This category encompasses a diverse range of studies and applications utilizing convolutional neural networks (CNNs) across various fields such as medical diagnosis, remote sensing, agriculture, and image classification. Key topics include facial recognition accuracy, disease detection in images, sentiment analysis, and advanced deep learning models for complex tasks. Research highlights the effectiveness of CNNs in improving classification accuracy, handling imbalanced data, and developing innovative applications like mobile disease detection tools, while addressing challenges such as early detection and adversarial attacks.