Titlebook: Intelligent Data Engineering and Analytics; Proceedings of the 1 Vikrant Bhateja,Fiona Carroll,Peter Peer Conference proceedings 2023 The E

palliative

書(shū)目名稱Intelligent Data Engineering and Analytics影響因子(影響力)




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書(shū)目名稱Intelligent Data Engineering and Analytics被引頻次




書(shū)目名稱Intelligent Data Engineering and Analytics被引頻次學(xué)科排名




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書(shū)目名稱Intelligent Data Engineering and Analytics讀者反饋




書(shū)目名稱Intelligent Data Engineering and Analytics讀者反饋學(xué)科排名

parsimony

Conference proceedings 2023ing both the theoretical and practical aspects of data-intensive computing, data mining, evolutionary computation, knowledge management and networks, sensor networks, signal processing, wireless networks, protocols, and architectures. This book is a valuable resource for postgraduate students in various engineering disciplines..

殺菌劑

Middle-Ear

我吃花盤(pán)旋

Soliloquy

Penetration Testing of Web Server Using Metasploit Framework and DVWA,erse TCP protocol, Metasploit framework and Burp Suite tool of Kali Linux, we successfully gained access into a web server based on Xampp. Our work suggests that penetration testing can be used to identify flaws of a system, and this knowledge can be used to create a more robust version.

Anonymous

High Utility Itemset Mining and Inventory Management: Theory and Use Cases,d on a few synthetic examples and a real-world dataset in the retail domain. The motivation of the paper is to broaden the horizon by suggesting a few possible uses of high utility itemset mining in inventory management.

音樂(lè)學(xué)者

2190-3018 , UK.Serves as a reference for researchers and practitioners.The book presents the proceedings of the 11th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2023), held at Cardiff School of Technologies, Cardiff Metropolitan University, Cardiff, Wales, UK

圍巾

Angiosperm Genus Classification by RBF-SVM,, 100 are Orchis, and the rest 100 are Prunus by digital camera. The results showed that our method achieved an accuracy of 84.73?±?0.41%. In all, this method is promising in angiosperm genus classification.

Trigger-Point