Mehmet A. Orgun

TL;DR: A novel hybrid threshold adaptable quantum secret sharing scheme, using an m-bonacci orbital angular momentum pump, Lagrange interpolation polynomials, and reverse Huffman-Fibonacci-tree coding, which can detect eavesdropping without joint quantum operations and permits secret sharing for an arbitrary but no less than threshold-value number of classical participants with much lower bandwidth.

TL;DR: In this article, the authors proposed a hybrid threshold adaptable quantum secret sharing scheme, using an m-bonacci orbital angular momentum (OAM) pump, Lagrange interpolation polynomials, and reverse Huffman-Fibonacci-tree coding.

TL;DR: It is shown how top-down decompositions of a subject system can be (re)constructed via bottom-up subsystem composition, which involves identifying groups of building blocks using composition operations based on software engineering principles such as low coupling and high cohesion.

TL;DR: A systematic and comprehensive review on SBRS is provided and a hierarchical framework is created to categorize the related research issues and methods of SBRS and to reveal its intrinsic challenges and complexities.

TL;DR: The emerging topic of sequential recommender systems (SRSs) has attracted increasing attention in recent years as discussed by the authors, which involve the above aspects for more precise characterization of user contexts, intent and goals, and item consumption trend, leading to more accurate, customized and dynamic recommendations.