Results 141 to 150 of about 1,039,315 (343)

Forecasting Maximum Water Level Data for Post Sangkuliman using An Artificial Neural Network Backpropagation Algorithm

JTAM (Jurnal Teori dan Aplikasi Matematika)
Neural Network (NN) is an information processing system that has characteristics similar to biological neural networks. One of the algorithms in NN is Backpropagation Neural Network (BPNN).
Mislan Mislan, Andrea Tri Rian Dani
doaj   +1 more source

Correcting the bias of the Root Mean Squared Error of Approximation under missing data [PDF]

, 2021
Cailey E. Fitzgerald, Ryne Estabrook, Daniel P. Martin, Andreas M. Brandmaier, Timo von Oertzen   +4 more
openalex   +1 more source

root mean square error of cross validation

Citation: 'root mean square error of cross validation' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.10109 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual ...
openaire   +1 more source

Flux‐Regulated Crystallization of Perovskites Using Machine Learning‐Predicted Solvent Evaporation Rates for X‐Ray Detectors

Advanced Functional Materials, EarlyView.
By integrating machine learning into flux‐regulated crystallization (FRC), accurate prediction of solvent evaporation rates in real time, improving crystallization control and reducing crystal growth variability by over threefold, is achieved. This enhances the reproducibility and quality of perovskite single crystals, leading to reproducible ...
Tatiane Pretto, Sergey Dayneko, Antoine Pavesic Junior, Nicholas Sandor, Alexander Hart, Yuki Haruta, Magdalena Bazalova‐Carter, Marcos J. L. Santos, Makhsud I. Saidaminov   +8 more
wiley   +1 more source

A Bayesian vector error corrections model of the U.S. economy [PDF]

This paper presents a small-scale macroeconometric time-series model that can be used to generate short-term forecasts for U.S. output, inflation, and the rate of unemployment.
Tom Stark
core  

Ladder‐Type Benzene‐Perylene Dyes with Efficient Laser Properties in the Near‐IR by Detracting/Activating Low/High Frequency Vibronic Modes

Advanced Functional Materials, EarlyView.
The NNR‐n series of oligomeric nanographenes delivers exceptional emission performance. This work shows that this performance is originated by their ladder‐type structure, which effectively deactivates low‐frequency vibronic modes. This deactivation neglects the main pathway for non‐emissive deactivation, even in the near‐infrared region. The potential
Marcos Díaz‐Fernández, Álex Farrando Pérez, Fernando Gordillo Gámez, Pedro G. Boj, José M. Villalvilla, José A. Quintana, Yanpei Wan, Daniel Aranda, José Manuel Marín‐Beloqui, Jishan Wu, Zebing Zeng, María A. Díaz‐García, Juan Casado   +12 more
wiley   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

Exploiting the Functionality of Cerium Oxide‐Modified Carbon Nanohorns Catalysts Toward Enhanced CO2 Reduction Performance

Advanced Functional Materials, EarlyView.
A cerium oxide‐carbon nanohybrid catalyst is synthesized via two distinct routes and is integrated into H‐type cells and gas diffusion layers (GDLs) to enhance electrochemical performance. Structural variations significantly affect performance, with the solvothermal sample exhibiting higher current densities.
Alessia Pollice, Michele Cacioppo, Miriam Marchi, Miriam Moro, Francesco Paolucci, Marcella Bonchio, Maurizio Prato, Giovanni Valenti, Michele Melchionna, Paolo Fornasiero   +9 more
wiley   +1 more source

Enhanced Switching Performance in Single‐Crystalline PbTiO3 Ferroelectric Memristors for Replicating Synaptic Plasticity

Advanced Functional Materials, EarlyView.
This study demonstrated single‐crystalline PbTiO3‐based memristors with atomically sharp interfaces, well‐ordered lattices, and minimal lattice mismatch. The devices exhibited an ON/OFF ratio exceeding 105, high stability, and rich resistance‐state modulation.
Haining Li, Zhiqiang Liao, Risa Kataoka, Md Sarker Shamim, Takeshi Kijima, Hiroyasu Yamahara, Hitoshi Tabata, Munetoshi Seki   +7 more
wiley   +1 more source