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Titlebook: Artificial Intelligence in Industrial Applications; Approaches to Solve Steven Lawrence Fernandes,Tarun K. Sharma Book 2022 The Editor(s)

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Anomaly Detection in Industrial IoT Applications Using Deep Learning Approach,ivity. Many industries adopted IoT to improve the efficiency, security and predictive maintenance. To improve the quality of service (QoS), it is essential to identify various types of anomalies in productive maintenance. An anomaly is a value, a status of resources or outcome that deviates from exp
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Nurturing the Rudiments and Use Cases of Ongoing Natural Language Generation for a Future Profitabll business. The areas of artificial intelligence (AI) concerned with human-to-machine and machine-to-human interaction. The Next Wave in AI-driven speech is Natural Language Generation (NLG). Natural Language Generation (NLG) is the use of artificial intelligence (AI) programming to produce written
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Deep Learning-based Cyber Security Solutions for Smart-City: Application and Review,mart city ecosystem. In this book chapter, the authors first describe the background about the smart city ecosystem, cyber security threats and deep learning algorithms. Subsequently, the authors describe the overview of popular architectures of deep learning algorithms with their applications for a
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Tobias Haupt,Christoph Herberthreal application scenarios complicate this task. This article proposes an efficient deep learning framework for detecting people from overhead images. The proposed method uses a multi-scale Yolov4-Tiny algorithm for person detection. The multi-scale feature of the algorithm enables it to successfull
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André Schneider,Julia Köhler,Frank Schumannory stock levels, which have been ongoing challenges, especially in the supermarkets and grocery stores. The total expected profit is reduced if a required level of products is not available. As a result, sales forecasting for goods has a significant impact to minimize the total costs associated wit
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Paul Mandel,H. Zeghlache,T. Erneuxfor designing drug targets and novel drug discovery now routinely combine machine learning and deep learning algorithms to enhance the efficiency, efficacy, and quality of developed outputs. The generation and incorporation of big data, through technologies such as high-throughput screening and high
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Field theory for growth kinetics,ons across the city. This will be achieved by the inception of cognitive technologies, including the Internet of things (IOT). The IoT enabled Smart cities enables the utilities for improving transportation and accessibility, improve social services, promote sustainability, and give its citizens a v
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