Thank you for reading introductory digital image processing. As you may know, people have search hundreds times for their chosen books like this introductory digital image processing, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they are facing with some malicious virus inside their laptop. introductory digital image processing is available in our book collection an online access to it is set as public so you can get it instantly. Our books collection hosts in multiple locations, allowing you to get the most less latency time to download any of our books like this one. Merely said, the introductory digital image processing is universally compatible with any devices to read.

Introductory Digital Image Processing

In this paper, a new family of continuous distributions called the exponentiated transmuted-G family is proposed which extends the transmuted-G family defined by Shaw and Buckley (2007). Some of it...

The exponentiated transmuted-G family of distributions: Theory and applications

Observation-based and modeling studies have identified the Eastern Mediterranean and Middle East (EMME) region as a prominent climate change hotspot. While several initiatives have addressed the impacts of climate change in parts of the EMME, here we present an updated assessment, covering a wide range of timescales, phenomena and future pathways. Our assessment is based on a revised analysis of recent observations and projections and an extensive overview of the recent scientific literature on the causes and effects of regional climate change. Greenhouse gas emissions in the EMME are growing rapidly, surpassing those of the European Union, hence contributing significantly to climate change. Over the past half-century and especially during recent decades, the EMME has warmed significantly faster than other inhabited regions. At the same time, changes in the hydrological cycle have become evident. The observed recent temperature increase of about 0.45°C per decade is projected to continue, although strong global greenhouse gas emission reductions could moderate this trend. In addition to projected changes in mean climate conditions, we call attention to extreme weather events with potentially disruptive societal impacts. These include the strongly increasing severity and duration of heatwaves, droughts and dust storms, as well as torrential rain events that can trigger flash floods. Our review is complemented by a discussion of atmospheric pollution and land-use change in the region, including urbanization, desertification and forest fires. Finally, we identify sectors that may be critically affected and formulate adaptation and research recommendations toward greater resilience of the EMME region to climate change. 

/pdf/climate-change-and-weather-extremes-in-the-eastern-1ckqb9nj.pdf

Climate Change and Weather Extremes in the Eastern Mediterranean and Middle East

Target recognition in uncertain environments is a hot issue. Fusion rules are used to combine the sensor reports from different sources. In this situation, obtaining more information to make correc...

https://journals.sagepub.com/doi/pdf/10.1177/1550147719849381

The generalization negation of probability distribution and its application in target recognition based on sensor fusion

The purpose of this paper is to identify an effective statistical distribution for examining COVID-19 mortality rates in Canada and Netherlands in order to model the distribution of COVID-19. The modified Kies Frechet (MKIF) model is an advanced three parameter lifetime distribution that was developed by incorporating the Frechet and modified Kies families. In particular with respect to current distributions, the latest one has very versatile probability functions: increasing, decreasing, and inverted U shapes are observed for the hazard rate functions, indicating that the capability of adaptability of the model. A straight forward linear representation of PDF, moment generating functions, Probability weighted moments and hazard rate functions are among the enticing features of this novel distribution. We used three different estimation methodologies to estimate the pertinent parameters of MKIF model like least squares estimators (LSEs), maximum likelihood estimators (MLEs) and weighted least squares estimators (WLSEs). The efficiency of these estimators is assessed using a thorough Monte Carlo simulation analysis. We evaluated the newest model for a variety of data sets to examine how effectively it handled data modeling. The real implementation demonstrates that the proposed model outperforms competing models and can be selected as a superior model for developing a statistical model for COVID-19 data and other similar data sets.

A New Modified Kies Fréchet Distribution: Applications of Mortality Rate of Covid-19.

Thiago G. Ramires Indranil Ghosh e and G.G. Hamedani f aDepartment of Statistics, Mathematics and Insurance, Benha University, Egypt bDepartment of Statistics, Persian Gulf University, Bushehr, Iran cFaculty of Mathematics, University of Sistan and Baluchestan, Zahedan, Iran. dDepartment of mathematic, Federal University of Technology Parana, Brazil eDepartment of Mathematics and Statistics, University of North Carolina Wilmington, USA fDepartment of Mathematics, Statistics and Computer Science, Marquette University,USA

/pdf/the-transmuted-topp-leone-g-family-of-distributions-theory-8yst32qj68.pdf

The Transmuted Topp-Leone G Family of Distributions: Theory, Characterizations and Applications

Recently, an alternative measure of uncertainty called extropy is proposed by Lad et al. [12]. The extropy is a dual of entropy which has been considered by researchers. In this article, we introduce an alternative measure of uncertainty of random variable which we call it cumulative residual extropy. This measure is based on the cumulative distribution function F. Some properties of the proposed measure, such as its estimation and applications, are studied. Finally, some numerical examples for illustrating the theory are included.

https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0269964819000196

On cumulative residual extropy

/pdf/a-new-weibull-class-of-distributions-theory-2wfuu0wwhv.pdf

A New Weibull Class of Distributions: Theory, Characterizations and Applications

A new class of models called the transmuted odd log-logistic-G family IS proposed and studied. The method of maximum likelihood is used to estimate the unknown parameters. The performance of the ma...

The transmuted odd log-logistic-G family of distributions

In this work, we introduce a new class of continuous distributions called the generalized poisson family which extends the quadratic rank transmutation map. We provide some special models for the new family. Some of its mathematical properties including Renyi and q-entropies, order statistics and characterizations are derived. The estimations of the model parameters is performed by maximum likelihood method. The Monte Carlo simulations is used for assessing the performance of the maximum likelihood estimators. The ‡exibility of the proposed family is illustrated by means of two applications to real data sets.

S. M. A. Jahanshahi

Papers

The Transmuted Topp-Leone G Family of Distributions: Theory, Characterizations and Applications

On cumulative residual extropy

A New Weibull Class of Distributions: Theory, Characterizations and Applications

The transmuted odd log-logistic-G family of distributions

The Generalized Transmuted Poisson-G Family of Distributions: Theory, Characterizations and Applications