Results 121 to 130 of about 12,148 (269)

PMC19 EVALUATING AN ONLINE INCREMENTAL COST-EFFECTIVENESS CALCULATOR STRUCTURED AS A DECISION ANALYTIC TREE THAT IMPLEMENTS MONTE CARLO SIMULATIONS OF KEY VARIABLES

, 2009
WF McGhan, VJ Willey, AM Peterson, AA Manke, Patel Dd, MR Ajmera, Patel Tb   +6 more
openalex   +1 more source

The Haber Bosch Catalyst from Solid state Chemistry to Mesotechnology

Advanced Energy Materials, EarlyView.
A comprehensive, multi‐scale, multi‐modal study of the structural diversity of a technical multi‐promoted Haber Bosch catalyst for ammonia synthesis is provided. The different contributions of ammonia Fe are revealed and the presence of cement phases that have yet not been incorporated into discussions on the function of this catalyst system is shown ...
Kassiogé Dembélé, Jihao Wang, Maxime Boniface, Jan Folke, Luis Sandoval Diaz, Frank Girgsdies, Adnan Hammud, David Kordus, Gregor Koch, Zahra Gheisari, Raoul Blume, Wulyu Jiang, Axel Knop‐Gericke, Rene Eckert, Stephan Reitmeier, Andreas Reitzmann, Robert Schlögl, Beatriz Roldan Cuenya, Janis Timoshenko, Holger Ruland, Thomas Lunkenbein   +20 more
wiley   +1 more source

Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning

Advanced Energy Materials, EarlyView.
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela, G. Tosato, M. Ahmad, M. Wieler, A. Koeppe, B. Nestler, D. Schneider   +6 more
wiley   +1 more source

A Detailed Comprehensive Role of Digital Technologies in Green Finance Initiative for Net‐Zero Energy Transition

Advanced Energy and Sustainability Research, EarlyView.
This study aims to provide actionable recommendations for leveraging digital innovation for the achievement of scalable, equitable, and transparent Net Zero Energy Transition by offering actionable recommendations. As a result of this comprehensive analysis, the review highlights the critical interplay between digital technologies and GF as vital ...
Furkan Ahmad, Ameni Boumaiza, Antonio Sanfilippo, Luluwah Al‐Fagih   +3 more
wiley   +1 more source

GBDT-IL: Incremental Learning of Gradient Boosting Decision Trees to Detect Botnets in Internet of Things [PDF]

Ruidong Chen, Tianci Dai, Yanfeng Zhang, Yukun Zhu, Xin Liu, Erfan Zhao   +5 more
openalex   +1 more source

Performance Rate Analysis in Photovoltaic Solar Plants by Machine Learning

Advanced Energy and Sustainability Research, EarlyView.
Thermal imaging and deep learning are combined to detect faults in photovoltaic panels inspected by autonomous vehicles. A robust pipeline classifies panel defects from aerial thermograms using a convolutional neural network, supporting both real‐time and offline analysis.
Alba Muñoz del Rio, Isaac Segovia Ramírez, Fausto Pedro García Márquez   +2 more
wiley   +1 more source

Use of Decision Trees and Attributional Rules in Incremental Learning of an Intrusion Detection Model

, 2014
Abdurrahman A. Nasr, Mohamed Ezz, Mohamed Z. Abdulmageed   +2 more
openalex   +1 more source

Supply chain risk in grain trading: Inventories as real options for shipping grain

Agribusiness, EarlyView.
Abstract Integrating trading and logistics is an important challenge in commodity trading. Trading and logistics are strategic decisions and are integral to most commodities including grain shipping by rail, in addition to other modes (barges, ocean shipping). There are substantial risks, such as the ordering and placement of rail cars.
William W. Wilson, Jesse Klebe
wiley   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Redefining ventilator-associated pneumonia treatment: a novel economic analysis of tobramycin and colistin's cost-effectiveness. [PDF]

BMC Pulm Med
Buendía JA, Buendia Sánchez JA, Guerrero Patino D.   +2 more
europepmc   +1 more source