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Titlebook: Data Engineering and Applications; Proceedings of the I Jitendra Agrawal,Rajesh K. Shukla,Chin-Shiuh Shieh Conference proceedings 2024 The

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1876-1100 agement algorithms, among others.Discusses novel theories anThis book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data man
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,Chvátal-Erdös Theorem For Digraphs,security, the diverse hardware and software hinder these solutions‘ viability. In this study, we review studies involving cyberattack detection in the IoT ecosystem to understand better the approaches involved in this issue and point toward some novel research directions.
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Predictive Analytics Using Big Data in the Development of Smart Citiesrformed. Therefore, big data analysis is being focused to help analyze and derive useful interference from these massive amounts of data. The objective of this paper is to explore the sources of generation and utilization of Big Data in the development of smart cities.
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Conference proceedings 2024tion handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.
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ectural design using generative adversarial networks. For example, merging Rome’s architectural style with Italy’s will accurately and precisely recover the pixel-level structure of 3D forms without needing a 2D viewpoint or 3D annotations from a real 2D-generated image.
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corporate three popular feature selection methods, namely, ANOVA F-test, mutual information, and Spearman‘s correlation coefficient to achieve better performance with reduced features. The proposed system obtains comparatively better results than existing systems (unnecessary features affect the performance of the system adversely).
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