Residual Block Final Year Projects with Source Code
Residual Block Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Residual Block projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.
Residual Block Final Year Projects
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Bit-Plane and Correlation Spatial Attention Modules for Plant Disease Classification
This project focuses on automatically identifying plant diseases using artificial intelligence. It improves existing deep learning methods by adding a special attention model that focuses on the most important parts of plant images. The model detects disease areas more accurately and achieves very high accuracy on public plant disease datasets. The experiments show it works better than many commonly used methods. -
Loop Residual Attention Network for Automatic Segmentation of COVID-19 Chest X-Ray Images
This project focuses on using artificial intelligence to analyze chest X-rays for COVID-19 detection. The researchers developed a new method that can accurately identify infected areas, even when their size or location varies. The approach improves how the system understands both the position and details of the infection in the X-ray images. Tests on public datasets show it works better and more reliably than existing methods. -
MLFAN Multilevel Feature Attention Network With Texture Prior for Image Denoising
This project focuses on improving image denoising using deep learning. The researchers developed a new convolutional neural network that considers texture details and multiple levels of image features. Their model uses attention mechanisms to focus on the most important features for better noise removal. Experiments show it removes noise more effectively than many existing methods, keeping image details clear.
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Residual Block Project Synopsis & Presentation
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