Can the deep learning architecture be used for classifying anomaly behaviours in the on-line processing?

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Researching in Network forensics & Cloud Computing

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2) What is the efficient methodology can be used for recognising intrusive activities that attempt to breach IoT environments?

a Collaborative Anomaly Detection Framework (CADF) for detecting existing and new attacks that face Internet/Cloud of Things.

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Why should we choose deep learning to machine learning? Why is CNN better for image classification? Can I get Typical Answer?

What Characteristics makes CNN work better?

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What are some of the research gaps in machine learning and artificial intelligence in africa?

i would to know some of the research gaps in the artificial intelligence field in most african countries.

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Can we classify HV and LV lines based on line length?

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Anyone plz suggest relevant topic for research in image processing+Deep learning.?

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Irradiation data for JAPAN?

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How to increase a model accuracy ?

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Chlorinated organic formation in odor control scrubbers using hypochlorite?

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Image Processing and classification using keras/Tensorflow?

Do you have some recommendations approaches on Image processing and classification of plant diseases using TensorFlow/Keras?

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Can you share me how teacher education is managed in your respective national educational system?

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Which SAR dataset to use for generating coherency matrix and performing target decomposition (Description) ?

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Fabrice Clerot

an example :

https://people.csail.mit.edu/kalyan/AI2_Paper.pdf

Vikas Ramachandra

you can use autoencodersto learn your 'normal' class, then when testing, if the anomalies look different, there will a huge reconstruction error by using the learnt autoencoder , you can use that to detect an anomaly.