ
版次1
doihttps://doi.org/10.1007/978-3-031-50215-6
isbn_softcover978-3-031-50214-9
isbn_ebook978-3-031-50215-6Series ISSN 1867-8211 Series E-ISSN 1867-822X
issn_series 1867-8211
copyrightICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024
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Vasileios Ziogas,Athanassios MolassiotisAccurate prediction depends on identifying and selecting relevant features from large and complex datasets. In this study, we present a novel feature selection method, the Chaotic Chimp based African Vulture Optimization Algorithm (CCAVO), applied to earthquake magnitude prediction. The model was tr
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Cian M. McCrudden,Helen O. McCarthydation systems utilize a large amount of online data to generate personalized recommendations for users. The quality of the data plays an important role in the performance of the RS. The majority of the RS data is generated from event data that are stored in data lakes through multiple data pipeline
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Victoria Cattell,H. Terence Cookprevent diseases such as dengue, typhoid, jaundice, pneumonia, and other major ailments. Our research focuses on leveraging ML to detect various diseases from a patient’s speech. The patient will describe their symptoms to the machine, akin to explaining their concerns to a doctor. The machine will
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https://doi.org/10.1007/978-4-431-67949-3owth or advancement in the number of malware variants has necessitated the requirement of advanced techniques for the detection, identification, and classification of malware. The hybrid approach is predominantly employed since static and dynamic analysis methods have drawbacks and are time-consumin
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Wartime Expansion of the Nitrogen Industry,dard (AES). This paper thoroughly examines the encryption and decryption procedure, describing in detail and illustrating each step of the process. Additionally, we showcase the practical implementation of DES using the CrypTool platform, addressing the lack of a comprehensive and user-friendly tuto
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