Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...
A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...
Data collection is the process of gathering and measuring information used for research. Collecting data is one of the most important steps in the research process, and is part of all disciplines ...
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Cryo-electron tomography visualizes molecules inside cells, but it lacks flexible tools to study their spatial organization. The authors present TANGO, a framework that utilizes neighborhoods of ...