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Titlebook: Machine Intelligence and Smart Systems; Proceedings of MISS Shikha Agrawal,Kamlesh Kumar Gupta,Manish Gupta Conference proceedings 2021 Th

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Conference proceedings 2021mart Systems 2020 (MISS 2020), organized during September 24–25, 2020, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) ne
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A Review of Image Enhancement Techniques in Medical Imaging,maintains its image quality. Medical imaging is a promising field in image processing. A medical image gives sensitive information about the health of the person. This paper focuses on various medical image enhancement techniques.
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Internet of Things (IoT): State-of-the-Art Technologies, Challenges and Applications,, etc. There are two important factors for IoT to establish communication between the heterogeneous technologies and to understand various taxonomies which require for IoT. This paper presents basic elements of IoT, different architectures, technologies, challenges and issues and applications.
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Long-Distance Optical Communication Network with Linear Chirped Fiber Bragg Grating,s calculated with reference to bit error rate (BER) and quality factor. A comparison is additionally accomplished for the 210 km length of single mode fiber with recently accomplished work regarding quality factor and BER. The simulations of this work are implemented on Optisystem 7.
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2524-7565 paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation..978-981-33-4895-0978-981-33-4893-6Series ISSN 2524-7565 Series E-ISSN 2524-7573
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Performance Evaluation of Conventional and Systematic IT Services Automation,ation hypervisor. CentOS distribution of Linux has been used for both server and client nodes in the topology. Findings and scenarios in this paper are based on real-world IT tasks that are being automated to reduce the time and make the job easily done in a working environment by an IT administrator.
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To Reduce Gross NPA and Classify Defaulters Using Shannon Entropy,f Shannon entropy. The classifier model categorizes the data points in two categories, ‘accepted’ or ‘rejected’. The use of local entropy and global entropy is also exerted to help determine the output. The entropy classifier model is then compared with existing classifiers used to predict NPAs, thereby giving an idea about the performance.
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