Results 81 to 90 of about 332,624 (268)

NH4 Modelling with ARIMA and LSTM

Jurnal Ilmu Lingkungan
AI-Mining is a prototype designed to detect various environmental gases, including CO2, NH3, NH4, and hydrogen, alongside temperature, pressure, and humidity.
Hanna Arini Parhusip, Suryasatriya Trihandaru, Johanes Dian Kurniawan   +2 more
doaj   +1 more source

Tunable Plasmonic Response of Silver Nanoparticles Entangled in Detonation Nanodiamond Network via Colloidal Self‐Assembly

Advanced Materials Interfaces, EarlyView.
Detonation nanodiamonds form a network that entangles silver nanoparticles into stable nanocomplexes. The structure can fine‐tune and enhance plasmonic absorption through nearfield electromagnetic interactions but prevents silver particle aggregation. The study shows how the arrangement and concentration of particles affect light absorption, offering a
Vendula Hrnčířová, Markéta Šlapal Bařinková, Muhammad Qamar, Kateřina Kolářová, Bohuslav Rezek   +4 more
wiley   +1 more source

Attack RMSE Leaderboard: An Introduction and Case Study

, 2018
In this manuscript, we briefly introduce several tricks to climb the leaderboards which use RMSE for evaluation without exploiting any training data.
openaire   +2 more sources

Ultra‐Improved Interfacial Strength Between Metallic Surface and Polyurethane via Cost‐Effective Anodizing Process

Advanced Materials Interfaces, EarlyView.
SAA significantly enhanced Al/PU bonding, increasing SLSS by up to 920% and fracture energy by 15 100% through optimized micro‐nano porous surfaces. RSM identified the optimal anodizing conditions, while ML confirmed sulfuric acid concentration and roughness as dominant predictors of strength.
Umut Bakhbergen, Sherif Araby, Zhandos Tauanov, Nursultan Turdakyn, Reza Montazami, Fethi Abbassi, Gulnur Kalimuldina   +6 more
wiley   +1 more source

Personalized product recommendation system for e-commerce platforms [PDF]

ITM Web of Conferences
Due to rapid growth in e-commerce, the interest for customized product recommendation systems has grown a lot with high demands for effective models. The attempt is made to explore the development and evaluation of a personalized product recommendation ...
Sameena Shaik, Javali Guntupalli, Srilakshmi Nelavelli, Jhansi Mandadapu, Sk Sajida Sultana   +4 more
doaj   +1 more source

Enhancement of Visual Field Predictions with Pointwise Exponential Regression (PER) and Pointwise Linear Regression (PLR). [PDF]

, 2016
PurposeThe study was conducted to evaluate threshold smoothing algorithms to enhance prediction of the rates of visual field (VF) worsening in glaucoma.MethodsWe studied 798 patients with primary open-angle glaucoma and 6 or more years of follow-up who ...
Abdollahi, Niloufar, Caprioli, Joseph, de Leon, John Mark S, Morales, Esteban, Nouri-Mahdavi, Kouros, Yu, Fei   +5 more
core   +1 more source

New Approaches To Photometric Redshift Prediction Via Gaussian Process Regression In The Sloan Digital Sky Survey

, 2009
Expanding upon the work of Way and Srivastava 2006 we demonstrate how the use of training sets of comparable size continue to make Gaussian process regression (GPR) a competitive approach to that of neural networks and other least-squares fitting methods.
A. N. Srivastava, Abazajian, Abazajian, Abazajian, Adelman-McCarthy, Ball, Bernstein, Blanton, Carliles, Csabai, D'Abrusco, Efron, Eisenstein, Foster, Giavalisco, Golub, Ivezic, Kaczmarczik, Kurtz, L. V. Foster, M. J. Way, Martin, Neal, P. R. Gazis, Rasmussen, Seeger, Skrutskie, Stoughton, Strauss, Suchkov, Sérsic, Wahba, Wang, Wang, Way, Wray, York   +36 more
core   +1 more source

Why Should Ensemble Spread Match the RMSE of the Ensemble Mean?

Journal of Hydrometeorology, 2014
Abstract When evaluating the reliability of an ensemble prediction system, it is common to compare the root-mean-square error of the ensemble mean to the average ensemble spread. While this is indeed good practice, two different and inconsistent methodologies have been used over the last few years in the meteorology and hydrology ...
V. Fortin, M. Abaza, F. Anctil, R. Turcotte   +3 more
openaire   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Statistical analysis for RMSE of 3D space calibration using the DLT

Korean Journal of Sport Biomechanics, 2003
The purpose of this study was to design the method of 3D space calibration to reduce RMSE by statistical analysis when using the DLT algorithm and control frame. Control frame for 3D space calibration was consist of and 162 contort points adhere to it. For calculate of 3D coordination used two methods about 2D coordination on image frame, 2D coordinate
openaire   +2 more sources