Convolutional Neural Network Algorithm Final Year Projects
Convolutional Neural Network Algorithm Final Year Projects for BE, BTech, ME, MSc and MTech final year engineering students. Moreover, these Convolutional Neural Network Algorithm projects give practical experience and help complete final-year submissions. Additionally, all projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Convolutional Neural Network Algorithm Final Year Projects
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Speech Enhancement Algorithm Based on a Convolutional Neural Network Reconstruction of the Temporal Envelope of Speech in Noisy Environments
This project focuses on improving the clarity and quality of speech in noisy environments. It uses a deep learning model called a 1-dimensional convolutional neural network to restore speech signals that have been distorted by noise. The method splits speech into multiple frequency bands, processes each band, and reconstructs the speech for better understanding. Tests show that this approach makes speech much clearer and sounds more natural compared to traditional methods. -
A Hybrid Method of Feature Extraction for Signatures Verification Using CNN and HOG a Multi-Classification Approach
This project focuses on verifying handwritten signatures using images. The researchers combined two methods to extract important features from signatures. They then used a feature selection algorithm to pick the most useful ones. Finally, three machine learning models tested the system, achieving high accuracy in detecting both real and skilled fake signatures.
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Convolutional Neural Network Algorithm Project Synopsis & Presentation
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