搜索结果: 1-15 共查到“Unknown”相关记录104条 . 查询时间(0.164 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars:Synthesis of robust memory modes for linear quantum systems with unknown inputs
未知输入 线性量子系统 鲁棒记忆模式
2023/11/7
The last unknown: Study reveals richest island flora in the world(图)
richest island flora world
2020/8/14
Imagine if there were 600 species of giraffes, some the size of a shrew, some three stories tall, some with purple spots. Suppose there were reports of rare ones wandering high in the mountains of the...
Previously unknown mechanism causes increased forest water use(图)
unknown mechanism forest water use
2019/10/22
Researchers have discovered a previously unknown mechanism that causes increased water use in forests, advancing our understanding of forest water cycles and highlighting threats to plants from water ...
IDENTIFICATION OF SIMILARITIES AND PREDICTION OF UNKNOWN FEATURES IN AN URBAN STREET NETWORK
urban traffic traffic analysis machine learning clustering
2018/11/9
Accurate predictions of the characteristics of urban streets in particular with respect to the typical traffic situations are crucial for numerous real world applications such as navigation, schedulin...
UAV-BASED DETECTION OF UNKNOWN RADIOACTIVE BIOMASS DEPOSITS IN CHERNOBYL’S EXCLUSION ZONE
UAV LiDAR gamma spectrometry 3D vegetation mapping biomass machine learning
2018/6/4
Shortly after the explosion of the Chernobyl nuclear power plant (ChNPP) in 1986, radioactive fall-out and contaminated trees (socalled Red Forest) were buried in the Chernobyl Exclusion Zone (ChEZ). ...
COUPLING REGULAR TESSELLATION WITH RJMCMC ALGORITHM TO SEGMENT SAR IMAGE WITH UNKNOWN NUMBER OF CLASSES
SAR Image Segmentation Segmentation with Unknown Number of Classes Regular Tessellation RJMCMC Algorithm
2016/11/23
This paper presents a Synthetic Aperture Radar (SAR) image segmentation approach with unknown number of classes, which is based on regular tessellation and Reversible Jump Markov Chain Monte Carlo (RJ...
Fox et al (1), after having compared Mexican Pima Indians
with non-Pima Mexicans living in the same traditional environment,
concluded that their own results do not support the hypothesis
that hypo...
Static program analysis techniques cannot know certain values,such as the value of user input or network state, at analysis time. While such unknown values need to be treated as non-deterministic choi...
Solving Linear Equations Modulo Unknown Divisors: Revisited
Lattice-based analysis Linear modular equations RSA
2016/1/9
We revisit the problem of finding small solutions to a collection
of linear equations modulo an unknown divisor p for a known
composite integer N. In CaLC 2001, Howgrave-Graham introduced an
effici...
Secret sharing allows a dealer to distribute a secret among multiple parties such that
authorized coalitions can reconstruct the secret. Traditionally, the dealer knows the exact
share each user hol...
Self-bilinear Map on Unknown Order Groups from Indistinguishability Obfuscation and Its Applications
self-bilinear map indistinguishability obfuscation multilinear map
2016/1/4
A self-bilinear map is a bilinear map where the domain and target groups are identical. In
this paper, we introduce a self-bilinear map with auxiliary information which is a weaker variant
of a self...
Results on polynomial interpolation with mixed modular operations and unknown moduli
mixed modular operations unknown moduli
2015/12/22
Motivated by a recently introduced HIMMO key predistribution scheme, we
investigate the limits of various attacks on the polynomial interpolation problem with mixed
modular operations and hidden mod...
Practical Witness Encryption for Algebraic Languages And How to Reply an Unknown Whistleblower
Witness encryption smooth projective hash functions ring signatures
2015/12/21
Witness encryption (WE) is a recent powerful encryption paradigm. It greatly
extends the scope of encryption as it allows to encrypt a message using the description
of a hard problem (a word in some...
Estimation of Unknown Height with Artificial Neural Network on Digital Terrain Model
Artifcial Neural Network DEM/DTM Modelling Prediction Accuracy
2015/12/8
In Digital Terrain Models (DTM) interpolation is actually a surface fitting problem. For the estimation of heights of points with known X-Y coordinates there are many interpolation methods. Besides, t...
Resistant Strains of Enterotoxigenic Staphylococcus aureus;Unknown Risk for Multiple Sclerosis Exacerbation
Multiple Sclerosis Antibiotic Resistance Iran Enterotoxins Staphylococcus aureus
2015/11/9
Background: Despite all advances in neurological sciences, there are unknown aspects in the epidemiology of multiple sclerosis (MS). Based on this hypothesis, the enterotoxigenic strains of Staphyloco...