Titlebook: Computational Intelligence in Communications and Business Analytics; 4th International Co Somnath Mukhopadhyay,Sunita Sarkar,Sudipta Roy Co

斑駁

Making the strategy operationalorithm helps in identifying the tumor region and segment it such that the tumor can be analyzed for further diagnosis. The proposed method provides a precise accuracy of 99.14% which determines the fact that the tumor region is being segmented accurately with few false positive rate.

CLOWN

POLYP

A Secure Image Watermarking Technique Using Chinese Remainder Theorem in?Integer Wavelet Transformatthod. The metrics like PSNR, SSIM are used to analyse the imperceptibility and NCC, BER are used to analyse the robustness of the scheme. After that, the outcomes are evaluated with a number of other relevant schemes in order to validate the superiority.

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Ambiguous

META

Enhanced Marker-Controlled Watershed Segmentation Algorithm for Brain Tumor Segmentationorithm helps in identifying the tumor region and segment it such that the tumor can be analyzed for further diagnosis. The proposed method provides a precise accuracy of 99.14% which determines the fact that the tumor region is being segmented accurately with few false positive rate.

黃瓜

1865-0929 ewed and selected from 107 submissions. The papers are organized in topical sections on computational intelligence; computational intelligence in communication;?and computational intelligence in analytics..978-3-031-10765-8978-3-031-10766-5Series ISSN 1865-0929 Series E-ISSN 1865-0937

Focus-Words

Strategic Leadership for Turbulent Timesof computer science that have enabled decision-makers to reach eminent choices. This paper explored the usage of MADM, which is a sub-domain of Multi-Criteria Decision Making, and its applications in 3 emerging and trending computer science fields viz., Cloud Computing, Internet of Things (IoT) and Big Data.

鎮(zhèn)壓

Strategic Leadership for Turbulent Times-Learning (OSL), and Zero-Shot-Learning (ZSL) have been developed. The paper presents a survey on various image classification methods which have been developed based on the FSL, OSL, or ZSL paradigm. This paper also highlights a comparative study of the methods and a summary of the methods.

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