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Titlebook: Data Engineering and Intelligent Computing; Proceedings of 5th I Vikrant Bhateja,Lai Khin Wee,T. M. Rajesh Conference proceedings 2022 The

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41#
發(fā)表于 2025-3-28 17:23:44 | 只看該作者
Differential Diagnosis of InsomniaCV) is a widely used as a standardized measure of dispersion. However, CV is not advisable in applications where mean of dataset is close to zero. In this paper, we have derived an alternate measure of dispersion called . which is based on relative frequency of observations. The novelty of the study
42#
發(fā)表于 2025-3-28 20:45:51 | 只看該作者
Michael H. Bonnet,Donna L. Arand 32% of those deaths occurring globally. Heart attack and stroke accounted for 85% of these deaths. We used chi2 distributor, quantile transformer, polynomial feature, and XGboosting as machine learning approaches in this paper. In addition, the suggested model is used in a variety of machine learni
43#
發(fā)表于 2025-3-28 23:55:37 | 只看該作者
Jeffrey Greeson,Jeffrey Brantleyis very important as it improves the treatment options and also improves the survival chance of patients. Mammography is identified as an ideal tool for breast cancer screening and is very effective and reliable. However, manually identifying abnormalities in breast and classifying them using mammog
44#
發(fā)表于 2025-3-29 05:42:59 | 只看該作者
45#
發(fā)表于 2025-3-29 10:20:09 | 只看該作者
https://doi.org/10.1007/978-0-387-09593-6 required. Processing and selecting valuable data from these images take time. To overcome this difficulty, deep convolutional neural network algorithms can be assigned for processing huge image data. Deep convolutional neural networks (DCNNs) seem to provide substantial improvements in training eff
46#
發(fā)表于 2025-3-29 14:59:10 | 只看該作者
47#
發(fā)表于 2025-3-29 15:49:55 | 只看該作者
https://doi.org/10.1007/978-3-319-17139-5Manually identifying epiphytes in these images is both time-consuming and prone to errors. Convolutional neural networks (CNNs) are the building blocks for almost all state-of-the-art image classification, detection, and segmentation tasks. The CNN algorithm generates good output results by using sp
48#
發(fā)表于 2025-3-29 20:04:30 | 只看該作者
49#
發(fā)表于 2025-3-30 01:38:50 | 只看該作者
Heather K. Hood MA,Martin M. Antony PhDows to implement the software systems using an object-oriented paradigm. The pictorial graphical representation of a software system is provided to the developer as well as to the end-user. The UML diagrams are broadly classified into two types with static and dynamic diagrams. The UML sequence and
50#
發(fā)表于 2025-3-30 05:42:32 | 只看該作者
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