Results 241 to 250 of about 1,208,308 (295)

Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models. [PDF]

Sci Rep
Sah S, Haldar D, Singh RN, Das B, Nain AS.   +4 more
europepmc   +1 more source

Improving chemical reaction yield prediction using pre-trained graph neural networks. [PDF]

J Cheminform
Han J, Kwon Y, Choi YS, Kang S.
europepmc   +1 more source

High-Throughput Yield Prediction of Diallele Crossed Sugar Beet in a Breeding Field Using UAV-Derived Growth Dynamics. [PDF]

Plant Phenomics
Taguchi K, Guo W, Burridge J, Ito A, Njehia NS, Matsuhira H, Usui Y, Hirafuji M.   +7 more
europepmc   +1 more source

Enhancing Generic Reaction Yield Prediction through Reaction Condition-Based Contrastive Learning. [PDF]

Research (Wash D C)
Yin X, Hsieh CY, Wang X, Wu Z, Ye Q, Bao H, Deng Y, Chen H, Luo P, Liu H, Hou T, Yao X.   +11 more
europepmc   +1 more source

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Predicting Yields for Predicting Returns

SSRN Electronic Journal, 2012
The ability of forward rates to forecast bond risk premia changes systematically with economic conditions and the level of yields. Two readily observable factors capturing, respectively, long-term yield convergence implied by monetary policy and flight-to-safety episodes substantially improve the fit in the forecasting regression of future bond returns.
Michael Markovich, Alberto Plazzi
openaire   +1 more source

Predicting Reaction Yields via Supervised Learning

Accounts of Chemical Research, 2021
Numerous disciplines, such as image recognition and language translation, have been revolutionized by using machine learning (ML) to leverage big data. In organic synthesis, providing accurate chemical reactivity predictions with supervised ML could assist chemists with reaction prediction, optimization, and mechanistic interrogation.To apply ...
Andrzej M. Żurański, Jesus I. Martinez Alvarado, Benjamin J. Shields, Abigail G. Doyle   +3 more
openaire   +2 more sources

Prediction of Sediment Yield

Journal of Irrigation and Drainage Engineering, 1994
The prediction of sediment yield from catchments is necessary for studies of reservoir sedimentation, morphologic modeling, and soil‐conservation planning. Though records on sediment yield are generally not available, methods that can be used to predict sediment yield from other commonly available hydrologic data, are available in the literature.
U. C. Kothyari, A. K. Tiwari, Ranvir Singh   +2 more
openaire   +1 more source

Liquidity Yield and Exchange Rate Predictability

SSRN Electronic Journal, 2020
In this paper, we extend the Taylor rule model of exchange rate determination by incorporating the liquidity yield on government bonds and investigate exchange rate predictability. We find that the liquidity yield on government bonds delivers additional predictive power to future exchange rate movements beyond the model with Taylor rule fundamentals ...
Shiu-Sheng Chen, Yu-Hsi Chou
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Integrated circuit yield prediction

Proceedings of International Conference on Microelectronics, 2002
A hierarchical prediction of the integrated circuit yield is carried out by in-line measurements of the test chip yields and extraction of the integrated circuit critical areas associated with the corresponding yield loss mechanisms. A local layout extraction approach has been applied for a hierarchical extraction of the integrated circuit critical ...
Z. Stamenkovic, S. Mitrovic
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Predicting Well Yields —

Groundwater, 1967
ABSTRACT Two case histories are presented which illustrate that by analyzing drill cuttings or bailed samples, by knowing total depth of a test hole and position of the static water level, and by studying the driller's log, not only can a well's yield be predicted—but also drawdown may be predicted for any well in advance of a pumping
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