Results 11 to 20 of about 4,718,106 (270)
Lattice‐based hash‐and‐sign signatures using approximate trapdoor, revisited
IET Information Security, 2022 For the purpose of improving the efficiency of the cryptosystems built upon lattice trapdoors, Chen, Genise and Mukherjee at ASIACRYPT 2019 modified the gadget trapdoor (G‐trapdoor) to an approximate trapdoor, which enables one to sample short preimages ...
Huiwen Jia, Yupu Hu, Chunming Tang
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Atmosphere, 2022 The sampling approach is of utmost importance to obtain data regarding microbial viability and truly assess workers’ potential health effects. The purpose of this assessment is to create a score which will provide up-to-date information to identify the ...
Renata Cervantes +4 more
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Pharmaceutics, 2023 Advances in machine learning (ML) and the availability of protein sequences via high-throughput sequencing techniques have transformed the ability to design novel diagnostic and therapeutic proteins.
Mehrsa Mardikoraem, Daniel Woldring
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Acta Veterinaria Scandinavica, 2002 Bacteriological follow-up samples were taken from 41 chicken (Gallus gallus) flocks in floor systems, where Salmonella enterica (Salmonella) had been detected either directly in bacteriological samples or indirectly by serological samples.
Madsen M, Andersen J, Gradel KO
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Atmosphere, 2022 Many studies have confirmed that the complexity of a time sequence is closely related to its predictability, but few studies have proposed methods to reduce the time sequence complexity, which is the key to improving its predictability.
Xiaowei Huai +5 more
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Folia Oeconomica Stetinensia, 2020 Research background: Mass valuation is a process in which many properties are valued simultaneously with a uniform approach. An example of a procedure used for mass real estate valuation is the Szczecin Algorithm of Real Estate Mass Appraisal (SAREMA ...
Gnat Sebastian
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Network intrusion detection using machine learning approaches: Addressing data imbalance
IET Cyber-Physical Systems, 2022 Cybersecurity has become a significant issue. Machine learning algorithms are known to help identify cyberattacks such as network intrusion. However, common network intrusion datasets are negatively affected by class imbalance: the normal traffic ...
Rahbar Ahsan +2 more
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Rational Construction of Stochastic Numerical Methods for Molecular Sampling [PDF]
, 2012 In this article, we focus on the sampling of the configurational Gibbs-Boltzmann distribution, that is, the calculation of averages of functions of the position coordinates of a molecular $N$-body system modelled at constant temperature.
B. Leimkuhler, C. Matthews, Larini
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Sliced Latin Hypercube Designs for Computer Experiments With Unequal Batch Sizes
IEEE Access, 2018 Latin hypercube designs are frequently used in estimating the mean output value of computer simulations given random environmental factors. Sliced Latin hypercube designs are designs that can be partitioned into a number of batches so that both the whole
Jin Xu +3 more
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Variable-rate data sampling for low-power microsystems using modified Adams methods [PDF]
, 2003 A method for variable-rate data sampling is proposed for the purpose of low-power data acquisition in a small footprint microsystem. The procedure enables energy saving by utilizing dynamic power management techniques and is based on the Adams-Bashforth ...
Cumming, D.R.S. +3 more
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