Machine Learning Project Topics With Abstracts and Base Papers 2024

Embark on a journey into the realm of machine learning with our curated list of M.Tech project topics for 2024, complemented by trending IEEE base papers. These projects cover a spectrum of innovative applications and advancements in the field, offering an invaluable resource for M.Tech students seeking to push the boundaries of knowledge and skill. Our comprehensive collection encompasses diverse Machine Learning project topics, each accompanied by a meticulously selected base paper and a concise abstract. From natural language processing and computer vision to reinforcement learning and predictive analytics, these projects reflect the latest trends in the ever-evolving landscape of artificial intelligence. Stay ahead of the curve by exploring projects that align with the current demands and challenges faced by industries worldwide. Whether you are a student, researcher, or industry professional, our compilation serves as a gateway to the forefront of machine learning innovation. The project titles are strategically chosen to include relevant keywords, ensuring alignment with the latest IEEE standards and technological advancements. Dive into the abstracts to gain a quick insight into the scope, methodology, and potential impact of each project.

M.Tech Projects Topics List In Machine Learning

 

Project TopicsBase PaperAbstract
1.Analysis and Detection of Autism Spectrum Disorder Using Machine Learning Techniques. Get HelpDownloadAbstract
2.A Machine Learning-Based Recommender System for Improving Students Learning Experiences. Get HelpDownloadAbstract
3.MobileNetV1-Based Deep Learning Model for Accurate Brain Tumor Classification. Get HelpDownloadAbstract
4.Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation.  Get HelpDownloadAbstract
5.Multi-Tier Sentiment Analysis of Social Media Text Using Supervised Machine Learning. Get HelpDownloadAbstract
6.Brain Tumor Classification Using Dense Efficient-Net. Get HelpDownloadAbstract
7.Machine Learning Based Framework for Maintaining Privacy of Healthcare Data. Get HelpDownloadAbstract
8.Increasing the Performance of Machine Learning-Based IDSs on an Imbalanced and Up-to-Date Dataset. Get HelpDownloadAbstract
9.Early detection of type 2 diabetes mellitus using machine learning-based prediction models. Get HelpDownloadAbstract
10.Model-based Deep Learning Receiver Design for Rate-Splitting Multiple Access.  Get HelpDownloadAbstract
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