Multi-Scale Features Final Year Projects with Source Code

Byadmin Final Year Projects

Multi-Scale Features Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Multi-Scale Features 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.

Multi-Scale Features Final Year Projects

  1. Anchor-Free Feature Aggregation Network for Instrument Detection in Endoscopic Surgery
    This project focuses on helping surgeons see and track their tools during delicate nasal surgeries. It develops a smart computer system that can detect surgical instruments in real time from endoscopic videos. The system uses advanced image analysis techniques to identify and locate tools accurately. Tests show it works better than existing methods, making surgeries safer and easier to perform.
  2. EC2Net Efficient Attention-Based Cross-Context Network for Near Real-Time Salient Object Detection
    This project focuses on detecting important objects in images quickly and accurately. The researchers designed a new method called EC2Net, which combines simple and deep image features efficiently. Their approach uses special modules to preserve object boundaries and improve understanding of complex patterns. Tests showed it works well while using less memory and computing power than existing methods.
  3. Identifying Bearing Faults Using Multiscale Residual Attention and Multichannel Neural Network
    This project develops a new method to detect faults in machine bearings from vibration signals. It uses a special neural network called MSCNet that looks at the signal at multiple scales and focuses on important features while ignoring noise. The system cleans the signal first and then analyzes it in detail. Tests show it is highly accurate and works better than existing methods, even in noisy conditions.
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Multi-Scale Features Project Synopsis & Presentation

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Multi-Scale Features Project Thesis Writing

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