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  1. Detection of Financial Fraudulent Activities with Machine Learning:A Case Study of Detecting Potential Tax and Invoice Fraud
  2. Livestock Recognition and Identification with Deep Convolutional Neural Networks: A Case Study of Pigs
  3. Credit Risk Models using Rule-Based Methods and Machine-Learning Algorithms