Results 71 to 80 of about 28,074 (208)

Bivariate Discrete Inverse Weibull Distribution

open access: yes, 2018
arXiv admin note: text overlap with arXiv:1805.05199, arXiv:1701.03569 by other ...
Eliwa, M. S., El-Morshedy, M.
openaire   +2 more sources

Interference Modeling for Cellular Networks under Beamforming Transmission

open access: yes, 2017
We propose analytical models for the interference power distribution in a cellular system employing MIMO beamforming in rich and limited scattering environments, which capture non line-of-sight signal propagation in the microwave and mmWave bands ...
Elkotby, Hussain, Vu, Mai
core   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

open access: yesInfoMat, EarlyView.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee   +5 more
wiley   +1 more source

The bounded inverse Weibull distribution: An extreme value alternative for application to environmental maxima?

open access: yesWatershed Ecology and the Environment, 2021
There has long been interest in making inferences about future low-probability natural events that have magnitudes greater than any in the past record. Given a stationary time series, the unbounded Type 1 and Type 2 asymptotic extreme value distributions
Earl Bardsley, Varvara Vetrova
doaj   +1 more source

Least squares fitting the three-parameter inverse Weibull density [PDF]

open access: yes, 2010
The inverse Weibull model was developed by Erto [10]. In practice, the unknown parameters of the appropriate inverse Weibull density are not known and must be estimated from a random sample.
Darija Marković   +2 more
core   +2 more sources

Transmuted Lindley-Geometric Distribution and its applications

open access: yes, 2013
A functional composition of the cumulative distribution function of one probability distribution with the inverse cumulative distribution function of another is called the transmutation map.
Elbatal, Ibrahim, Merovci, Faton
core   +1 more source

Post‐Processed CMIP6 Climate Projections for Hydro‐Environmental Risk Assessment in the Middle East and Central Asia

open access: yesInternational Journal of Climatology, EarlyView.
Estimating water resources is important for regional climate impact analysis and risk estimation. The Middle East and Central Asia have largely reached the limit of sustainably usable water across their river basins and ecosystems. Strategies designed to mitigate environmental risks require a reliable estimation of water availability trends.
Paolo Reggiani   +4 more
wiley   +1 more source

Weibull-Inverse Exponential [Loglogistic] A New Distribution

open access: yesAsian Journal of Probability and Statistics, 2023
The Weibull-inverse exponential-loglogistic distribution which is abbreviated as (Weibull-IE-loglogistc) is a member of the neotric T- inverse exponential family introduced previously by the authors. Properties of this distribution such as (mode, quantile function, median, hazard function, survival function, moments, order statistics and Shannon’s ...
Mahmoud Riad Mahmoud   +2 more
openaire   +1 more source

Data‐Based Detection of Antagonistic Agents in a Robot Swarm Solving a Dynamic Coverage Task

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT Robot swarms can be deployed as moving surveillance systems, for instance, as mobile anti‐poaching systems for monitoring wildlife and detecting poaching activities. Since poachers have an interest in evading detection, robots are at risk of being hijacked and manipulated to behave antagonistically, for example, to prevent the correct ...
Ingeborg Wenger   +2 more
wiley   +1 more source

Runtime Distributions and Criteria for Restarts

open access: yes, 2017
Randomized algorithms sometimes employ a restart strategy. After a certain number of steps, the current computation is aborted and restarted with a new, independent random seed. In some cases, this results in an improved overall expected runtime.
A Arbelaez   +11 more
core   +1 more source

Home - About - Disclaimer - Privacy