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Titlebook: Artificial Intelligence and Sustainable Computing for Smart City; First International Arun Solanki,Sanjay Kumar Sharma,Anand Nayyar Confer

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Conference proceedings 2021t City, AIS2C2 2021, held in Greater Noida, India, in March 2021. Due to the COVID-19 pandemic the conference was held online. .The 17 full papers and 3 short papers included were thoroughly reviewed and selected from 204 submissions. They are organized in the following topical sections: ​sentimenta
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Facing Global Environmental Changendicate that the proposed portable brainwaves-based emotion recognition model using the HMGP classifier provides 84.44% classification accuracy for two classes. The findings have shown better results relative to state-of-the-art approaches of the proposed system and have shown that proposed methodology will maintain greater secrecy.
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Facing Global Environmental Change to classify EEG details. Experiments have been conducted using EEG data collected from a single NeuroSky Mind Wave 2 dry electrode device. Such findings have shown enhancement in the state of art methods and have verified the possible use of our approach to predict these traits.
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Regine Tiemann,Susanne Zajitschekprotection from security attacks. Blockchain technology is a promising paradigm to address these security flaws. In this paper, an infrastructure based on blockchain technology coupled with fog computing is proposed as a measure to mitigate the security attacks.
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Regine Tiemann,Susanne Zajitschekrity of the ZKPAUTH using AVISPA tool. The result of AVISPA shows that the ZKPAUTH is safe against replay and MITM attacks. The security analysis of ZKPAUTH is discussed and proved that ZKPAUTH is efficient and secure against DoS and host impersonation attack.
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What Happens if Small Challenges Big?ll drop rates and increase system throughputs. It is required to integrate a PSO mechanism during HOM to optimize performance to reduce the call drop rate. The research work also concludes the best approach for handover in LTE Network.
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https://doi.org/10.1007/978-1-4757-3997-8lity of the tool, an experiment has been performed on C2 surveillance system and an accuracy of 82% is obtained. The proposed tool introduces automation and enables better customer support in terms of 24 * 7 accessibility, swift answers, and well-structured responses. The tool is robust and scalable.
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