Proceedings of The 2026 International Conference on Computational Science and Computational Intelligence
Bootstrap-Driven Feature Weighting For Stable k-NN Performance
A stability aware meta adaptive framework for imbalance handling in machine learning and computer vision
Enhanced convolutional neural networks by using adaptive conditional dropout with dynamic regularization
A lightweight, GPU-accelerated batch image encryption framework with integrated ECC and multi-attack resilience
Enhancing Image Quality by Optimizing and Fine-Tuning Multi-Fidelity Generative Adversarial Networks
