Digital Library

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  1. Feature Extraction of Non-proliferative Diabetic Retinopathy Using Faster R-CNN and Automatic Severity Classification System Using Random Forest Method

  2. An Approach to Applying Multiple Linear Regression Models by Interlacing Data in Classifying Similar Software

  3. A Hybrid PSO-BPSO Based Kernel Extreme Learning Machine Model for Intrusion Detection

  4. A Survey on Image Emotion Recognition

  5. Optimized Chinese Pronunciation Prediction byComponent-Based Statistical Machine Translation

  6. Assisted Magnetic Resonance Imaging Diagnosis for Alzheimer’s Disease Based on Kernel Principal Component Analysis and Supervised Classification Schemes

  7. Default Prediction of Automobile Credit Based on Support Vector Machine

  8. Next-Generation Personal Authentication Scheme Based on EEG Signal and Deep Learning

  9. Enhanced Machine Learning Algorithms: Deep Learning, Reinforcement learning and Q-learning

  10. A Study on Variant Malware Detection Techniques Using Static and Dynamic Features