Results 91 to 100 of about 344,945 (269)

Modeling Zero-Inflated Poisson Invers Gaussian Regression Bayesian Approach

JTAM (Jurnal Teori dan Aplikasi Matematika)
Deaths due to dengue hemorrhagic fever (DHF) remains one of the most pressing public health issues in Indonesia, especially in urban areas such as Semarang City, which has a high population density and diverse environmental conditions that potentially ...
Berliana Jannah, Ni Wayan Surya Wardhani, Eni Sumarminingsih   +2 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Bayesian Logistic Regression for Inhomogeneous Poisson Point Process: A Case Study of Post-Harvest Facilities in Sidenreng Rappang

JTAM (Jurnal Teori dan Aplikasi Matematika)
Understanding the spatial distribution of post-harvest infrastructure is crucial for improving the efficiency and resilience of agricultural supply chains, particularly in major food-producing regions.
Ahmad Husain, Marwan Sam, Sri Rezki Wahdania Jamaluddin   +2 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

A Bayesian Structural Causal Modeling Framework for Analyzing Childhood Stunting Factors

JTAM (Jurnal Teori dan Aplikasi Matematika)
This quantitative study investigates the causal determinants of childhood stunting using a structured questionnaire as the primary research instrument. The analysis applies Bayesian path modeling to examine how Economic Level influences Child Nutritional
Celia Sianipar, Adji Achmad Rinaldo Fernandes, Solimun Solimun, Septi Nafisa Ulluya Zahra, Fachira Haneinanda Junianto   +4 more
doaj   +1 more source

Indonesian-language version of general self-efficacy scale-12 using Bayesian confirmatory factor analysis: A construct validity testing

Jurnal Penelitian dan Evaluasi Pendidikan, 2019
The General Self-Efficacy Scale 12 (GSES-12) is a brief measure for assessing self-efficacy. This study aimed to revise an Indonesian language version of the GSES-12 that was translated and adopted from previous research.
Muhammad Dwirifqi Kharisma Putra, Wardani Rahayu, Jahja Umar   +2 more
doaj   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Bridge Pier Displacement Prediction and Control in Subway Tunnel Construction [PDF]

Journal of Engineering, Project, and Production Management
As the scale of underground rail transit construction in urban areas continues to expand, the tunnel construction environment has become progressively more complex. In recent years, an emerging artificial intelligence (AI) method in the civil engineering
Zhaozhao Huang, Jingwen Wang
doaj   +1 more source