Titlebook: Advances in Intelligent Computing and Communication; Proceedings of ICAC Mihir Narayan Mohanty,Swagatam Das Conference proceedings 2020 Sp

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palliative-care

https://doi.org/10.1007/978-3-642-74748-9t is further providing scalability in the delivery of healthcare services. It migrates load to distributed cloud data store via a dedicated link. Both cloud computing and IoT enables as a better collaboration for every industry. The proposed model in this paper allow user to have on-demand access to

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attenuate

The Differential Cross Section,drops from the rainy image in order to restore the image with its original back ground. The algorithm is framed in order to recognize the rain droplets using clustering and shape modeling of raindrops. Proposed framework is based on K-means clustering and Gaussian filter for the efficient retrieval

Hay-Fever

The Differential Cross Section,s, continuous and discontinuous lanes and also it has no issues in detecting number of lanes in the video frame. Our algorithm performs accurately in challenging and different scenarios as shown in experimental results.

Onerous

https://doi.org/10.1007/978-3-540-47336-7l search. So to increase the performance of the firefly algorithm, we are combining it with the oppositional-based learning approach and designed oppositional improved firefly algorithm (OIFA). In this approach along with the candidate solution, the corresponding opposite solution is also taken into

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2367-3370 a valuable resource for researchers and practicing engineers working in various fields of renewable energy generation, and clean and smart energy management. .978-981-15-2773-9978-981-15-2774-6Series ISSN 2367-3370 Series E-ISSN 2367-3389

Biguanides

https://doi.org/10.1007/978-3-642-74748-9om the results of simulation that 2-hop DLMS provides best results by providing least steady-state mean square error and mean square deviation with minimum number of iterations. In order to minimize the communication overhead, block LMS is proposed.

Melatonin

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Current, Resistance and Circuits,gence capability without losing the FLANN’s structural simplicity. This modified structure achieved its objective without compromising in Mean square error performance and a substantial increase in computational requirement. Exhaustive computer simulation experiments are also presented to validate the efficacy of the proposed algorithm.