Advancing the frontiers of computational research
Computational Frontiers is a cutting-edge journal dedicated to advancing the field of computational sciences. As an interdisciplinary platform, it welcomes contributions from various disciplines, including computer science, mathematics, physics, engineering, and beyond. The journal focuses on the frontiers of computational research, exploring novel algorithms, computational models, and innovative applications. With an emphasis on theoretical foundations and practical implementations, Computational Frontiers provides a space for researchers to exchange ideas, share their latest findings, and push the boundaries of computational knowledge. The journal operates under an open access policy, ensuring the widespread availability of published articles to the global research community. Through a rigorous peer-review process, Computational Frontiers maintains a high standard of scientific integrity and promotes the dissemination of impactful research.
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Comparative Evaluation of Deep Learning Models for Maize Leaf Disease Classification Using ResNet50, EfficientNet-B0 and MobileNetV3
Darius Tienhua Chinyio, Orseer Collins Nor, Chat Darius Chinyio, Computer Science Department, Nigerian Defence Academy, Nigeria
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