Academic Projects.

Abstract The neural network projects focuses on enhancing electrocardiogram (ECG) classification using a convolutional neural network (CNN) optimized by a differential evolution algorithm. The objective is to improve the accuracy…

Abstract COLOR-NEUS aims to reconstruct high-fidelity neural implicit surfaces enriched with color information, leveraging advancements in neural rendering and implicit surface representation. By integrating geometric detail and color properties, the…

Abstract CODEGEEX is an advanced AI-driven project focused on developing trained model projects capable of generating code across multiple programming languages. This model aims to evaluate its performance using a…

Abstract The Chatbot projects aims to develop an AI-powered chatbot specifically designed for the healthcare system to assist patients in managing their health queries and appointments. By utilizing natural language…

Abstract Character Recognition in Natural Images Using Neural Networks" addresses the challenge of identifying and interpreting characters embedded in natural scenes. Unlike scanned documents or printed text, characters in natural…

Abstract "Chain-of-Thought Prompting Elicits Reasoning in Large Language Models" artificial intelligence project explore a novel prompting strategy that enhances the reasoning capabilities of large language models (LLMs). Chain-of-thought (CoT) prompting…

Abstract The integration of Neural Network Video Interpolation and Super-Resolution Techniques into a unified video processing framework aims to revolutionize video quality enhancement by enabling smoother motion transitions and higher…

Abstract "BATGPT: A Bidirectional Autoregressive Talker from Generative Pre-trained Transformer" is a novel conversational AI model that enhances the capability of natural language understanding and generation. By leveraging the bidirectional…

Abstract The project "BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives" introduces an innovative framework combining the concepts of bundle adjustment and neural graphics primitives to optimize visual data representation and rendering.…

Abstract The "Attendance System Based on the Face Recognition of Webcam Images of the Classroom" automates the attendance-taking process by utilizing face recognition technology. This system captures real-time images of…

Abstract This project aims to develop an AI-powered mobile application specifically designed to assist visually impaired people by enhancing their daily navigation and interaction with the environment. Using advanced AI…

Abstract This project develops an automatic recognition system for medicinal plants using computer vision and machine learning techniques. By analyzing images of plants, the system aims to identify various species…

Abstract This project aims to develop an Artificial Intelligence (AI) powered healthcare chatbot system designed to assist patients with medical inquiries, appointment scheduling, and health management advice. Utilizing natural language…

Abstract The project "ANYLOC: Towards Universal Visual Place Recognition" seeks to create a robust system capable of recognizing and categorizing geographical locations from visual inputs universally. The system leverages deep…

Abstract This project aims to analyze the death ratio of COVID-19 patients by applying multiple logistic regression to predict outcomes based on various clinical and demographic factors. The objective is…

Abstract The increasing adoption of smart vehicles and urban infrastructure necessitates efficient and secure parking management systems. This project proposes "An Anonymous Smart Parking and Payment Scheme in Vehicular Networks,"…

Abstract Security concerns in public and private spaces necessitate advanced monitoring systems. This project introduces "An AI-Powered Threat Detector Using Surveillance Cameras," a cutting-edge solution employing artificial intelligence and computer…

Abstract The AI Call Assistant project focuses on developing an automated system that processes call recordings and generates concise summaries using extractive summarization techniques. This system is designed to extract…

Abstract Graph Neural Networks (GNNs) have demonstrated exceptional performance across a wide range of graph-based tasks, such as node classification, link prediction, and graph classification. However, existing approaches often address…

Abstract Air pollution is a significant environmental challenge impacting public health and ecosystems globally. This project, "Air Pollution Monitoring Using Machine Learning," leverages advanced predictive analytics to monitor and assess…