• Editorial
  • I Artificial Intelligence and Machine Learning
    • 1 Difference Boosted Neural Network(DBNN) - Part 2
      • 1.1 Introduction
      • 1.2 Probabilities in Bayes Theorem
      • 1.3 Boosting
      • 1.4 Difference Boosting algorithm
    • 2 Mastering Categorical Variable Encoding for Improved Machine Learning
      • 2.1 Types of categorical variables
      • 2.2 One hot Encoding
      • 2.3 One Hot Encoding (multiple categories)
      • 2.4 Mean Encoding
      • 2.5 Target guided Ordinal Encoding
      • 2.6 Label Encoding
  • II Astronomy and Astrophysics
    • 1 Black Hole Stories-2 Gravitational Lensing for the Detection of Lone Black Holes
      • 1.1 Black Holes
      • 1.2 Gravitational Lensing
      • 1.3 Gravitational Microlensing
    • 2 Unveiling the Birth of Stars: A Cosmic Symphony of Creation
      • 2.1 Cosmic Nurseries: Molecular Clouds
      • 2.2 Cloud Collapse
      • 2.3 Protostellar Evolution
      • 2.4 Stellar Clusters and Feedback
    • 3 Galaxy Morphologies
      • 3.1 Galaxies in Our Universe
      • 3.2 Observing the individual Galaxies
      • 3.3 Galaxy Morphology
      • 3.4 Galaxy Evolution
      • 3.5 References
    • 4 Rotating Variable Stars
      • 4.1 What Are Rotating Variable Stars?
      • 4.2 Some Examples Of Rotating Variable Stars
  • III Biosciences
    • 1 Molecular Cloning
      • 1.1 Gene Cloning
      • 1.2 Reproductive cloning
      • 1.3 Therapeutic cloning
      • 1.4 Other Cloning Areas
      • 1.5 Research and Discovery
  • IV General
    • 1 Agile Manufacturing Processes
      • 1.1 Introduction
      • 1.2 Traditional Manufacturing Methodology
      • 1.3 3D printing
      • 1.4 Conclusion
  • V Computer Programming
    • 1 Fractal Geometry
      • 1.1 Mandelbrot set
      • 1.2 Cantor set
      • 1.3 Sierpinski Gasket
      • 1.4 Koch snowflake
      • 1.5 Koch curve