TeQ Research – Research Tutorial for Computer Science and Technologies
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TeQ Research – Research Tutorial for Computer Science and Technologies
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TeQ Research – 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

Posts by tag

pattern recognition

5 posts
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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Frequent Pattern Growth
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  • Data Mining
  • Data Science and AI
  • Research Algorithms

FP-Growth Algorithm in Data Mining: Fast Frequent Pattern Mining Explained

  • May 17, 2025
  • Arun Prakasam
What is FP-Growth (Frequent Pattern Growth)? An effective and scalable technique for mining frequent itemsets in big transactional databases is the FP-Growth (Frequent Pattern Growth) algorithm. By employing a tree-based…
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k-Nearest Neighbors
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  • Data Mining
  • Data Science and AI

K-Nearest Neighbors (KNN) Algorithm: Classification, Working & Real-World Applications

  • May 7, 2025
  • Arun Prakasam
What is k-Nearest Neighbors (k-NN)? A supervised learning approach for classification and regression problems is called k-Nearest Neighbors (k-NN). Since it is instance-based and non-parametric, it does not explicitly learn…
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