All Stories

  1. Machine learning for missing data imputation in Alzheimer’s research: predicting medial temporal lobe dynamic flexibility
  2. Medial Temporal Lobe Flexibility as an Early Marker of Alzheimer’s Risk in African Americans with ABCA7‐80 Variant: Application to Multivariate Imputation by Chained Equations using Random Forest
  3. An Exploration of the Effects of Gait Speed and Joint Movements on Minimum Toe Clearance Across the Lifespan: A Cross-Sectional Study
  4. Forecasting Forex EUR/USD Closing Prices Using a Dual-Input Deep Learning Model with Technical and Fundamental Indicators
  5. EGAIN: Enhanced Generative Adversarial Networks for Imputing Missing Values
  6. A customized deep neural network that identifies splice junctions in RNA sequences
  7. Optimizing Treatment of Complex Regional Pain Syndrome with Ketamine infusions
  8. Automatic underground object detection using Machine Learning on Ground Penetrating Radar signals
  9. Real‐time object detection using power spectral density of ground‐penetrating radar data
  10. Using Artificial Neural Networks to set initial parameters of Time Dependent Kernel Density method
  11. Chance of developing the Parkinson’s disease based on family history of the disease
  12. Opening/Closing of the eyes identified fast through brain signals
  13. Eye state change detection in real-time using brain signals
  14. Optimization of a Composite Double-Walled Cylindrical Shell Lined with Porous Materials for Higher Sound Transmission Loss by using a Genetic Algorithm
  15. Factors contributing to Internet Addiction in Iranian Adolescents
  16. Estimation of the Weibull parameters by Kullback-Leibler divergence of Survival functions
  17. Unbiased Weibull Modulus Estimation Using Differential Cumulative Entropy
  18. Improved linear regression method for estimating Weibull parameters