Results 1 to 10 of about 417,909 (200)

Empirical modeling of the fine particle fraction for carrier-based pulmonary delivery formulations [PDF]

International Journal of Nanomedicine, 2015
Adam Pacławski,1 Jakub Szlęk,1 Raymond Lau,2 Renata Jachowicz,1 Aleksander Mendyk1 1Department of Pharmaceutical Technology and Biopharmaceutics, Jagiellonian University Medical College, Kraków, Poland; 2School of Chemical and Biomedical ...
Pacławski A, Szlęk J, Lau R, Jachowicz R, Mendyk A   +4 more
doaj   +6 more sources

Three-dimensional relationship between high-order root-mean-square wavefront error, pupil diameter, and aging [PDF]

Journal of The Optical Society of America A-optics Image Science and Vision, 2007
We report root-mean-square (RMS) wavefront error (WFE) for individual aberrations and cumulative highorder (HO) RMS WFE for the normal human eye as a function of age by decade and pupil diameter in 1 mm steps from 3 to 7 mm and determine the ...
Applegate, Raymond A, Donnelly, William J, Koenig, Darren E, Marsack, Jason D, Pesudovs, Konrad   +4 more
core   +2 more sources

Multistage sugarcane yield prediction using machine learning algorithms

Journal of Agrometeorology
Sugarcane is one of the leading commercial crops grown in India. The prevailing weather during the various crop-growth stages significantly impacts sugarcane productivity and the quality of its juice. The objective of this study was to predict the yield
SHANKARAPPA SRIDHARA, SOUMYA B. R., GIRISH R. KASHYAP   +2 more
doaj   +2 more sources

A parallel and efficient transformer deep learning network for continuous estimation of hand kinematics from electromyographic signals [PDF]

Scientific Reports
Surface electromyography (EMG) provides a non-invasive human-machine interaction interface that can promote the coherence of human-machine interaction operations.
Chuang Lin, Xifeng Zhang, Chunxiao Zhao
doaj   +2 more sources

Iterative bicluster-based Bayesian principal component analysis and least squares for missing-value imputation in microarray and RNA-sequencing data

Mathematical Biosciences and Engineering, 2022
Microarray and RNA-sequencing (RNA-seq) techniques each produce gene expression data that can be expressed as a matrix that often contains missing values.
Saskya Mary Soemartojo, Titin Siswantining , Yoel Fernando , Devvi Sarwinda, Herley Shaori Al-Ash , Sarah Syarofina, Noval Saputra   +6 more
doaj   +1 more source

Numerical daemons of hydrological models are summoned by extreme precipitation [PDF]

Hydrology and Earth System Sciences, 2021
Hydrological models are usually systems of nonlinear differential equations for which no analytical solutions exist and thus rely on numerical solutions.
P. T. La Follette, P. T. La Follette, A. J. Teuling, N. Addor, M. Clark, K. Jansen, L. A. Melsen   +6 more
doaj   +1 more source

Development of the Statistical Errors Raster Toolbox with Six Automated Models for Raster Analysis in GIS Environments

Remote Sensing, 2022
The Statistical Errors Raster Toolbox includes models of the most popular error metrics in the interdisciplinary literature, namely, root mean square error (RMSE), normalized root mean square error (NRMSE), mean bias error (MBE), normalized mean bias ...
Stavroula Dimitriadou, Konstantinos G. Nikolakopoulos   +1 more
doaj   +1 more source

Modeling of phenological stages and yield parameters of faba bean in the East of Golestan province conditions [PDF]

پژوهش‌های حبوبات ایران, 2020
IntroductionBean is now considered as one of the most important products in the Middle East, Africa, China and parts of Europe and Australia in human and animal nutrition (Turpin et al., 2002). Bean is a suitable herb in rotation with cereals. Because it
Ali Rahemi Karizki, SeyedHossein Hosseini   +1 more
doaj   +1 more source

Comparison of adaptive optical scanning holography based on new evaluation methods

Scientific Reports, 2023
Adaptive Optical Scanning Holography (AOSH) represents a powerful technique that employs an adaptive approach to selectively omit certain lines within holograms, guided by the utilization of Normalized-Mean-Error (NME) as a predictive measure.
Jilu Duan, Yaping Zhang, Yongwei Yao, Qingyang Fu, Bing Zhang, P. W. M. Tsang, Ting-Chung Poon   +6 more
doaj   +1 more source

Prediction of Energy Production Level in Large PV Plants through AUTO-Encoder Based Neural-Network (AUTO-NN) with Restricted Boltzmann Feature Extraction

Future Internet, 2023
In general, reliable PV generation prediction is required to increase complete control quality and avoid potential damage. Accurate forecasting of direct solar radiation trends in PV power production could limit the influence of uncertainties on ...
Ganapathy Ramesh, Jaganathan Logeshwaran, Thangavel Kiruthiga, Jaime Lloret   +3 more
doaj   +1 more source