• Editorial
  • I Artificial Intelligence and Machine Learning
    • 1 Introduction to Quantum Machine Learning - Part 1
      • 1.1 Basics of Quantum Computing
      • 1.2 Summary
    • 2 Evaluation Metrics: A Tale of Measuring Success
      • 2.1 Accuracy
      • 2.2 Precision, recall, and F1 score
      • 2.3 Area under the Curve
      • 2.4 Mean Reciprocal Rank:
      • 2.5 Root Mean Squared Error
      • 2.6 BLEU Score
      • 2.7 ROUGE Score
      • 2.8 Perplexity
      • 2.9 Conclusion
    • 3 AI Models as Black Boxes: Not for Long
      • 3.1 Introduction
      • 3.2 Towards Interpretable Machine Learning
      • 3.3 A survey of existing interpretability methods
  • II Astronomy and Astrophysics
    • 1 Black Hole Stories-4 Particle Paths in Newtons' s Theory of Gravitation
      • 1.1 Planetary Orbits
      • 1.2 Orbits in Classical Mechanics
      • 1.3 The Effective Potential
      • 1.4 Types of Orbits
      • 1.5 Orbital Shapes
      • 1.6 Approximations Made in the Two-Body Problem
    • 2 Shedding Light On The Mysteries Of Supergiant High Mass X-ray Binaries : Cosmic Powerhouses Unveiled
      • 2.1 Introduction
      • 2.2 Supergiant High Mass X-ray Binaries (sgHMXBs)
      • 2.3 Classical Supergiant High-Mass X-ray Binaries
      • 2.4 Obscured Supergiant High-Mass X-ray Binaries
      • 2.5 Some Examples Of sgHMXBs
      • 2.6 Importance Of The Study Of sgHMXBs
  • III Biosciences
    • 1 The common Ectoparasite in Ornamental Fishes
      • 1.1 Introduction
      • 1.2 Symptoms of Infection:
      • 1.3 Mode of Propagation:
      • 1.4 Something Fishy in your Aquarium?
      • 1.5 Control measures
  • IV General
    • 1 LiDAR - A versatile Imaging Technology
      • 1.1 Do it Yourself LiDAR
      • 1.2 Conclusion