Vol. 5 No. 1 (2026)
The Intelligent Methods in Engineering Sciences (Vol. 5, No. 1, 2026) presents a collection of innovative studies demonstrating the growing impact of intelligent systems and machine learning techniques across engineering and healthcare applications. This issue features research on deep learning and image processing approaches for plant disease detection, breast cancer diagnosis using ensemble-based machine learning methods, skin lesion classification through deep feature extraction with SqueezeNet architectures, and hybrid financial prediction models integrating deep learning with worst Omega optimization. Together, these contributions emphasize the effectiveness of artificial intelligence and computational intelligence methods in solving complex classification, prediction, and decision-making problems in real-world domains.
Published:
2026-04-30
