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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Fall Detection and Rescue System from Borewell
Abstract: The way the plates are arranged within the bore well prevents the youngster from entering very far, hence the offered remedy will ensure the child's survival. Unintentionally falling into a borewell can be extremely hazardous, especially for children and animals, as it could endanger their lives. In order to solve this issue, the suggested system has developed a unique robot system that can swiftly identify and handle such situations. The …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 7–13 Read article