An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...
Abstract: Automatic underground object classification based on deep learning (DL) has been widely used in ground penetrating radar (GPR) fields. However, its excellent performance heavily depends on ...
The "Dataset" folder contains the cube and cylinder data divided per class for 40 and 80 samples extracted from the grasp peaks. For each kind of objects we collected five classes, i.e. five hardness ...
School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu Rigorous urbanization leads to unprecedented climate change. Pune area in India has witnessed recent ...
The Missile Defense Agency has released a sources sought notice for the development of the Advanced Object Classification, or AOC, 1.1 software upgrade. According to the notice published on SAM.gov ...
WILMINGTON, N.C. (WECT) - A new policy put in place this year makes it so that students in North Carolina can no longer fail based on poor attendance. The North Carolina Department of Public ...
Abstract: Object recognition is a fundamental challenge in computer vision, particularly for fine-grained object classification, where classes differ in minor features. Improved fine-grained object ...
Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...
The forest ecosystem is the largest land vegetation type, which plays the role of unreplacement with its unique value. And in the landscape scale, the research on forest landscape pattern has become ...
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