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Formulating A Strategic Plan Based On Statistical Analyses And Applications For Financial Companies Through A Real-World Use Case
Business statistics play a crucial role in implementing a data-driven strategic plan at the enterprise level to employ various analytics where the outcomes of such a plan enable an enterprise to enhance the decision-making process or to mitigate risks to the organization.
French Word Recognition through a Quick Survey on Recurrent Neural Networks Using Long-Short Term Memory RNN-LSTM
Using the top 5, 000 French words collected from the internet including all signs and accents, RNN-LSTM models were trained and tested for several cases.
Optical Character Recognition
Optical Character Recognition (OCR)
Classification of Alzheimer's Disease Structural MRI Data by Deep Learning Convolutional Neural Networks
Using Convolutional Neural Network (CNN) and the famous architecture LeNet-5, we successfully classified structural MRI data of Alzheimer's subjects from normal controls where the accuracy of test data on trained data reached 98. 84%.
Cognitive Dynamic Systems: A Technical Review of Cognitive Radar
We start with the history of cognitive radar, where origins of the PAC, Fuster research on cognition and principals of cognition are provided.
Classification of Alzheimer's Disease using fMRI Data and Deep Learning Convolutional Neural Networks
This experiment suggests us the shift and scale invariant features extracted by CNN followed by deep learning classification is most powerful method to distinguish clinical data from healthy data in fMRI.
