Python
ATT Squeeze U-Net A Lightweight Network for Forest Fire Detection and Recognition
Automated Brain Tumor Segmentation and Classification in MRI using YOLO-based Deep Learning
Python, Deep Learning, Generative AI, Projects, Artificial Intelligence, Deep Learning, Generative AI
The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv11 architecture. The focus is on enhancing the accuracy and reliability of tumor identification in brain imaging, specifically through advanced segmentation techniques. By leveraging deep learning models, the study seeks to provide an automated solution for real-time tumor segmentation, assisting in clinical decision-making and early diagnosis.
Automated Smart Attendance System Using Face Recognition
Automatic Billing Trolley for an Enhanced Supermarket using RFID
Automatic Grass Cutting Robot Using Arduino And Ultrasonic Sensor
Automatic Grass Cutting Robot Using Arduino And Ultrasonic Sensor
Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy
Bio Touch Pass: Handwritten Passwords for Touch screen Biometrics
Biobin For Safe Handling And Disposing Of Biomedical Waste During Covid ’19
