Data processing and analysis

After designing the experiment and selecting a suitable platform and sensor for the intended application, data needs to be collected, processed, and analyzed. Although there might be a slight difference in how datasets from different sensors are handled, the following steps present a broad pipeline that ensures the analysis's efficacy. This pipeline is divided into three main steps: preprocessing, processing, and analytics. As their name indicates, data must be prepared and attributed to physical phenomena and a specific location in the preprocessing stage. Data of interest will be segmented and extracted in the processing step, and in the analytics step, modeling and predictions will be covered.

6.1. Preprocessing

6.2. Processing

6.3. Analytics

6.4. Regression\classification