Titlebook: Advances in Computational Intelligence Techniques; Shruti Jain,Meenakshi Sood,Sudip Paul Book 2020 Springer Nature Singapore Pte Ltd. 2020

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書目名稱Advances in Computational Intelligence Techniques影響因子(影響力)




書目名稱Advances in Computational Intelligence Techniques影響因子(影響力)學科排名




書目名稱Advances in Computational Intelligence Techniques網絡公開度




書目名稱Advances in Computational Intelligence Techniques網絡公開度學科排名




書目名稱Advances in Computational Intelligence Techniques被引頻次




書目名稱Advances in Computational Intelligence Techniques被引頻次學科排名




書目名稱Advances in Computational Intelligence Techniques年度引用




書目名稱Advances in Computational Intelligence Techniques年度引用學科排名




書目名稱Advances in Computational Intelligence Techniques讀者反饋




書目名稱Advances in Computational Intelligence Techniques讀者反饋學科排名

CHASM

BN for Reinforced Concrete Structures,mation of the input image. The proposed architecture predicts the probability of an image being glaucoma. The model has been experimented with Refugee and Drishti datasets. Our proposed model is able to diagnose the glaucoma disease automatically with an accuracy of 90%, sensitivity of 96%, and specificity of 84%, respectively.

輕快帶來危險

Financial Governance on the Cloudcolor (red, green and blue) filters are applied on the image for better results. The blur kernel is deconvolved out of the blurred image to obtain a sharp image. This approach is better than the baseline approach of using Richardson–Lucy algorithm.

馬賽克

MAOIS

招募

ARY

Dignant

reptile

Successes and Limitations of Inflation,pared against the standard algorithms, i.e. delay and sum (DAS) beamformer as?well as recurrent neural network (RNN) model and from that it has been observed that SVM-based DOA estimation outperforms DAS beamformer in all cases and has better performance than RNN model for low values of signal-to-noise ratio (SNR).

Accolade