To do research, chemists need data to predict and explain the direction, outcome, and amount of energy released or used during a chemical reaction. This information – called thermochemical data – is essential for a good deal of fundamental chemical science and for understanding and improving industrial processes. Argonne National Laboratory developed the Active Thermochemical Tables (ATcT) over the last two decades to meet the growing need for such data in many sectors.
Tag: data sets
Vehicle color recognition based on smooth modulation neural network with multi-scale feature fusion
Vehicle Color Recognition (VCR) is vital in intelligent traffic management and criminal investigation assistance. However, the existing vehicle color datasets only cover 13 classes, which can not meet the current actual demand.