Data Mining
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Open source clinical trial search platform
An open-source web application for searching and finding actively recruiting clinical trials.
Algorithm to predict traumatic brain injury patient quality of life
An algorithm and system for predicting the long-term quality of life for patients who have sustained a traumatic brain injury (TBI).
An AI tool to early identify an individual’s multimorbidity patterns to reduce the risk of ADRD
An artificial intelligence tool early identifies an individual’s multimorbidity or multiple chronic conditions (MCC) patterns to assist in reducing the risks of Alzheimer’s disease and related dementias (ADRD).
Inverse modeling based approach for land cover mapping
A modeling approach for generating land cover maps for crop growth predictions utilizing satellite images and weather data
The Data Remanence Technique for enhanced data encryption
A data remanence based approach for reliable key extraction from SRAM memory cells.
Machine learning model to mitigate the spread of false information on social networks
A machine learning model to identify and classify misinformation spreaders on social networks.
Reduced complexity modular polynomial multiplication for R-LWE cryptosystems
A method for integrating modular reduction into Karatsuba polynomial multiplication, used to optimize performance of R-LWR-based ciphers and other cryptographic systems.
Low Cost Sorting Network Circuits using Unary Processing
A novel area and power-efficient approach for hardware implementation of sorting network circuits based on “unary processing”
A data privatization method which maintains statistical accuracy
A novel data protection method that maintains the statistical accuracy of the data and also provides state-of-the-art data privacy.
Assisted machine learning architecture
A disruptive machine learning architecture invented for privacy-sensitive entities to collaborate with each other without sacrificing the quality of gained intelligence.
Serial Graph Partitioning, Finite Element Analysis and Fill Order Reduction for Sparse Matrices
Low-discrepancy Deterministic Bit-stream Processing
Two methods for fast-converging, scalable deterministic computation based-on low-discrepancy sequences.
Machine learning-based sleep quality monitoring
Machine Learning-based Dynamic Activity Recommendation System
A deep learning architecture for wearable devices to evaluate, predict, and improve the quality of sleep by recommending personalized activities.