An efficient outlier detection with deep learning-based financial crisis prediction model in big data environment

HIGHLIGHTS

• who: Yalla Venkateswarlu and colleagues from the Department of Computer Science and Engineering, BVC College of Engineering, Rajahmundry, East Godavari District, Andhra Pradesh, India Department of Agricultural Economy and Development, Faculty of Agriculture, Chiang Mai University, Chiang Mai, Thailand have published the article: An Efficient Outlier Detection with Deep Learning-Based Financial Crisis Prediction Model in Big Data Environment, in the Journal: Computational Intelligence and Neuroscience 2when ⎪ ⎧ ⎪ ⎪ ⎪ ⎪ ⎪ 3when ⎪ ⎪ ⎨ w = ⎪ 4when ⎪ ⎪ ⎪ ⎪ 5when ⎪ ⎪ ⎪ ⎩ 6when of 16/08/2022
• what: For improving the efficiency and performance of ALO, the study presents a revised edition of the technique using . . .
  

   

  

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