Mrs. M. Seenivasan, Editor, Nurcan BAYKUŞ SAVAŞANERİL
2025
The accelerating developments in artificial intelligence and computational sciences have transformed not only how we solve problems but also how we conceptualize them. Mathematics, as the universal language of science, lies at the heart of these transformations, providing both the theoretical foundation and the methodological tools for innovation across diverse fields. This book brings together a collection of interdisciplinary studies that exemplify the intersection of mathematics, artificial intelligence, and applied probability, offering insights into both theoretical advancements and practical implementations. The first chapter addresses the use of classical and fuzzy-based clustering algorithms in image segmentation for apple leaf disease detection, a timely example that combines machine learning with sustainable agriculture. By comparing different clustering methods and evaluating their performance, the study highlights how intelligent algorithms can enhance precision agriculture and contribute to food security.
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