Abstract: This paper introduces a novel trust-aware hybrid recommendation framework that combines Locality-Sensitive Hashing (LSH) with the trust information in social networks, aiming to provide ...

Hashing transforms data into a fixed-length cryptographic fingerprint that ensures integrity and authenticity. Every block in a blockchain contains its own hash and the previous block’s hash, forming ...

The quest to make biometric data private and secure has led to the development of biometric hashing. Hashing is a one-way process in which an algorithm called a cryptographic hash function takes an ...

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Abstract: Recently, numerous degraded images have flooded search engines and social networks, finding extensive and practical applications in the real world. However, these images have also posed new ...

Neighbor Search and Clustering for Time-Series using Locality-sensitive hashing and Randomized Projection to Hypercube. Time series comparison is performed using Discrete Frechet or Continuous Frechet ...