Abstract Accurate classification of high-resolution satellite imagery is crucial for environmental monitoring, urban development, and natural resource management. This study introduces an improved U-Net architecture enhanced with a Spatial Pyramid Pooling (SPP)Read More…
Abstract In today’s digital world, online transaction security is essential to protect sensitive information. This project introduces a Secure Online Transaction System developed using Java and MySQL, with AES (Advanced Encryption Standard)Read More…
Abstract CAPTCHA (Completely Automated Public Turing Test to Tell Computers and Humans Apart) is a crucial security technology used by websites to block automated malicious attacks. Research on CAPTCHA recognition helps identifyRead More…
Abstract Wild animal detection is essential for wildlife monitoring, conflict prevention, and biodiversity protection. This project introduces a real-time CNN-based system that analyzes video and live camera feeds to identify wild animals automatically. By using deepRead More…
Abstract Modern travelers expect smart, fast, and adaptable travel planning tools. However, traditional server-based platforms often struggle with poor scalability, slow performance, and lack of integration. This project introduces a cloud-based travelRead More…
Abstract Urban traffic congestion is an escalating issue that causes longer travel times, higher fuel usage, and increased pollution. Traditional traffic signals operate on fixed schedules and are unable to respond toRead More…
Abstract Detecting the size and spread of brain tumors is a major challenge in treatment planning. MRI, a non-invasive imaging technique, plays a vital role in brain tumor diagnosis without using ionizingRead More…
Abstract As digital technologies become more integrated into daily life, the risk of cybersecurity threats—especially malware—continues to rise. Traditional malware detection methods, such as signature-based and heuristic techniques, often fail to detectRead More…
Abstract Secure and remote access to patient records is essential for improving healthcare accuracy, reducing medical errors, and increasing efficiency. However, traditional electronic health record (EHR) systems, primarily dependent on centralized cloudRead More…
Abstract This project introduces a server-side deep learning solution for automated road damage detection using the YOLOv8 object detection model integrated into a Flask-based backend. Users can upload images of road surfaces,Read More…
