Internet of Things (IoT) projects for M.E., M.Tech, Masters, MS abroad, and PhD students. These Internet of Things (IoT) projects are designed for final year project submissions, research work, and publishing research papers. These research projects guide 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 Internet of Things (IoT) Projects
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A Novel Web Framework for Cervical Cancer Detection System – A Machine Learning Breakthrough
The main objective of this project is to enable early and accurate detection of cervical cancer using a web-based expert system. It aims to analyze patient data with multiple machine learning algorithms to identify cancer cases reliably. The system focuses on improving diagnosis accuracy, sensitivity, and specificity. It seeks to highlight the most effective algorithms for detection and provide a practical tool to support healthcare professionals. Overall, the project strives to reduce mortality from cervical cancer and enhance women’s healthcare globally. -
A Self-Attention-Based Deep Convolutional Neural Networks for IIoT Networks Intrusion Detection
The project aims to enhance security and privacy in Industrial Internet of Things networks by detecting malicious activities accurately. It focuses on improving traditional machine learning and deep learning methods that struggle with imbalanced and repetitive network data. The approach uses a self-attention-based deep convolutional neural network to monitor network behavior. It also applies data cleaning and feature filtering techniques to reduce redundancy and improve model performance. The system is tested on benchmark datasets and compared with existing models to show its effectiveness. -
A Framework for Investigating the Adoption of Key Technologies: Presentation of the Methodology and Explorative Analysis of Emerging Practices
This project studies how new technologies like AI, blockchain, 3D printing, and IoT are used in businesses. It reads and analyzes thousands of research papers to find patterns in how companies adopt these technologies. The goal is to identify practices that improve business performance. The study also highlights which practices are most common and could become future standards.
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