Results 31 to 40 of about 3,073 (205)

A new probabilistic model with simulation studies: Model, theoretical insights, and its application to radar-based precipitation measurement

Alexandria Engineering Journal
This study provides important insights into the contemporary literature on the evolution of new probability distributions. We utilize a proven trigonometric-oriented probabilistic method to develop a new probability distribution.
Xuejun Zhou, Abdulrahman Alomair, Abdulaziz S. Al Naim   +2 more
doaj   +1 more source

Opportunities of Semiconducting Oxide Nanostructures as Advanced Luminescent Materials in Photonics

Advanced Materials, EarlyView.
The review discusses the challenges of wide and ultrawide bandgap semiconducting oxides as a suitable material platform for photonics. They offer great versatility in terms of tuning microstructure, native defects, doping, anisotropy, and micro‐ and nano‐structuring. The review focuses on their light emission, light‐confinement in optical cavities, and
Ana Cremades, Pedro Hidalgo, David Maestre, Ruth Martínez‐Casado, Emilio Nogales, Beatriz Rodríguez, G. Cristian Vásquez, Bianchi Méndez   +7 more
wiley   +1 more source

A new probabilistic approach for data modeling in practical scenarios: Considering reliability data with computer knowledge graphs

Alexandria Engineering Journal
It is well-established in the existing literature that probability distributions significantly influence data modeling and the representation of real-world situations. In light of the considerable influence that probability distributions exert in various
Jianping Zhu, Xuxun Cai, Omalsad Hamood Odhah, Haifa Alqahtani, Adel M. Widyan, Hamiden Abd El-Wahed Khalifa   +5 more
doaj   +1 more source

A New Class of Generalized Modified Weibull Distribution with Applications

Austrian Journal of Statistics, 2015
A new five parameter gamma-generalized modified Weibull (GGMW) distribution which includes exponential, Rayleigh, modified Weibull, Weibull, gamma-modified Weibull, gamma-modified Rayleigh, gamma-modified exponential, gamma-Weibull, gamma-Rayleigh, and ...
Broderick Oluyede, Shujiao Huang, Tiantian Yang   +2 more
doaj   +1 more source

Bayesian estimation of the parameter of Maxwell-Mukherjee Islam distribution using assumptions of the Extended Jeffrey's, Inverse-Rayleigh and Inverse-Nakagami priors under the three loss functions

Heliyon, 2021
A three-parameter Maxwell-Mukherjee Islam distribution was proposed by applying Maxwell generalized family of distributions introduced by Ishaq and Abiodun [17].
Aliyu Ismail Ishaq, Alfred Adewole Abiodun, Jamilu Yunusa Falgore   +2 more
doaj   +1 more source

Moments of generalized order statistics for Pareto-Rayleigh distribution

Open Journal of Mathematical Sciences, 2021
In this paper, we derive the explicit expressions for single and product moments of generalized order statistics from Pareto-Rayleigh distribution using hypergeometric functions. Also, some interesting remarks are presented.
M. Alam, R. U. Khan, Z. Vidović
openaire   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

A novel extension of generalized Rayleigh model with engineering applications

Alexandria Engineering Journal, 2023
In this study, we introduce a new flexible distribution constructed by a modification to the Rayleigh distribution and we referred it as unit generalized Rayleigh distribution (UGRD).
M.M. Abd El-Raouf, Mohammed AbaOud
doaj   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Comparison of Bayes Estimators for Parameter and Relia-bility Function for Inverse Rayleigh Distribution by Using Generalized Square Error Loss Function

Al-Mustansiriyah Journal of Science, 2018
In the current study, we have been derived some Basyian estimators for the parameter and relia-bility function of the inverse Rayleigh distribution under Generalized squared error loss function.
Huda A. Rasheed
doaj   +1 more source