Results 271 to 280 of about 290,509 (308)

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

Assembling a True “Olympic Gel” From over 16 000 Combinatorial DNA Rings

Advanced Materials, EarlyView.
Olympic gels are an elusive class of soft matter, consisting of molecular networks held together purely by mechanically interlocked rings. Their topological structure promises unique properties and functions, but their synthesis has proven notoriously difficult.
Sarah K. Speed, Yu‐Hsuan Peng, Azra Atabay, Krishna Gupta, Toni Müller, Carolin Fischer, Ilka M. Hermes, Jens‐Uwe Sommer, Michael Lang, Elisha Krieg   +9 more
wiley   +1 more source

Some of the next articles are maybe not open access.

Related searches:

The beta exponential distribution

Reliability Engineering and System Safety, 2006
Abstract The exponential distribution is perhaps the most widely applied statistical distribution for problems in reliability. In this note, we introduce a generalization—referred to as the beta exponential distribution—generated from the logit of a beta random variable.
Saralees Nadarajah
exaly   +2 more sources

The gamma-exponentiated exponential distribution

Journal of Statistical Computation and Simulation, 2012
In this paper, we introduce a new distribution generated by gamma random variables. We show that this distribution includes as a special case the distribution of the lower record value from a sequence of i.i.d. random variables from a population with the exponentiated (generalized) exponential distribution.
Miroslav M Ristic
exaly   +2 more sources

A Characterization of the Exponential Distribution

Calcutta Statistical Association Bulletin, 1994
In this note we prove that the exponential distribution is characterized by the property [Formula: see text] where Y is a future observation and x 1 , x 2 ,…, x n are identical and independently distributed ...
Jeevanand, E. S., Nair, N. Unnikrishnan
openaire   +2 more sources

The Exponentiated Type Distributions

Acta Applicandae Mathematicae, 2006
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nadarajah, Saralees, Kotz, Samuel
openaire   +2 more sources

THE LOMAX-EXPONENTIAL DISTRIBUTION

Far East Journal of Theoretical Statistics, 2015
Summary: The exponential distribution is perhaps the most commonly used statistical distribution in reliability and the Lomax distribution is extensively studied with reference to order statistics. In this paper, we introduce a new statistical distribution constructed by combining the cumulative density function (cdf) of these two distributions and ...
Gupta, Jaya, Garg, Mridula
openaire   +1 more source

Exponential–Uniform Distribution

Iranian Journal of Science and Technology, Transactions A: Science, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Habibi, M., Asgharzadeh, A.
openaire   +2 more sources

The exponentiated Perks distribution

International Journal of System Assurance Engineering and Management, 2016
The study proposes the exponentiated Perks distribution as a generalization of Perks distribution. This generalized distribution provides monotone nondecreasing and bathtub shaped hazard rate function. We study its mathematical properties including mode, median, quantile function and order statistics. The estimation of the model parameters is discussed
Bhupendra Singh, Neha Choudhary
openaire   +1 more source

A Generalized Exponential Distribution

Biometrical Journal, 1987
This paper discusses a new generalization of the exponential distribution. The distribution has its basis in the first emptiness time distribution of semi-infinite reservoir model. The distribution has two parameters, the additional parameter is such that both the mean and variance tend to increase with an increase in its value, but the variance ...
openaire   +2 more sources