Suchergebnisse - data collection and data estimation methodology; computer (progress* OR process*)

Effectual pre-processing with quantization error elimination in pose detector with the aid of image-guided progressive graph convolution network (IGP-GCN) for multi-person pose estimation von Challapalli, Jhansi Rani, Devarakonda, Nagaraju

“… This study focuses upon three phases of pre-processing stages like occlusion elimination, suppression strategy, and heat map methodology to lessen noise within the database …”
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RGB image-based method for phenotyping rust disease progress in pea leaves using R von Osuna-Caballero, Salvador, Olivoto, Tiago, Jiménez-Vaquero, Manuel A., Rubiales, Diego, Rispail, Nicolas

“… This study aimed to develop an automated image analysis pipeline for accurately calculating rust disease progression parameters under controlled conditions, ensuring reliable data collection …”
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Bayesian survival analysis of logistic exponential distribution for adaptive progressive Type-II censored data von Dutta, Subhankar, Dey, Sanku, Kayal, Suchandan

“… To reduce total test time and increase the efficiency of statistical analysis of a life-testing experiment adaptive progressive Type-II censoring scheme has been proposed …”
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On estimation of reliability in a multicomponent stress-strength model for a Kumaraswamy distribution based on progressively censored sample von Kohansal, Akram

“… Based on progressively Type-II censored samples, this paper deals with the estimation of multicomponent stress-strength reliability by assuming the Kumaraswamy distribution …”
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Human pose estimation using deep learning: review, methodologies, progress and future research directions von Kumar, Pranjal, Chauhan, Siddhartha, Awasthi, Lalit Kumar

“… This review focuses on the key aspects of deep learning in the development of both 2D & 3D HPE. It provides detailed information on the variety of databases, performance metrics and human body models incorporated for implementing HPE methodologies …”
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Model-Based Prognostics With Concurrent Damage Progression Processes von Daigle, M. J., Goebel, K.

“… We develop a model-based prognostics methodology that consists of a joint state-parameter estimation problem, in which the state of a system along with parameters describing the damage progression …”
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Bayesian and E-Bayesian Reliability Analysis of Improved Adaptive Type-II Progressive Censored Inverted Lindley Data von Elbatal, Ibrahim, Nassar, Mazen, Ben Ghorbal, Anis, Sabry Gad Diab, Lamiaa, Elshahhat, Ahmed

“… Lately, a novel improved adaptive progressive censored strategy of Type-II was developed that can ensure that the experiment duration does not overextend a specific span …”
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Analysis of progressive type-II censored gamma distribution von Dey, Sanku, Elshahhat, Ahmed, Nassar, Mazen

“… The aim of this study is to describe the both frequentist and Bayesian parametric estimation methods for the gamma distribution using progressive Type II censoring data …”
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Learning and Expectations in Macroeconomics von Evans, George W, Honkapohja, Seppo

“… A crucial challenge for economists is figuring out how people interpret the world and form expectations that will likely influence their economic activity …”
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Bivariate Length-Biased Exponential Distribution under Progressive Type-II Censoring: Incorporating Random Removal and Applications to Industrial and Computer Science Data von Fayomi, Aisha, Almetwally, Ehab M., Qura, Maha E.

“… In this paper, we address the analysis of bivariate lifetime data from a length-biased exponential distribution observed under Type II progressive censoring with random removals, where the number …”
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Transfer learning with convolutional neural networks for cancer survival prediction using gene-expression data von López-García, Guillermo, Jerez, José M., Franco, Leonardo, Veredas, Francisco J.

“… Precision medicine in oncology aims at obtaining data from heterogeneous sources to have a precise estimation of a given patient's state and prognosis …”
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Reliability Estimation under Normal Operating Conditions for Progressively Type-II XLindley Censored Data von Alotaibi, Refah, Nassar, Mazen, Elshahhat, Ahmed

“… In addition to the maximum likelihood estimation, the Bayesian estimation of the model parameters is acquired based on progressively Type-II censored samples …”
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The Process Capability Index of Pareto Model under Progressive Type-II Censoring: Various Bayesian and Bootstrap Algorithms for Asymmetric Data von EL-Sagheer, Rashad M., El-Morshedy, Mahmoud, Al-Essa, Laila A., Alqahtani, Khaled M., Eliwa, Mohamed S.

“… In this paper, Cpy process capability index estimates were generated using two iterative methods and a Bayesian method of estimation based on stepwise controlled type II data from the Pareto model …”
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Regularized Continuous-Time Markov Model via Elastic Net von Huang, Shuang, Hu, Chengcheng, Bell, Melanie L., Billheimer, Dean, Guerra, Stefano, Roe, Denise, Vasquez, Monica M., Bedrick, Edward J.

“… Continuous-time Markov models are commonly used to analyze longitudinal transitions between multiple disease states in panel data, where participants' disease states are only observed at multiple time …”
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Optimum Progressive Data Analysis and Bayesian Inference for Unified Progressive Hybrid INH Censoring with Applications to Diamonds and Gold von Mohammed, Heba S., Abo-Kasem, Osama E., Elshahhat, Ahmed

“… A novel unified progressive hybrid censoring is introduced to combine both progressive and hybrid censoring plans to allow flexible test termination either after a prespecified number of failures or at a fixed time …”
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Statistical Inference on Process Capability Index Cpyk for Inverse Rayleigh Distribution under Progressive Censoring von Karakaya, Kadir, Kınacı, İsmail, Akdoğan, Yunus, Saraçoğlu, Buğra, Kuş, Coşkun

“… In quality engineering, process capability indexes are used to determine the capability of a process …”
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Bayesian Inference and Life Testing Plan for the Weibull Distribution in Presence of Progressive Censoring von Kundu, Debasis

“… This article deals with the Bayesian inference of unknown parameters of the progressively censored Weibull distribution …”
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Statistical Analysis of Type-II Generalized Progressively Hybrid Alpha-PIE Censored Data and Applications in Electronic Tubes and Vinyl Chloride von Elshahhat, Ahmed, Abo-Kasem, Osama E., Mohammed, Heba S.

“… functions, are estimated via maximum likelihood and Bayes estimation methodologies in the presence of the proposed censored data …”
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Statistical Analysis and Applications of Adaptive Progressively Type-II Hybrid Poisson–Exponential Censored Data von Elshahhat, Ahmed, Mohammed, Heba S.

“… In the reliability experiments, an adaptive progressively Type-II hybrid censoring strategy is presented to improve the statistical analysis efficiency and reduce the entire test duration on a life-testing experiment …”
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A discrete-time split-state framework for multi-state modeling with application to describing the course of heart disease von Ding, Ming, Chen, Haiyi, Lin, Feng-Chang

“… We propose a Discrete-Time Split-State Framework that generates a process of substates by conditioning on past disease history and estimates discrete-time transition rates between substates …”
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