Titlebook: Deep Learning Applications in Image Analysis; Sanjiban Sekhar Roy,Ching-Hsien Hsu,Venkateshwara Book 2023 The Editor(s) (if applicable) a

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牛的細微差別

Deep Learning-Based Approaches Using Feature Selection Methods for Automatic Diagnosis of COVID-19 nents and hundreds of countries, will go down in history as the first pandemic produced by coronaviruses. The World Health Organization (WHO) classified COVID-19 as a “pandemic” on March 11, 2020. To avoid the future spread of this pandemic and to promptly treat infected patients, it is crucial to f

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ensemble

FISC

orthodox

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Plant Diseases Classification Using Neural Network: AlexNet,lution and not even budget friendly. To provide all the farmers and cultivators with smartphones with internet access, we could reduce the food loss in the country. In this chapter we have covered how deep learning can be used to make an image classifier based on AlexNet. The trained weight is then

幾何學家

Hyperspectral Images: A Succinct Analytical Deep Learning Study,lications to global safety issues with core concepts of classification, segmentation, anomaly detection and prediction. The use of DL on satellite images and to achieve best performance, the research is swiftly trending from traditional machine learning to deep learning approaches..In this chapter,

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Deep Learning-Based Approaches Using Feature Selection Methods for Automatic Diagnosis of COVID-19 AY images and reduce the number of house gray tones The application of artificial intelligence and machine learning techniques to radiological images helps to detect this disease accurately and quickly. In this study, 13 different deep learning techniques were studied using Chi-square, NCA, mRMR and