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Pneumonia Detection Using Convolutional Neural Networks (CNNs)
2020Pneumonia, an interstitial lung disease, is the leading cause of death in children under the age of five. It accounted for approximately 16% of the deaths of children under the age of five, killing around 880,000 children in 2016 according to a study conducted by UNICEF. Affected children were mostly less than two years old.
V. Sirish Kaushik +3 more
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Cardamom Grading Using Convolutional Neural Network(CNN)
2023Abstract— Cardamom grading is a crucial task in the spice industry, and automating it can significantly reduce the cost and time associated with manual grading while improving accuracy. Convolutional Neural Networks (CNNs) have shown promising results in object detection tasks, and the Faster R-CNN technique, which uses CNNs for region proposal and ...
Afueth Thomas, Dr. Paulin Paul
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Convolutional Neural Networks (CNN)
2019Convolutional neural networks (CNN) are a specific type of neural network systems that are particularly suited for computer vision problems such as image recognition. In such tasks, the dataset is represented as a 2-D grid of pixels. See Figure 35-1.
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Convolutional Neural Network (CNN): The architecture and applications
Applied Journal of Physical Science, 2022The human brain is made up of several hundreds of billions of interconnected neurons that process information in parallel. Researchers in the field of artificial intelligence have successfully demonstrated a considerable level of intelligence on chips and this has been termed Neural Networks (NNs).
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Deep Learning and Convolutional Neural Networks (CNNs)
Deep Learning (DL), a subfield of Artificial Intelligence (AI) and Machine Learning (ML), has revolutionized computational intelligence by enabling machines to automatically learn hierarchical representations from large datasets. Among the various deep learning architectures, Convolutional Neural Networks have emerged as a dominant framework ...V. V. Virginia +4 more
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Learners mood detection using Convolutional Neural Network (CNN)
2017 3rd International Conference on Science in Information Technology (ICSITech), 2017This research concerns about classroom learners mood detection in learning process which is believed to be an important thing to increase learning process effectiveness. Convolutional Neural Network (CNN), a branch of deep learning architectures and a part of Machine Learning, was used as a method in this research.
Rosa Ariani Sukamto +2 more
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Vehicle Recognition Using Convolution Neural Network (CNN)
International Journal of Biometrics, 2023Abubakar Chonnoo +2 more
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DL-CNN: Double Layered Convolutional Neural Networks
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022Lixin Fu, Rohith Rangineni
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Convolutional Neural Networks (CNNs) for Medical Imaging
The chapter delves into the transformative impact of Convolutional Neural Networks (CNNs) on medical imaging, highlighting their ability to enhance diagnostic accuracy, streamline workflows, and enable real-time image analysis. It provides a comprehensive overview of CNN architectures, their principles, and their integration into diverse medical ...S. Aishwarya +5 more
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Glaucoma Detection Using Convolutional Neural Network (CNN)
2023 20th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2023Tewodros Gizaw Tohye +3 more
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