Results 191 to 200 of about 336,714 (315)

Systematic parameter mapping for Wavelet-Based scatter correction in SPECT: clinical perception versus quantitative metrics. [PDF]

EJNMMI Phys
Oloomi S, Fathabadi A.
europepmc   +1 more source

Performance of different models and regression methods on test data. R-squared and RMSE metrics are used.

Md Nasir (16681462), William B. Weeks (9073647), Shahrzad Gholami (21368533), Anthony Marfin (21368536), Mark Alderson (21368539), Troy Leader (21368542), Brian Taliesin (7146545), Rahul Dodhia (13919428), Juan Lavista Ferres (13254928), Niranjan Bhat (2633452)   +9 more
openalex   +1 more source

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

Prediction of museum visitor numbers RMSE results.

Ziyi Tian (17908289), Xiao Wang (19312), Yan Wang (15435), Jae Ho Lee (493452)   +3 more
openalex   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study. [PDF]

Intensive Care Med Exp
Vakitbilir N, Raj R, Griesdale DEG, Sekhon M, Bernard F, Gallagher C, Thelin EP, Mathieu F, Stein KY, Kramer AH, Aries MJH, Zeiler FA.   +11 more
europepmc   +1 more source

Performance evaluation of ML regression models using RMSE.

Marwah Salman (22593380), David Siddle (7705256), Yuan Gao (159945)   +2 more
openalex   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source

Free-scale quantification of biomass and fucoxanthin in mass culture of <i>Phaeodactylum tricornutum</i> using Raman spectroscopy coupled with machine learning and transfer learning. [PDF]

Food Chem X
Long J, Zou S, Liu W, Ma M, Zhang Q, Chen Y, Chu Y, Guo Z, Ruan Y, Han D, Hu Q.   +10 more
europepmc   +1 more source

Performance Assessment of ARIMA and LSTM Models in Prediction Using Root Mean Square Error (RMSE)

Andiani Andiani, Yoel Simanjuntak, Ninuk Wiliani   +2 more
openalex   +2 more sources