Implementation Plan:
Step 1: Initially, we collect and load data from the Building Structural Health Sensor Dataset.
Step 2: Then, we pre process the collected data using hybrid self-attention (SA) and Generative adversarial network (GAN)” for efficiently denoise the seismic signals data.
Step 3: Next, we perform Seismic feature representation using Noise-assisted multivariate empirical mode decomposition (NA-MEMD) and Duhamel-based time–frequency analysis based on collected data.
Step 4: Next, we predict the Seismic responses using the Wavelet-Galerkin method to capture time-varying dynamics of non-stationary seismic signals based on collected data.
Step 5: Next, we optimize the data using HBO-GP-IBWKO method to improve generalization ability based on collected data.
Step 6: Next, we classify the state of structural damage caused by seismic activity using the FUZZY-EVC method based on collected data.
Step 7: Next, we analyze the safety levels based on the state of structural damage data.
Step 8: Finally, we plot performance metrics for the following
8.1 : Number of Epochs Vs. Accuracy (%)
8.2 : Number of Epochs Vs. Precision (%)
8.3 : Number of Epochs Vs. Recall (%)
8.4 : Number of Epochs Vs. Mean absolute percentage error (%)
8.5 : Number of Epochs Vs. Root mean square error (RMSE)
8.6 : Number of Epochs Vs. Probability density (m−1)
Software Requirements:
1. Development Tool: Python 3.11.4 or above
2. Operating System: Windows-10 (64-bit) or above
Dataset:
Link: Building Structural Health Sensor Dataset
Note:
1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.
3) If the plan satisfies your requirement, Please confirm with us.
4) Project based on Simulation only.
We perform with an Existing Approach Ref 19: Rapid seismic-damage assessment method for buildings on a regional scale based on spectrum-compatible data augmentation and deep learning
