Titlebook: Data Analytics for Internet of Things Infrastructure; Rohit Sharma,Gwanggil Jeon,Yan Zhang Book 2023 The Editor(s) (if applicable) and The

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A Study of Cloud-Based Solution for Data Analytics,he industries dealing with large and complex datasets have been facing the need to deal with enormous information being generated/delivered by different sources. This humongous data exists in all forms, for example, structured, unstructured, and semi-structured, which are produced through various so

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An Intelligent Model for Optimizing Sparsity Problem Toward Movie Recommendation Paradigm Using Macers find new movies they like on streaming movie platforms like Netflix. In this chapter, we create a smart algorithm that makes an optimistic choice to design a collaborative filtering system that forecasts movie ratings for a user based on a significant database of user ratings. According to the g

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Technology-Enhanced Teaching and Learning During the COVID-19 Pandemic,and students at all levels are required to learn from home by using technological platforms. This unprecedented abrupt remote teaching and learning mode exposes potential challenges hindering social interaction, an integral part of second and foreign language (L2) acquisition, which is hypothesized

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The Symbiotic Relation of IoT and AI for Applications in Various Domains: Trends and Future Directi Things (IoT) and artificial intelligence (AI). Both artificial intelligence and the Internet of Things are game-changing technologies. More companies than ever before are tapping into the IoT’s potential and recognizing its value. Machine learning, artificial intelligence, rapid feedback, and remot

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Text Summarization for Big Data Analytics: A Comprehensive Review of GPT 2 and BERT Approaches,ts. Large models could be trained thanks to the ability to examine text non-sequentially, which led to the Transformer becoming the most well-known NLP model. Big data and associated methodologies are frequently used to handle and alter these massive volumes of information. This chapter looks at lar

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Leveraging Secured E-Voting Using Decentralized Blockchain Technology,ms. Electronic voting was suggested as an alternative in order to overcome some of the major shortcomings of the paper and ballot system including the huge manpower required for vote counting. But along with solving such challenges, the e-voting systems raise humongous security threats that may lead

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2199-1073 with the data analysis environment so they can apply it in I.This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in busine