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Titlebook: Control and Information Sciences; Select Proceedings o V. I. George,K. V. Santhosh,Samavedham Lakshminara Conference proceedings 2024 The E

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發(fā)表于 2025-3-21 20:00:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Control and Information Sciences
副標(biāo)題Select Proceedings o
編輯V. I. George,K. V. Santhosh,Samavedham Lakshminara
視頻videohttp://file.papertrans.cn/238/237326/237326.mp4
概述Comprises select peer-reviewed proceedings of the conference CISCON 2022.Enriches understanding by including contributions from leading experts across the globe.Focuses on image and signal processing,
叢書名稱Lecture Notes in Electrical Engineering
圖書封面Titlebook: Control and Information Sciences; Select Proceedings o V. I. George,K. V. Santhosh,Samavedham Lakshminara Conference proceedings 2024 The E
描述.This book presents the select peer-reviewed proceedings of the Control Instrumentation and System Conference (CISCON 2022) held at Manipal Institute of Technology, MAHE, Manipal. It examines a wide spectrum covering the latest trends in the fields of instrumentation, sensors and systems, and industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems, and power drives, performance attributes of MEMS, multi-sensor data fusion, machine learning, optimization techniques, process control, safety monitoring, safety-critical control, supervisory control, system modeling and virtual instrumentation. The book is a valuable reference for researchers and professionals interested in sensors, adaptive control, automation and control, and allied fields..
出版日期Conference proceedings 2024
關(guān)鍵詞Bio Medical Instrumentation; Control Systems; Distributed Control System; Electrochemical Sensors; Human
版次1
doihttps://doi.org/10.1007/978-981-99-9554-7
isbn_softcover978-981-99-9556-1
isbn_ebook978-981-99-9554-7Series ISSN 1876-1100 Series E-ISSN 1876-1119
issn_series 1876-1100
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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https://doi.org/10.1007/978-3-658-19057-6lters at both the input and output sides; the capacitors in the N-stages are equally charged, so they can be DC-source input to the multilevel inverters; modularity can help to reduce time to market during manufacturing just by adding more stages without disturbing main circuit. The converter circui
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https://doi.org/10.1007/978-3-658-19426-0forward the data to a server for recovery at the user end. Ultimately, the analysis result recommends that the presented IoT-based tracking mechanism can support practical air quality tracking and forecasting in various pollutant concentrated atmospheres while guaranteeing minimal power consummation
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Vom erfolgreichen Scheitern einer Bewegunghicle. This study performs a vehicle emission impact on a gated campus using a deep learning approach. Real-time surveillance footage is processed with a deep learning model to detect vehicle and its license plate. Furthermore, air quality sensors deployed at strategical locations provide real-time
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https://doi.org/10.1007/978-3-658-19618-9onal hazards model that provides the survival curve function and provides a probabilistic value for whether the patient will survive more than a given threshold time. Other conventional methods have also been discussed in order to analyze and prove that Cox regression is the most suitable method for
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Von Sprachdefiziten und anderen Mythenuned onto it to achieve fast and accurate real time detection. The model is trained using two different datasets; one small and one big to see the effects of the size of the dataset on the accuracy of detec-tion. The first stage detects all the faces in the frame after which the mask detection model
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