Smart Manufacturing Projects for ME, MTech, Masters, MS abroad, and PhD students. These Smart Manufacturing ieee projects are implemented with future work and extension for final year students with research paper writing and publishing. These research projects guide final year students to learn, practice, and complete their academic submissions successfully. Each project includes complete source code, project report, PPT, a tutorial, documentation, and a research paper.

Latest Smart Manufacturing Projects

  1. Multi-Objective Deep Reinforcement Learning for Efficient Workload Orchestration in Extreme Edge Computing
    This project focuses on managing computing tasks on small, limited-capacity devices at the edge of a network. It introduces a learning-based system called DEWOrch that decides how to use these devices efficiently. The system reduces energy use and resource waste while completing more tasks successfully. It works well even when large servers are not available.
  2. Adaptive Age of Information Optimization in Rateless Coding-Based Multicast-Enabled Sensor Networks
    This project focuses on improving how data is sent in wireless sensor networks. It uses a new coding method to reduce delays caused by retransmissions. The goal is to keep information as fresh as possible by deciding the best time to send updates. The approach is tested with simulations and shows better performance than older methods.
  3. Intent-Based Security for Functional Safety in Cyber-Physical Systems
    This project focuses on making smart factory systems safer. It collects information from many sensors and checks if the system is truly in danger or operating normally. By using AI and machine learning, it predicts possible safety problems before they happen. This helps prevent unnecessary shutdowns and keeps both machines and people safe.
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