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Titlebook: Cognitive Computing in Human Cognition; Perspectives and App Pradeep Kumar Mallick,Prasant Kumar Pattnaik,Valen Book 2020 Springer Nature S

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Virtual Dermoscopy Using Deep Learning Approach,processing of image of that part of skin that is infected and the second step is used to recognize the disease. The system uses convolutional neural networks and feedforward backpropagation for the identification of skin disease. The system gives an accuracy of 93.063% while testing on a total of 18
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Improved Steganography Using Odd Even Substitution,rmation attackers. The proposed image steganography technique implements an LSB technique with an algorithm to hide message bits in the DCT coefficients. The technique has chosen a mid-band frequency area for the bit’s substitution in an odd and even bit selection. The results are better than tradit
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A Survey: Implemented Architectures of 3D Convolutional Neural Networks,earning ability of a convolutional neural network is mainly due to the use of several hidden layers that can automatically extract all the important features from the data. Due to the availability of datasets in large amount and discovery for better hardware units has extended the research in CNNs t
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An Approach for Detection of Dust on Solar Panels Using CNN from RGB Dust Image to Predict Power Loh has revolutionized energy sector across the world. In recent era growing number of solar farm are not free from maintenance and operation challenges. Environment induced dust on solar panel hampers power generation at large. This paper focuses on CNN based approach to detect dust on solar panel an
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A Novel Method of Data Partitioning Using Genetic Algorithm Work Load Driven Approach Utilizing Macn an order so that the searching becomes easy. The data may be structured or unstructured. This paper focuses on the development of a unique data partition method which utilizes column integrated data. The proposed algorithm also utilizes Natural Computing Optimization inspired Genetic Algorithm (GA
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Virtual Dermoscopy Using Deep Learning Approach,es, thorough examinations are required to be carried out to resolve upon the skin ailment the patient may be facing. Different practitioners may take a different amount of time to detect the skin disease. So, a system is required that can efficiently and accurately diagnose the skin conditions witho
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