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Titlebook: Advances in Intelligent Computing and Communication; Proceedings of ICAC Mihir Narayan Mohanty,Swagatam Das Conference proceedings 2022 Th

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楼主: Falter
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The Differential Cross Section,ander at the human breast for investigation and screening. The deep convolutional neural organization (DCNN) is utilized for include extraction. Further patch extraction and pixel-based extraction are used to detect the breast cancer at the early stage. In patch-level abstraction, “patch-wise” netwo
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Lefteris Tsoulfidis,Persefoni Tsalikiures collected from three separate datasets and various lightweight machine learning models. SVM, logistic regression, decision tree, and neural networks are the models we used to conduct the case study. We investigate each model by plotting ROC curves for each dataset. We observed that SVM and logi
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Springer Monographs in Mathematicsarticle format containing a block of text and flow diagrams in the form of images. The results indicate that the proposed method is capable of detecting and localizing the text correctly present over the images in machine-readable form.
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One-Dimensional Potential Theoryelicate devices associated with transmission and distribution system, if not eradicated in proper manner. In this study, Bayesian regularization algorithm is used to train the ANN controller associated with the DSTATCOM to improve the PQ parameters associated with the MG system. ANN-based DSTATCOM c
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Energy Configuration Management Framework Using Automated Data Mining Algorithm,978-3-322-99971-9
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Lecture Notes in Computer Science: Pathological Voice Recognition Based on Acoustic Phonatory Featu978-3-322-96913-2
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