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Titlebook: Deep Learning in Data Analytics; Recent Techniques, P Debi Prasanna Acharjya,Anirban Mitra,Noor Zaman Book 2022 Springer Nature Switzerland

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楼主: BROOD
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Deep Learning in Healthcareression of disease, develop a personalised treatment plan and for overall patient management. This chapter discusses the architecture and working of deep neural networks and focus on its application in the detection and treatment of various diseases like cancer, diabetes, Alzheimer’s and Parkinson’s disease.
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Anomaly Credit Card Fraud Detection Using Deep Learning fraud in financial transactions and compare the deep learning model with several existing machine learning algorithms. The proposed model is applied on a dataset gathered in Europe in 2 days in September 2013. The accuracy evaluation metric is used to evaluate the ability of the proposed model to detect credit card fraud.
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Debi Prasanna Acharjya,Anirban Mitra,Noor ZamanProvides recent advances in the fields of Deep Learning.Presents theoretical advances and its applications to real-life problems.Offers concepts and techniques of deep learning in a precise and clear
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H.-S. Kim,L. Wiedeman,H. Helvajianis becoming recent research focus on artificial intelligence. A facet of human intelligence is the ability to recognize emotion that is regarded as one of the attribute of emotional intelligence. Although research based on facial expressions or speech is seen in thrive, recognizing emotions from bod
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Despine and the Evolution of Psychologyr biomedical image such as CT image, MRI, X-ray for automatic detection of some deadly diseases. A field of advance deep learning that made available a plethora of architecture as increase the dimension and complexity of the mammogram images has been focused, in this study. Removal of noise is a cru
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Introduction: An Overview of the Bookhumans for external purposes other than thinking. The current functional magnetic resonance imaging (FMRI) technology plays a vital role in the detection and estimation of brain patterns. The idea in this chapter is to analyse the uniqueness of human brain patterns and providing high level security
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