Results 51 to 60 of about 54,215,730 (336)

CASA: An Architecture to Support Complex Assessment Scenarios

IEEE Access, 2020
The evaluation or assessment of student performance and knowledge is a central element of most instructional design models, as it provides the information required to take remediation actions and improve the learning process.
Mikel Villamane, Ainhoa Alvarez, Mikel Larranaga   +2 more
doaj   +1 more source

Asteroid Models from Multiple Data Sources

, 2015
In the past decade, hundreds of asteroid shape models have been derived using the lightcurve inversion method. At the same time, a new framework of 3-D shape modeling based on the combined analysis of widely different data sources such as optical ...
Carry, B., Delbo, M., Durech, J., Kaasalainen, M., Viikinkoski, M.   +4 more
core   +1 more source

A Theoretical Foundation for Count Data Models [PDF]

, 1993
The paper develops a theoretical foundation for using count data models in travel cost analysis. Two micro models are developed: a restricted choice model and a repeated discrete choice model. We show that both models lead to identical welfare measures.
Daniel Hellerstein, Robert Mendelsohn, Daniel Hellerstein, Robert Mendelsohn   +3 more
core   +8 more sources

Towards a new generation of agricultural system data, models and knowledge products: Design and improvement

Agricultural Systems, 2017
This paper presents ideas for a new generation of agricultural system models that could meet the needs of a growing community of end-users exemplified by a set of Use Cases.
J. Antle, B. Basso, Richard T Conant, Charles J. Godfray, James W. Jones, M. Herrero, R. Howitt, B. Keating, R. Muñoz‐Carpena, C. Rosenzweig, P. Tittonell, T. Wheeler   +11 more
semanticscholar   +1 more source

TimeGPT’s Potential in Cryptocurrency Forecasting: Efficiency, Accuracy, and Economic Value

Forecasting
Accurate and efficient cryptocurrency price prediction is vital for investors in the volatile crypto market. This study comprehensively evaluates nine models—including baseline, zero-shot, and deep learning architectures—on 21 major cryptocurrencies ...
Minxing Wang, Pavel Braslavski, Dmitry I. Ignatov   +2 more
doaj   +1 more source

Cosmological Models and Latest Observational Data

, 2009
In this note, we consider the observational constraints on some cosmological models by using the 307 Union type Ia supernovae (SNIa), the 32 calibrated Gamma-Ray Bursts (GRBs) at $z>1.4$, the updated shift parameter $R$ from WMAP 5-year data (WMAP5), and
A. Lue, B. Zhang, B.E. Schaefer, C. Deffayet, C. Deffayet, D.F. Mota, D.J. Eisenstein, E. Di Pietro, E.V. Linder, E.V. Linder, G. Ghirlanda, G.R. Dvali, H. Wei, H. Wei, H. Wei, H. Wei, H. Wei, H. Wei, J.R. Bond, L. Perivolaropoulos, M. Chevallier, M. Manera, M. Tegmark, M. Tegmark, M. Tegmark, N. Liang, P. Meszaros, R. Lazkoz, S. Nesseris, S. Nesseris, S.E. Woosley, U. Seljak, Y. Kodama, Y. Wang   +33 more
core   +1 more source

The Application of Mobile Sensing to Detect CO and NO₂ Emission Spikes in Polluted Cities

IEEE Access, 2023
Carbon monoxide (CO) and Nitrogen dioxide (NO2) are major air pollutants that have the potential to affect human health adversely. There is a lack of useful information regarding the spatial distribution and temporal variability of CO and NO2 emissions ...
Spanddhana Sara, Andrew Rebeiro-Hargrave, Ayu Parmar, Pak Lun Fung, Ishan Patwardhan, Samu Varjonen, C. Rajashekar Reddy, Sachin Chaudhari, Sasu Tarkoma   +8 more
doaj   +1 more source

Future supernovae data and quintessence models

, 2003
The possibility to unambiguously determine the equation-of-state of the cosmic dark energy with existing and future supernovae data is investigated. We consider four evolution laws for this equation-of-state corresponding to four quintessential models, i.
E. D. Pietro, Frieman, J.-F. Claeskens, Maor, Saini, Weinberg, Weller   +6 more
core   +2 more sources

Robust Estimation for Linear Panel Data Models

, 2020
In different fields of applications including, but not limited to, behavioral, environmental, medical sciences and econometrics, the use of panel data regression models has become increasingly popular as a general framework for making meaningful ...
Agostinelli C, Baltagi BH, Basu A, Bramati MC, Cameron AC, Diggle PJ, Greene WH, Hill RC, Jirata MT, Kennedy P, Namur VV, Wooldridge JM   +11 more
core   +2 more sources

What Drives Multi-Chain Crypto Forecasting: Model Choice, Feature Selection, and Transferability

Mathematics
Increasingly shaped by heterogeneous on-chain activity rather than a single shared market process, this study investigates 7-day-ahead forecasting using 147 market and on-chain indicators across eight major blockchain ecosystems from October 2023 to ...
Mingxing Wang, Yufeng Xiao, Pavel Braslavski, Dmitry I. Ignatov   +3 more
doaj   +1 more source