MTech Computer Science thesis topics explore advanced domains like AI, machine learning, data science, and cybersecurity. These topics address both theoretical insights and practical challenges, aiming to bridge academic research with real-world applications. Students gain deeper technical expertise and industry relevance, preparing them to contribute meaningfully to evolving technological landscapes.
The project aims to detect hate in memes using machine learning by analyzing text, images, and online entity data. It leverages multimodal AI models to understand meme context, improving accuracy in identifying harmful content
This paper reviews advanced ALPR systems using C, highlighting their importance in urban traffic management. It discusses key components, challenges, and solutions for accurate license plate detection and character recognition.
This study analyzes various research on detecting fake news using machine learning and deep learning. It highlights the growing need for detection methods due to misinformation spread via online and social platforms.
This study proposes a hybrid model using BERT, BiLSTM, and CNN for classifying suicide note sentiments. It captures emotional subtleties and classifies text into six emotion categories with high accuracy.