Titlebook: Advances in Data-Driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish C. Bansal Conference pr

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Amir H. Safavi-Naeini,Oskar Painterwas processed before feature extraction and then fed as input to the machine learning models. On performance comparison of these methods, it has been found that the SVM method when implemented with a polynomial kernel, outperforms the other state-of-the-art methods. It classified the different activities with an accuracy of 96.9%.

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2367-3370 oa, India.Serves as a reference for researchers and practiti This book is a collection of best-selected research papers presented at the International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2023) held at BITS Pilani, K. K. Birla Goa Campus, Goa, India, during

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Cavitation Effects at Megahertz Frequenciesrsch’s template with hysteresis thresholding. The proposed approach involved three steps: preprocessing, blood vessel extraction, and post-processing for vessel extraction. This approach achieved more accurate results than the original Kirsch’s template for specificity, sensitivity, and accuracy on the DRIVE dataset.

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2367-3370 s. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book is useful for academicians, research scholars, and industry persons.978-981-99-9520-2978-981-99-9521-9Series ISSN 2367-3370 Series E-ISSN 2367-3389

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