Latest Research in Machine Learning and ELM

7 research papers · 2026 median publication year

Top Research Topics in Machine Learning and ELM

Highest-Cited Papers

  1. Ensemble Deep Learning for Aloe Vera Leaf Disease Classification
  2. SAEFormer: Self-Supervised and Attention-Enhanced Efficient Transformer for Robust Tomato Leaf Disease Recognition
  3. A hierarchical BYOL-based deep learning framework for explainable leaf disease recognition utilizing self-supervised learning and symptom preserving
  4. YOLOv12-RSLW: An Efficient Detection and Severity Grading Framework for Rice False Smut via Count-Area Calibration
  5. A Two-Stage Method for Detecting and Assessing the Severity of Diseases and Pests on Lotus Leaves in Complex Aquatic Environments
  6. Attention-Enhanced YOLOv11 for Early Detection of Fungal-Induced Forest Tree Decline
  7. ACO-ELM: An Ant Colony Optimization-Driven Extreme Learning Machine for Dry Bean Variety Classification
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L3 Region - - 2026 Sep Q3
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