TeQResearch – Research Tutorial for Computer Science and Technologies
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TeQResearch – Research Tutorial for Computer Science and Technologies
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TeQResearch – Research Tutorial for Computer Science and Technologies
  • Home Page
  • Computer Networks
    • Ad Hoc Networks
    • Network Security
    • Internet of Things (IoT)
    • Sensor Networks
  • Data Science and AI
    • Data Mining
    • Machine Learning
    • Deep Learning
    • Natural Language Processing
    • Big Data Analytics
    • Image Processing
  • Computing Technologies
    • Cloud Computing
    • Evolutionary Computing
    • Mobile Computing
    • Quantum Computing
    • Edge and Fog Computing
  • Software and Systems
    • Database Management Systems
    • Operating Systems
    • Software Engineering
    • Cybersecurity
    • Blockchain
  • Scholar Resources
    • Research Algorithms
    • Research Implementations
    • Research Grants Infos
    • Research Journals Infos

Data Science and AI

37 posts
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  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

Infomap Algorithm

  • April 12, 2026
  • Arun Prakasam
What is Infomap Algorithm? The Infomap Algorithm is a powerful method used for community detection in complexnetworks. It is based on principles from information theory, particularly the idea of compressing…
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Walktrap Algorithm
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  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

Walktrap Algorithm

  • April 8, 2026
  • Arun Prakasam
What is Walktrap Algorithm? The Walktrap Algorithm is a community detection technique used in network analysis to identify clusters (or communities) within a graph. It is based on the principle…
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ADABOOST
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  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

Adaptive Boost Algorithm in Machine Learning

  • March 20, 2026
  • Arun Prakasam
What is AdaBoost Algorithm? AdaBoost, short for Adaptive Boosting, is one of the earliest and most influential ensemble learning algorithms in machine learning. It was introduced by Yoav Freund and…
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LightGBM
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  • Data Mining
  • Machine Learning
  • Research Algorithms

LightGBM Algorithm

  • February 22, 2026
  • Arun Prakasam
What is LightGBM Algorithm? LightGBM (Light Gradient Boosting Machine) is a high-performance, distributed, and efficient implementation of the Gradient Boosting Decision Tree (GBDT) framework developed by Microsoft. It is designed…
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CatBoost
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  • Big Data Analytics
  • Data Mining
  • Data Science and AI
  • Machine Learning
  • Research Algorithms

CatBoost Algorithm

  • February 19, 2026
  • Arun Prakasam
What is CatBoost Algorithm? CatBoost (Categorical Boosting) is a gradient boosting algorithm developed by Yandex. It is specifically designed to handle categorical features efficiently and automatically, without requiring extensive preprocessing…
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Prewitt Operator
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  • Image Processing
  • Research Algorithms

Prewitt Operator

  • February 9, 2026
  • Arun Prakasam
What is Prewitt Operator? The Prewitt Operator Algorithm is a classical gradient-based edge detection technique used in digital image processing to identify intensity discontinuities in images. These discontinuities typically represent…
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Page Rank
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  • Data Mining
  • Research Algorithms

Page Rank Algorithm

  • February 2, 2026
  • Arun Prakasam
What is Page Rank Algorithm? The Page Rank Algorithm is a link analysis algorithm used to measure the relative importance of nodes within a network. Most commonly, it is applied…
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Sobel Operator
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  • Image Processing
  • Research Algorithms

Sobel Operator Algorithm

  • January 20, 2026
  • Arun Prakasam
What is Sobel Operator? The Sobel Operator is a widely used gradient-based edge detection technique in digital image processing and computer vision. It is designed to identify edges by detecting…
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Roberts Edge Detector
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  • Data Science and AI
  • Image Processing
  • Research Algorithms

Roberts Edge Detector Algorithm

  • January 17, 2026
  • Arun Prakasam
What is Roberts Edge Detector Algorithm? The Roberts Edge Detector Algorithm is one of the earliest and simplest methods used in digital image processing for detecting edges in images. Edge…
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superpixel
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  • Data Science and AI
  • Image Processing
  • Research Algorithms
  • Scholar Resources

Superpixel Segmentation (SLIC) Algorithm

  • January 14, 2026
  • Arun Prakasam
What is Superpixel Segmentation (SLIC) ? Superpixel segmentation is a fundamental concept in computer vision that aims to group pixels into perceptually meaningful atomic regions called superpixels. Instead of processing…
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