Results 111 to 120 of about 914,879 (290)

Boosting the accuracy of hedonic pricing models [PDF]

Hedonic pricing models attempt to model a relationship between object attributes andthe object's price. Traditional hedonic pricing models are often parametric models that sufferfrom misspecification.
Kagie, M., Potharst, R., Wezel, M.C. van
core  

Gradient Boosting Neural Networks

, 2021
Umjetne neuronske mreže izgrađene pomoću algoritma podizanja gradijenta Princip izgradnje ansambala neuronskih mreža pomoću algoritma podizanja gradijenta i usporedba performansi takvih rješenja s postojećim rješenjima gradijentno podignutih stabala ...
Glavinović, Ivan
core  

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

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

Boosting Estimation of RBF Neural Networks for Dependent Data [PDF]

This paper develops theoretical results for the estimation of radial basis function neural network specifications, for dependent data, that do not require iterative estimation techniques.
George Kapetanios, Andrew P. Blake
core  

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

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

Advanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti, Sergio Martínez‐Saiz, Morena Cervino, Edoardo Stanzani, Sandra Jenatsch, Qingsen Zeng, Joo Sung Kim, Dong‐Hyeok Kim, Eojin Yoon, Tae‐Woo Lee, Daniel Tordera, Henk J. Bolink   +11 more
wiley   +1 more source

n‐Type Polymer Radio Frequency Rectifiers Operating at 18.5 GHz

Advanced Materials, EarlyView.
Combining an n‐doped polymer semiconductor with wafer‐scale asymmetric planar electrodes featuring work function‐engineered contacts yields radio‐frequency diodes and rectifying circuits operating at up to 18.5 GHz. The devices combine scalable manufacturing with an operating frequency previously unattainable by large‐area organic electronics ...
Lazaros Panagiotidis, Filip Aniés, Yiyang Yu, Mohammed Ghadiyali, Hendrik Faber, Zhanibek Bizak, Youssef Kabri, Pavlos Tzourmpakis, Suman Mandal, Linqu Luo, Temur Maksudov, Mohamad Insan Nugraha, Harold F. Mazo‐Mantilla, Patrice Vanelle, Julie Broggi, Khaled N. Salama, Udo Schwingenschlögl, Martin Heeney, Atif Shamim, Thomas D. Anthopoulos   +19 more
wiley   +1 more source

Prognostication of Weather Patterns using Meteorological Data and ML Techniques

EAI Endorsed Transactions on Energy Web
In the field of modern weather prediction, the accurate classification is essential, impacting critical sectors such as agriculture, aviation, and water resource management.
Saksham Mathur, Sanjeev Kumar, Tanupriya Choudhury   +2 more
doaj   +1 more source

Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression [PDF]

, 2009
Ordinary linear and generalized linear regression models relate the mean of a response variable to a linear combination of covariate effects and, as a consequence, focus on average properties of the response.
Kneib, Thomas, Hothorn, Torsten, Fenske, Nora   +2 more
core   +1 more source