Classification projects for M.E., M.Tech, Masters, MS abroad, and PhD students. These Classification 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 Classification Projects
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Classification of Hand-Movement Disabilities in Parkinson’s Disease Using a Motion-Capture Device and Machine Learning
The project aims to develop an objective method to assess motor symptoms in Parkinson’s disease patients. It uses a Leap Motion sensor to capture hand movements during standard tasks. The movement data are processed to extract detailed features. Machine learning techniques are then applied to select the most important features and predict symptom severity. The approach improves accuracy and reduces reliance on expert evaluation. -
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification
This project focuses on detecting lung problems in children using recorded breathing sounds. It uses a computer program that learns patterns in these sounds to tell if a child has a respiratory disease. The system works remotely, so doctors can diagnose patients without face-to-face visits. It is more accurate than older methods and can help in situations like pandemics. -
A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers
This project focuses on improving how malware is detected in computer systems. It changes malware images into grayscale and studies their texture patterns to find useful features. Different machine learning models are tested to identify which gives the best results. The study shows that the KNN model with SFTA and Gabor features gives the highest accuracy in detecting malware efficiently.
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