A new Bell-exponential model: Properties and applications

Imran, M.; Bakouch, Hassan S.; Tahir, M.H.; Ameeq, Muhammad; Jamal, Farrukh; Mendy, John T.

doi:10.1080/23311916.2023.2281062

Cited by 6 publications

(1 citation statement)

References 44 publications

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“…In recent times, numerous researchers have delved into a variety of strategies and diverse lifetime models across various applications. For further insights, please refer to the publications by [20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] and [36].…”

Section: Joint Progressive Type-ii Censoring Schemementioning

confidence: 99%

Point and interval estimation based on joint progressive censoring data from two Rayleigh-Weibull distribution with applications

M Hasaballah,

Samson Balogun,

Bakr

2024

Phys. Scr.

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The exploration of progressively censored data has garnered considerable attention in recent years. This research delves into the joint progressive censoring scheme applied to two populations. It presupposes that the lifespan distribution of items from these populations follows Rayleigh-Weibull distributions, characterized by varying shape and scale parameters. Within the framework of the joint progressive censoring scheme, we investigate maximum likelihood estimators for unknown parameters wherever applicable. Bayesian inferences for these parameters are presented using a Gamma prior. It’s worth noting that deriving Bayes estimators and their associated credible intervals is not feasible, hence we suggest employing the importance sampling technique for computation. To illustrate the methodologies, we analyze real-life data for demonstrative purposes, and Monte Carlo simulations are carried out to compare the performances of all the proposed methods.

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Section: Joint Progressive Type-ii Censoring Schemementioning

confidence: 99%

Point and interval estimation based on joint progressive censoring data from two Rayleigh-Weibull distribution with applications

M Hasaballah,

Samson Balogun,

Bakr

2024

Phys. Scr.

View full text Add to dashboard Cite

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A spherical Z-number multi-attribute group decision making model based on the prospect theory and GLDS method

Wu,

Ma,

Fan

2024

Complex Intell. Syst.

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A Hybrid CNN-TransXNet Approach for Advanced Glomerular Segmentation in Renal Histology Imaging

Liu

2024

Int J Comput Intell Syst

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In the specialized field of renal histology, precise segmentation of glomeruli in microscopic images is crucial for accurate clinical diagnosis and pathological analysis. Facing the challenge of discerning complex visual features, such as shape, texture, and size within these images, we introduce a novel segmentation model that innovatively combines convolutional neural networks (CNNs) with the advanced TransXNet block, specifically tailored for glomerular segmentation. This innovative model is designed to capture the intricate details and broader contextual features within the images, ensuring a comprehensive and precise segmentation process. The model's architecture unfolds in two primary phases: the down-sampling phase, which utilizes CNNs structures within the TransXNet block for meticulous extraction of detailed features, and the up-sampling phase, which employs CNNs deconvolution techniques to restore spatial resolution and enhance macroscopic feature representation. A critical innovation in our model is the implementation of residual connections between these two phases, which facilitate the seamless integration of features and minimize loss of precision during image reconstruction. Experimental results demonstrate a significant improvement in our model’s performance compared to existing medical image segmentation methods. We report enhancements in mean Pixel Accuracy (mPA) and mean Intersection over Union (mIoU), with increases of approximately 3–5% and 3–8%, respectively. Additionally, the segmented outputs exhibit higher subjective visual quality with fewer noise artifacts. These findings suggest that our model offers promising applications in the segmentation of medical microscopic images, marking a significant contribution to the domain.

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A new Bell-exponential model: Properties and applications

Cited by 6 publications

References 44 publications

Point and interval estimation based on joint progressive censoring data from two Rayleigh-Weibull distribution with applications

Point and interval estimation based on joint progressive censoring data from two Rayleigh-Weibull distribution with applications

A spherical Z-number multi-attribute group decision making model based on the prospect theory and GLDS method

A Hybrid CNN-TransXNet Approach for Advanced Glomerular Segmentation in Renal Histology Imaging

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