2025 · 7 articles
Original Research Pages 1–12
Text classification plays a crucial role in natural language processing by automatically organizing and interpreting unstructured textual data. The proposed framework introduces a novel approach titled Hyperheuristic Pattern Recognition for Text Classification Using Snake Optimiz...
Original Research Pages 13–26
The increasing deployment of smart grids has led to the generation of large-scale energy data, creating new opportunities for intelligent pattern mining to enhance energy efficiency and grid reliability. This study presents a hybrid optimization framework for mining meaningful pa...
Original Research Pages 27–39
Mining dynamic consumer purchase patterns is crucial for understanding shifting market trends and improving personalized marketing strategies. The proposed framework leverages the Sailfish Optimizer to intelligently mine and adapt to evolving consumer behaviors. Existing methods...
Original Research Pages 40–53
Crop growth prediction plays a crucial role in precision agriculture, where accurate insights into crop behavior can significantly enhance yield and resource utilization. This paper presents a novel approach for pattern discovery in crop growth data using a Gradient-Based Ant Lio...
Original Research Pages 54–66
The increasing frequency of cyberattacks has made anomaly detection in cybersecurity logs a vital area of research. Pattern mining models are commonly used to uncover suspicious behavior hidden within massive log data. However, existing anomaly detection methods often suffer from...
Original Research Pages 67–80
Lung disease pattern detection in X-ray images plays a crucial role in early diagnosis and treatment planning. This study introduces a novel approach that integrates the African Vulture Optimization Algorithm (AVOA) with Convolutional Neural Networks (CNN) to enhance detection ac...
Original Research Pages 81–92
Real-time human gesture recognition plays a vital role in enhancing human-computer interaction, surveillance, and assistive technologies. This study proposes a robust framework that leverages multiscale feature learning and Jellyfish Optimization to improve gesture recognition ac...
