Titlebook: Smart Sensor Networks; Analytics, Sharing a Umang Singh,Ajith Abraham,Tzung-Pei Hong Book 2022 The Editor(s) (if applicable) and The Author

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书目名称Smart Sensor Networks影响因子(影响力)




书目名称Smart Sensor Networks影响因子(影响力)学科排名




书目名称Smart Sensor Networks网络公开度




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书目名称Smart Sensor Networks被引频次




书目名称Smart Sensor Networks被引频次学科排名




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书目名称Smart Sensor Networks年度引用学科排名




书目名称Smart Sensor Networks读者反馈




书目名称Smart Sensor Networks读者反馈学科排名

Organonitrile

The Role of Smart Sensors in Smart City to deliver essential services more quickly and efficiently. Intelligent cities also make the use of sustainable construction materials and reduce energy consumption much more environmentally friendly. Practical usage of technology facilitates the construction of an effective transport management pr

PAD416

Impact of AI and Machine Learning in Smart Sensor Networks for Health Careified with an arrangement which incorporates components for observing, calculating and communication. These networks can perceive and respond to procedures or occurrences in an indicated ambience. WSSN signifies the subsequent evolutionary expansion stage in engineering like ecological observation,

DUST

ML Algorithms for Smart Sensor Networkshe dynamic environments are monitored. The availability of economical micro sensors and the knowledge of machine learning has given a significant boost to the world of smart sensor networks. Machine Learning techniques can undoubtedly ameliorate SSNs. To adapt to the ever changing dynamic environmen

CBC471

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荣幸

External Threat Detection in Smart Sensor Networks Using Machine Learning Approachchallenge of these smart sensor networks is the external threat detection which is a rising concern in the field of smart sensor network in every domain. Smart sensors are always connected with the Internet. Hence these smart sensors are facing huge possibilities to get exposed to different anomalie

泥沼

同位素

Graph Powered Machine Learning in Smart Sensor Networksh-based framework and graphical features to support different prediction tasks from additional IoT network sensor data. In that case, we can offer IoT apps a tool for boosting prediction tasks. Graphic approaches in several IoT applications have been successful. This chapter presents the basic conce

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Book 2022ata analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks...Smart sensor networks play an important role in the establishm