Most people assume object tracking for autonomous flight is very complex, but it doesn’t have to be that way. All you need is ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Abstract: The development of a real-time railway obstacle detection framework based on an optimized YOLO network to ensure increased safety and operational efficiency by accurate identification of ...

This research investigates deep learning-based approach for defect detection in the steel production using Severstal steel dataset. The developed system integrates DenseNet121 for classification and ...

Hackers are utilizing code from a Python clone of Microsoft's venerable Minesweeper game to hide malicious scripts in attacks on European and US financial organizations. Ukraine's CSIRT-NBU and ...

This is the second part of the project and here we are going to design Lidar-based Lane Detection System using Raspberry Pi. In the previous part, we designed the LIDAR-based surrounding mapping and ...

The detection of new multiple sclerosis (MS) lesions is an important marker of the evolution of the disease. The applicability of learning-based methods could automate this task efficiently. However, ...

Abstract: In this research paper, we are going to see the profound scientific use of computer technology applied in the fields of AI and Machine Learning primarily focused on Image Processing and ...

Machine learning and computer vision technologies based on high-resolution imagery acquired using unmanned aerial systems (UAS) provide a potential for accurate and efficient high-throughput plant ...