Titlebook: Computational Intelligence for Engineering and Management Applications; Select Proceedings o Prasenjit Chatterjee,Dragan Pamucar,Dilbagh Pa

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書目名稱Computational Intelligence for Engineering and Management Applications影響因子(影響力)




書目名稱Computational Intelligence for Engineering and Management Applications影響因子(影響力)學科排名




書目名稱Computational Intelligence for Engineering and Management Applications網(wǎng)絡公開度




書目名稱Computational Intelligence for Engineering and Management Applications網(wǎng)絡公開度學科排名




書目名稱Computational Intelligence for Engineering and Management Applications被引頻次




書目名稱Computational Intelligence for Engineering and Management Applications被引頻次學科排名




書目名稱Computational Intelligence for Engineering and Management Applications年度引用




書目名稱Computational Intelligence for Engineering and Management Applications年度引用學科排名




書目名稱Computational Intelligence for Engineering and Management Applications讀者反饋




書目名稱Computational Intelligence for Engineering and Management Applications讀者反饋學科排名

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1876-1100 lopments with a comprehensive literature.Provides theoretica.This book comprises select proceedings of the 1st International Conference on Computational Intelligence for Engineering and Management Applications (CIEMA - 2022). This book emphasizes applications of computational intelligence including

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Anna S. Dean,Helen Cox,Matteo Zignolr alternatives for the particular region. The proposed methodology was validated on a real-time dataset from an Indian smart grid installation and found to be simple, adaptable, and viable for field engineers and design engineers planning for modifications and future expansions, respectively.

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Convolutional Neural Network Architectures Comparison for X-Ray Image Classification for Disease Ide we are comparing VGG-16, VGG-19, Inception V3, and DenseNet201 architectures based on their accuracy, precision, recall, and .-Score. We trained and validated all CNN models with the dataset available on Kaggle containing X-ray images.

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Conference proceedings 2023essionals, academicians, and doctoral scholars in engineering, production, thermal, materials, design, computer engineering, natural sciences, and management who work on computational intelligence. The book also serves researchers who are willing to use computational intelligence algorithms in real-time applications..

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https://doi.org/10.1007/978-981-99-2054-9 store the watermarked images in cipher form. The image is first decrypted using the private key, and then, watermark reconstruction is performed. The performance is evaluated under various noisy attacks for qualitative evaluation. The parameter quantitative evaluation is presented in terms of MSE and SNR.