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    A novel real-time face detection system using modified affine transformation and Haar cascades
    (Springer Verlag service@springer.de, 2019) Sharma, R.; Ashwin, T.S.; Guddeti, R.M.R.
    Human Face Detection is an important problem in the area of Computer Vision. Several approaches are used to detect the face for a given frame of an image but most of them fail to detect the faces which are tilted, occluded, or with different illuminations. In this paper, we propose a novel real-time face detection system which detects the faces that are tilted, occluded, or with different illuminations, any difficult pose. The proposed system is a desktop application with a user interface that not only collects the images from web camera but also detects the faces in the image using a Haar-cascaded classifier consisting of Modified Census Transform features. The problem with cascaded classifier is that it does not detect the tilted or occluded faces with different illuminations. Hence to overcome this problem, we proposed a system using Modified Affine Transformation with Viola Jones. Experimental results demonstrate that proposed face detection system outperforms Viola–Jones method by 6% (99.7% accuracy for the proposed system when compare to 93.5% for Voila Jones) with respect to three different datasets namely FDDB, YALE and “Google top 25 ‘tilted face’” image datasets. © Springer Nature Singapore Pte Ltd. 2019
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    Stability Analysis of Emerged Seaside Perforated Quarter Circle Breakwater Using Soft Computing Techniques
    (Springer Science and Business Media Deutschland GmbH, 2022) Madhusoodhanan, S.; Rao, S.
    Breakwaters are constructed to address a variety of coastal requirements ranging from maintaining tranquility conditions for a port or harbor area to prevent coastal recession. Quarter circle breakwater (QCB) is a composite structure, with a rubble mound foundation and a super structure comprising of a quarter circular surface facing incident waves resting on a horizontal bottom with a rear vertical wall alongside. Be it any structure, it is essential that the design is economic, safe, and functional. Thus, the accurate estimation of minimum (critical) weight of the super structure required to oppose the sliding is vital. Also, physical model studies can be laborious and time-consuming, whereas numerical modeling can be complex. Therefore, under such circumstances, soft computing techniques prove to be handy if sufficient data are available. In this study, W/γHi 2 of an emerged seaside perforated QCB for varying S/D ratios is estimated using ANN, SVM, and AdaBoost models. Hi/gT2, d/hs, and p (%) are chosen as input parameters with the W/γHi 2 as the output parameter. Further, the obtained results are compared using performance indicators such as RMSE, R2, and MAE following which the best model is selected. The data that are used for the present study is collected from the laboratory investigation conducted in the Wave Mechanics Laboratory of the Department of Water Resources and Ocean Engineering, National Institute of Technology Karnataka, Surathkal. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.