SKIN LESION CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK WITH NOVEL REGULARIZER


The Spatiotemporal Expression of Notch1 and Numb and Their Functional Interaction during Cardiac Morphogenesis

Numb family proteins (NFPs), including Numb and Numblike (Numbl), are commonly known for their role as cell fate determinants for multiple types of progenitor cells, mainly due to their function as Notch inhibitors.Previous studies have shown that myocardial NFP double knockout (MDKO) hearts display an up-regulated Notch activation and various defe

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A Two-Stream Approach to Fall Detection With MobileVGG

The existing deep learning methods for human fall detection have difficulties to distinguish falls from similar daily activities such as lying down because of not using the 3D network.Meanwhile, they are not suitable for mobile devices because they are heavyweight methods and consume a large number of memories.In order to alleviate these problems,

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A study on knowledge and preventive practices related to Avian Influenza among Higher Secondary School Students of Rajbiraj Municipality, Nepal

Background: Avian influenza is considerable global public health threat today, so prevention and control depends on the knowledge and protective behaviors of the general tenga population as well as high risk groups.Objectives: The present study was conducted to determine the knowledge and preventive practices related to avian influenza among higher

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Fraud Detection Using a Fuzzy Expert System In Motor Insurance

Insurance industry experts Napkins believe that fraud is a destructive disaster in the insurance industry.Over the years, many methods have been used in the literature for fraud detection, one of which is expert systems.Fraud detection expert systems are based on the knowledge of experts in the field of insurance identify fraud.Judgment of experts

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