<p class="jove_content">Here, we describe a protocol for predicting the temperature of coal spontaneous combustion using an SSA-optimized CNN-LSTM-Attention framework that automatically optimizes the network structure and parameters, thereby improving accuracy, adaptability, and generalization across heterogeneous datasets and varied mining conditions.</p>

research-on-deeply-integrated-model-for-structural-optimization-coal

Research on a Deeply Integrated Model for Structural Optimization in Coal Spontaneous Combustion Temperature Prediction

Here, we propose a protocol for coal spontaneous combustion temperature prediction based on a Sparrow Search Algorithm (SSA)-optimized convolutional ...

Institution - China University of Mining and Technology (Beijing)

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