Titlebook: Intelligent Computing; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2020 Springer Nature Switzerland

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Detection and Localization of Breast Tumor in 2D Using Microwave Imaging,, meteorology; detection and localization of people through the walls and medicine (detection and localization of breast cancer). Through this research, we suggest a novel technique in order to detect and localize the breast tumor in 2D. The recommended method relies on a technique called artificial

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Regression Analysis of Brain Biomechanics Under Uniaxial Deformation,ot that much understanding of the mechanism that controls the brain response during injurious loading. Because brain testing conditions are different between several assessment methods, this is considered as a confounding problem as brain biomechanics cannot be analyzed and understood completely. Mu

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Exudate-Based Classification for Detection of Severity of Diabetic Macula Edema,trolled diabetes. In the case of Macula Edema, in spite of being the commonest cause, the patient realizes the issue, only when there is deterioration of vision. Experts use surrogates such as exudates near to fovea in fundus photographs for detection of Macula Edema through clinical examination. Th

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Analysis and Detection of Brain Tumor Using U-Net-Based Deep Learning,brain. Early and accurate detection of the brain tumor is very difficult. The manual segmentation of the brain tumor extent from 3D MRI (Magnetic Resonance Imaging) volumes is a time consuming process and depends a lot on the operator’s experience. The automatic tumor segmentation has the potential

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Implementation of Deep Neural Networks in Facial Emotion Perception in Patients Suffering from Deprely new research that is giving Deep Neural Networks (DNN) and Expert System-based hybrid solutions, skills of recognizing human affect and its intensity in standardized manner with more precision and objectivity than human eye. At present diagnostic process of depression relies mostly on diagnostic

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Enhanced Security Using Elasticsearch and Machine Learning,combining intrusion detection systems with machine learning techniques in order to detect possible attacks. It will cover the setup and configuration of a test environment for anomaly detection and network security alerting using Elasticsearch as the core for storing data. Snort is used for monitori