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.