Results 51 to 60 of about 243,099 (282)

Time-memory trade-off in Toom-Cook multiplication: an application to module-lattice based cryptography

Transactions on Cryptographic Hardware and Embedded Systems, 2020
Since the introduction of the ring-learning with errors problem, the number theoretic transform (NTT) based polynomial multiplication algorithm has been studied extensively.
Jose Maria Bermudo Mera, Angshuman Karmakar, Ingrid Verbauwhede   +2 more
doaj   +1 more source

ModHE: Modular Homomorphic Encryption Using Module Lattices

Transactions on Cryptographic Hardware and Embedded Systems, 2023
The promising field of homomorphic encryption enables functions to be evaluated on encrypted data and produce results for the same computations done on plaintexts.
Anisha Mukherjee, Aikata Aikata, Ahmet Can Mert, Yongwoo Lee, Sunmin Kwon, Maxim Deryabin, Sujoy Sinha Roy   +6 more
doaj   +1 more source

Learning with Errors is easy with quantum samples

, 2018
Learning with Errors is one of the fundamental problems in computational learning theory and has in the last years become the cornerstone of post-quantum cryptography.
Grilo, Alex B., Kerenidis, Iordanis, Zijlstra, Timo   +2 more
core   +2 more sources

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

A study of factors related to primary grade spelling: correlations of factors studied. [PDF]

, 1951
Thesis (Ed.M.)--Boston ...
Conway, Virginia, DiDio, Mildred G., Dolan, Grace M., Lynch, Mary I., Martell, Patricia C., O'Hearn, Elizabeth M., Russell, Lucie E.   +6 more
core   +1 more source

Post-quantum cryptographic hardware primitives [PDF]

, 2020
The development and implementation of post-quantum cryptosystems have become a pressing issue in the design of secure computing systems, as general quantum computers have become more feasible in the last two years.
Agrawal, Rashmi, Bu, Lake, Cheng, Hai, Kinsy, Michel A.   +3 more
core  

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source

The condition number associated with ideal lattices from odd prime degree cyclic number fields

Journal of Mathematical Cryptology
The condition number of a generator matrix of an ideal lattice derived from the ring of integers of an algebraic number field is an important quantity associated with the equivalence between two computational problems in lattice-based cryptography, the ...
de Araujo Robson Ricardo
doaj   +1 more source

Lightweight Post-Quantum Cryptography: Applications and Countermeasures in Internet of Things, Blockchain, and E-Learning

Engineering Proceedings
With the rapid advancement of quantum computing technology, traditional encryption methods are encountering unprecedented challenges in the Internet of Things (IoT), blockchain systems, and digital learning (e-learning) platforms.
Chin-Ling Chen, Kuang-Wei Zeng, Wei-Ying Li, Chin-Feng Lee, Ling-Chun Liu, Yong-Yuan Deng   +5 more
doaj   +1 more source

A Convex Reconstruction Model for X-ray Tomographic Imaging with Uncertain Flat-fields [PDF]

, 2017
Classical methods for X-ray computed tomography are based on the assumption that the X-ray source intensity is known, but in practice, the intensity is measured and hence uncertain.
Aggrawal, Hari Om, Andersen, Martin Skovgaard, Rose, Sean, Sidky, Emil Y.   +3 more
core   +2 more sources