Editorial
I Artificial Intelligence and Machine Learning
1 Difference Boosted Neural Network(DBNN) - Part 3
1.1 Introduction
1.2 Performance of DBNN in tabular data
1.3 DBNN in astronomy studies
1.4 Transient classification in LIGO data
1.5 Summary
2 From Information Overload to Clarity: The Power of Text Summarization
2.1 Single Document Summarization
2.2 Multi-Document Summarization:
2.3 Domain-Specific Summarization:
2.4 Query-Based Summarization:
2.5 Generic Summarization:
3 Understanding the Support Vector Machine Algorithm
3.1 Linear Separability of Data
3.2 Margin and Support Vectors
3.3 Quadratic Programming
3.4 Soft Margin Classifier for Non Linearly Separable Problems
3.5 Kernel Functions
II Astronomy and Astrophysics
1 Black Hole Stories-3
1.1 The Detection of a Lone Black Hole
1.2 Gravitational Microlensing
1.3 A Black Hole Lens
1.4 Nature of the Lens
1.5 A Different Result
2 Unveiling the Cosmic Drama: The Fascinating Journey of Stellar Evolution
2.1 Birth of a Star
2.2 Main Sequence Phase
2.3 Evolution into Red Giant/Supergiant
2.4 The Fate of Low-Mass Stars
2.5 The Fate of High-Mass Stars
2.6 Stellar Nurseries and Star Formation Repeating the Cycle
3 Light Curves Of Variable Stars
3.1 What Are Light Curves?
3.2 Phase Diagrams
3.3 Light Curves Of Classical Cepheids
3.4 Light Curves of RR Lyrae stars
III Biosciences
1 The Tree of Life: Unravelling the Earth's Evolutionary Tapestry through Phylogenetic Trees
1.1 Introduction
1.2 Types of Phylogenetic Tree based on topology
1.3 Methods to construct Phylogenetic trees can be classified into two major types.
1.4 Character-Based Methods
1.5 Limitations of the phylogenetic tree
IV General
1 Ethical AI and Responsible Humanity Building the Power of Technology for a Responsible Future
V Computer Programming
1 Fractals - Nature's building block