Results 51 to 60 of about 46,519 (215)

Bayesian Neural Networks with Regularization for Sparse Zero-Inflated Data Modeling

Information
Zero inflation is pervasive across text mining, event log, and sensor analytics, and it often degrades the predictive performance of analytical models. Classical approaches, most notably the zero-inflated Poisson (ZIP) and zero-inflated negative binomial
Sunghae Jun
doaj   +1 more source

A Poisson-Gamma Model for Zero Inflated Rainfall Data

Journal of Probability and Statistics, 2018
Rainfall modeling is significant for prediction and forecasting purposes in agriculture, weather derivatives, hydrology, and risk and disaster preparedness.
Nelson Christopher Dzupire, Philip Ngare, Leo Odongo   +2 more
doaj   +1 more source

Nitride MXenes Beyond Carbides: Bridging the Gap Between Computational Prediction and Experimental Realization

Advanced Functional Materials, EarlyView.
Nitride MXenes remain constrained by a persistent gap between computational prediction and experimental realization. This Review identifies the thermodynamic, kinetic, and chemical barriers limiting their synthesis, critically evaluates emerging fabrication routes, and proposes a multidimensional computational‐experimental framework to accelerate the ...
Naresh Varnakavi, Masoud Soroush
wiley   +1 more source

Bayesian Variable Selection for Zero-inflated Longitudinal Count Data

Revstat Statistical Journal
In this paper, we consider Bayesian variable selection in the special cases of the zero-inflated power series model, viz., zero-inflated Poisson and negative binomial models for zero-inflated longitudinal count data.
Nawar Alsalim, Taban Baghfalaki
doaj   +1 more source

Analysis of the Railway Accident-Related Damages in South Korea

Applied Sciences, 2020
Railway accidents are critical issues characterized by a large number of injuries and fatalities per accident due to massive public transport systems. This study proposes a new approach for evaluating the damages resulting from railway accidents using ...
Man Sik Park, Jin Ki Eom, Jungsoon Choi, Tae-Young Heo   +3 more
doaj   +1 more source

Defect‐Mediated Inelastic Light Scattering by Infrared Phonons in Hexagonal Boron Nitride

Advanced Functional Materials, EarlyView.
Optically active defects in hexagonal boron nitride enable inelastic stimulated light scattering mediated by infrared‐active phonons, relaxing conventional Raman selection rules. Defect engineering enhances the Stokes‐conversion process and activates both TO‐ and LO‐phonon scattering channels.
Prabhdeep Singh, Bharti Garg, Maximilian Black, Masoud Taleb, Nahid Talebi   +4 more
wiley   +1 more source

Patent Keyword Analysis Using Bayesian Zero-Inflated Model and Text Mining

Stats
Patent keyword analysis is used to analyze the technology keywords extracted from collected patent documents for specific technological fields. Thus, various methods related to this type of analysis have been researched in the industrial engineering ...
Sunghae Jun
doaj   +1 more source

Pressure‐Assisted Drug Delivery Using High‐Pressure Balloon Platform Improves Vascular Drug Penetration and Anti‐Restenotic Effects

Advanced Healthcare Materials, EarlyView.
A dual‐layer high‐pressure drug‐coated balloon (HP@DCB) increased balloon‐wall contact and promoted deeper paclitaxel (PTX) penetration than a conventional noncompliant DCB. In in vivo study, HP@DCB treatment improved luminal patency and reduced neointimal hyperplasia, supporting pressure‐assisted drug delivery as a promising strategy for enhancing the
Seung Jin Eo, So Yun Lim, Dong‐Sung Won, Ji Won Kim, Yubeen Park, Song Hee Kim, Hyemin Lee, Jung‐Min Ahn, Jun‐Kyu Park, Do‐Yoon Kang, Jung‐Hoon Park   +10 more
wiley   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Simulation Study of Bayesian Zero Inflated Poisson Regression

Cauchy: Jurnal Matematika Murni dan Aplikasi
Bayesian merupakan salah satu metode estimasi parameter yang dapat diaplikasikan pada ukuran sampel yang kecil. Zero Inflated Poisson merupakan salah satu metode untuk menganalisis data Poisson yang mengalami overdispersion.
Candra Rezzing Weni Utomo, Achmad Efendi, Ni Wayan S. Wardhani   +2 more
doaj   +1 more source