Precision And Recall Final Year Projects with Source Code
Precision And Recall Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Precision And Recall 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.
Precision And Recall Final Year Projects
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Adjacency Matrix Deep Learning Prediction Model for Prognosis of the Next Event in a Process
This project focuses on predicting the next event in a process to help organizations work more efficiently. Current methods either change the order of events or ignore it completely, which can reduce prediction accuracy. The project proposes a new method called AXDP that keeps the order of events intact while using deep learning to predict the next step. Tests show AXDP performs better than existing models on most datasets. -
Road Crack Detection Using Deep Neural Network Based on Attention Mechanism and Residual Structure
This project focuses on detecting cracks on roads to improve maintenance and safety. The researchers created a new deep learning model called AR-UNet, which uses attention modules to better capture both small and large crack details. Their method improves the accuracy and completeness of crack detection compared to existing models. They tested it on multiple datasets and made the code publicly available.
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Precision And Recall Project Synopsis & Presentation
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Precision And Recall Project Thesis Writing
Final Year Projects provides thesis writing services for Precision And Recall projects. We help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.
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