Author

Bilal Alataş

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Open access Sep 2026

An Explainable Hybrid Machine Learning Approach Based on MPSO-XGBoost for Pest Density Prediction in Almond Orchards

Accurate prediction of pest density and population levels in almond production is of great importance for crop yield, the prevention of quality losses, and the effectiveness of integrated pest management (IPM) strategies. Complex feature interactions in agricultural field data can affect both the predictive performance...

Cebrail Barut, Doygun Demirol, Harun Bingol et al. · Insects · 0 citations

Open access 2026

A Variational Quantum Neural Network Framework for Learning Asymmetric Patterns and Anomaly Detection in High-Frequency Financial and Economic Systems

Comprehensive experiments demonstrate that the proposed quantum neural network (QNN) model achieves superior performance compared with ANN, LSTM, Bi-LSTM, LSTM-GRU, CNN, and Transformer-based approaches.

Sercan Yalcin, Zulfukar Aytac Kisman, Hande Yuksel et al. · IEEE Access · 0 citations

Open access Jul 2026

Uncertainty-aware music genre classification using evidential deep learning

Music is known to play a primary role in stress reduction, thereby enhancing our mental well-being. Retrieval of musical category tailored to specific needs of an individual is gaining traction but remains challenging and quite cumbersome. This is because of hazy and ambiguous nature of music classification, due to h...

V. Sidharrth, Jayan Sarada, Bilal Alataş · PeerJ Computer Science · 0 citations