Titlebook: Deep Sciences for Computing and Communications; First International Kottilingam Kottursamy,Ali Kashif Bashir,Annie Uth Conference proceedi

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A Systematic Review on Fog Computing Security Algorithms on Current IoT Applications and Solutionsrity. Technologies such as Micro-data centers and Cloudlets have also been analyzed in this work. Many of the applications of Fog computing overlook the aspect of security and more attention is given only to the improved functionality. This survey also discusses the consequences of the vulnerabiliti

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Enhanced and Effective Ensemble Model for Breast Cancer Detection and Prediction in Modern Medical Ssion Tree Classifier, are available for prediction and the effectiveness needs to be improved. In proposed work breast cancer dataset is taken as input and all the best possibilities of the predicted output using various classifications algorithms are combined and a ensemble model is generated. The

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An IoMT Based Prediction Model for Cardiac Monitoring Using Machine Learning Algorithms saved in the cloud which can be received by the medical specialists. With the help of a remote cardiac monitoring system, the patients have confidence to contact the doctors without visiting medical centres. The remote cardiac monitoring system is practiced in affluent countries but it is still not

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Circular BlockEntropies and Fast Legendre Moments Based Content Preserving Image Authenticationlations along with a greater tolerance to the rotation of large angles up to 90°. The proposed system is 100% sensitive to content change in image and is also able to locate the region of change, however image recovery can only be achieve by compromising lengthy hash code.

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Predictive Model for Depression and Anxiety Using Machine Learning Algorithmste instruments helping specialists to foresee mental clutters and back understanding care. In this work, we used two datasets, DASS42 survey and WESAD dataset for predicting of depression and anxiety separately using various algorithms and then later using the results from the above to create a hybr

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A Deep Learning Based Species Reciprocal System for Partridgeconcept of transfer learning is used in which pre-trained models (VGG16, Xception, ResNet, etc.) are used. Here two of these models are used namely ResNet50 and VGG16. Among these two models ResNet50 have provided better accuracy. Transfer learning helps us to increase the classification accuracy. H