Computational Intelligence Techniques

7 Items
Computational Intelligence Techniques
  1. Machine Learning and Deep Learning

    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
    • Convolutional Neural Networks
    • Recurrent Neural Networks
    • Generative Adversarial Networks
  2. Swarm Intelligence Algorithms

    • Particle Swarm Optimization
    • Ant Colony Optimization
    • Bee Algorithm
    • Firefly Algorithm
  3. Neuro Computing

    • Artificial Neural Networks
    • Spiking Neural Networks
    • Cognitive Computing
    • Neural Architecture Search
  4. Heuristic and Metaheuristics Algorithms

    • Simulated Annealing
    • Genetic Algorithms
    • Tabu Search
    • Harmony Search
  5. Natural Language Processing

    • Sentiment Analysis
    • Text Classification
    • Named Entity Recognition
    • Machine Translation
  6. Computer Vision

    • Object Detection
    • Image Segmentation
    • Facial Recognition
    • Optical Character Recognition
  7. Evolutionary Computation

    • Differential Evolution
    • Evolutionary Programming
    • Evolution Strategies
    • Multi-objective Evolutionary Algorithms
  8. Fuzzy Logic Systems

    • Type-1 Fuzzy Systems
    • Type-2 Fuzzy Systems
    • Fuzzy Decision Making
    • Adaptive Fuzzy Systems
    • Fuzzy set extensions (Intuitionistic, Pythagorean, Picture, and Hesitant fuzzy sets, as well as Neutrosophic, Plithogenic, and Hypersoft sets, among others)
  9. Game Theory in Computing

    • Evolutionary Game Theory
    • Cooperative Games
    • Non-cooperative Games
    • Mechanism Design
  10. Interactive Algorithms

    • Multi-Agent Systems
    • Collective Intelligence
    • Human-in-the-loop Computing
    • Interactive Evolutionary Algorithms
  11. Bio-Inspired Algorithms

    • Genetic Programming
    • Memetic Algorithms
    • Artificial Immune Systems
    • Bacterial Foraging Algorithms
  12. Quantum Computing and Algorithms

    • Quantum Annealing
    • Quantum Machine Learning
    • Quantum Error Correction
    • Quantum Cryptography
  13. Probabilistic Models and Algorithms

    • Bayesian Networks
    • Hidden Markov Models
    • Monte Carlo Methods
    • Stochastic Optimization

All Items

  • Multi-Criteria Decision-Making Model for Rank Strategy to Overcome Barriers to Integrating the AI and Cloud Systems in the IT Industry

    Ahmed Abdelhafeez, Alber Shawky Aziz
    1-9
    https://doi.org/10.22105/scfa.v1i1.17
  • Multi-Criteria Decision-Making Methodology for Ranking and Selecting Optimal Metaverse Platform

    Shimaa S. Mohamed, Ahmed M. Ali
    10-18
    https://doi.org/10.22105/scfa.v1i1.18
  • Enhancing Medical Diagnosis with Single Valued Neutrosophic Sets and Tan-Log Distance

    Narmadhagnanam Radha, A Edward Samuel
    50-58
    https://doi.org/10.22105/scfa.v1i1.29
  • Applications of Deep Learning to Cryptocurrency Trading: A Systematic Analysis

    Saeid Ataei, Seyyed Taghi Ataei, Parisa Omidmand, Hoora Hajian Karahroodi, Pegah Nikzat
    255-268
    https://doi.org/10.22105/scfa.vi.77
  • An Explainable AI–Driven Type-2 Fuzzy Decision Support Framework for Sustainable Energy Management in Smart Grids

    Mojtaba Nasehi
    54-72
    https://doi.org/10.22105/scfa.v3i1.87
  • A Study on IoT-Enabled Smart Vehicles for Road Navigation and Ride Comfortability in Contemporary Vehicle Applications

    Imoh Ime Ekanem, Aniekan Essienubong Ikpe, Jephtar Uviefovwe Ohwoekevwo
    59-79
    https://doi.org/10.22105/scfa.v1i2.30
  • A New Approach for Solving Fuzzy Cooperative Continuous Static Games

    Seyyed Ahmad Edalatpanah, Hamiden Abd El- Wahed Khalifa , Robert S. Keyser
    19-27
    https://doi.org/10.22105/scfa.v1i1.19