Enhance LSTM and CNN Accuracy with Data Cleaning and Integration

I need an expert to improve the accuracy of my deep learning analysis GUI app. The task involves cleaning raw data by removing 000 sensor values, training LSTM and CNN models with the cleaned data (hourly records for morning and evening), and embedding the updated code into the current app. Deliverables include cleaned data, enhanced models, and an integrated app with improved accuracy.