building, (2) low-cost Fast Fourier Transform (FFT) raw data using multiple sensors, (3) multi-sensor data fusion, (4 …%. Furthermore, multi-sensor data fusion significantly outperforms single-sensor approaches, demonstrating an enhancement in fault …) for multi-fault classification of rotating machines using multi-sensor data fusion. …

ensemble learning and big data fusion for risk prediction and categorization of breast cancer. The key focus is building a … the promise of ensemble learning and big data fusion for predicting and classifying breast cancer risks. By proposing a …

using the first-of-its-kind blockchain smart contracts powered by multi-sensor data-fusion algorithms using artificial … intelligence. We have demonstrated how different data-fusion modes can be employed to retrieve various physico-chemical parameters …