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Synthesizing High-fidelity Time-series Sensor Signals To Facilitate Machine-learning Innovations

Multivariate Memory Vectorization Technique to Facilitate Intelligent Caching in Time-Series Databases

Bivariate Optimization Technique for Tuning SPRT Parameters to Facilitate Prognostic Surveillance of Sensor Data from Power Plants

MSET-based Process for Certifying Provenance of Time-Series Data in a Time-Series Database

Dequantizing low-resolution IOT signals to produce high-accuracy prognostic indicators

Hybrid Clustering-partitioning Technique that Optimizes Accuracy and Compute Cost for Prognostic Surveillance of Sensor Data

Electric Load Forecasting Based on Smart Meter Signals