Results 91 to 100 of about 114,884 (315)

How wrong were we? The accuracy of the Fraser of Allander Institute's forecasts of the Scottish economy since 2000 [PDF]

, 2011
The Fraser of Allander Institute regularly forecasts the annual growth of the Scottish economy. This paper measures the accuracy of these forecasts. It contrasts official measures of the growth performance of the Scottish economy and FAI forecasts for ...
Allan, Grant
core  

Mechanical and oxygen barrier properties of LDPE/MMT/MAPE and LDPE/MMT/EVA nanocomposite films: A comparison study

, 2018
Enhanced mechanical and barrier properties are of special interest in food packaging industries, in which uniform dispersion of nanoparticles in polymers confers considerable improvement in these properties.
K. Majeed, R. Arjmandi, Azman Hassan
semanticscholar   +1 more source

A real‐world data‐driven approach to optimizing enoxaparin dosing in burn patients

British Journal of Clinical Pharmacology, EarlyView.
Aim Enoxaparin dosing in burn patients is challenging due to physiological changes affecting absorption, distribution and clearance. The objectives of this study are to develop a population pharmacokinetic (PK) model for enoxaparin in burn patients, evaluate target attainment with current equation‐based (EQ) dosing and propose an optimized dosing ...
Babajide Shenkoya, Venkata Yellepeddi, Ann Marie B. Prazak, Mathangi Gopalakrishnan   +3 more
wiley   +1 more source

DDP-GCN: Multi-Graph Convolutional Network for Spatiotemporal Traffic Forecasting

, 2020
Traffic speed forecasting is one of the core problems in Intelligent Transportation Systems. For a more accurate prediction, recent studies started using not only the temporal speed patterns but also the spatial information on the road network through ...
Lee, Kyungeun, Rhee, Wonjong
core  

Temperature field forecast in concrete dam with the use of ARIMA models and the finite element method [PDF]

, 2016
This article describes a forecasting method, with the application of statistical models Auto-Regressive Integrated Moving Average (ARIMA) and a heat conduction model to forecast the temperature field in a buttress block of Itaipu dam. Monthly temperature
Aracayo, Luis Antonio Sucapuca, Côrrea, Jairo Marlon, Faria, Alvaro, Garcia, Everton Luís, Hickman, Tásia, Rodrigues, Samuel Bellido, Teixeira Jr., Luiz Albino   +6 more
core  

Forecasting Player Behavioral Data and Simulating in-Game Events

, 2017
Understanding player behavior is fundamental in game data science. Video games evolve as players interact with the game, so being able to foresee player experience would help to ensure a successful game development. In particular, game developers need to
A Natekin, AJ Fox, C Bauckhage, Colin Chen, DH Ackley, G Ridgeway, G Schwarz, G Zhang, GE Box, GE Hinton, H Akaike, JG Cragg, JG Gooijer De, JH Friedman, KD Lawrence, L Deng, L Dwyer, M Gilliland, M Längkvist, MS El-Nasr, N Srivastava, NE Breslow, PH Eilers, PJ Brockwell, RJ Hyndman, S Asmussen, S Hochreiter, S Makridakis, SN Wood, SN Wood, SN Wood, T Hastie, T Zhang, TJ Hastie, Y Bengio   +34 more
core   +1 more source

Applying Machine Learning Methods to Laser Acceleration of Protons: Synthetic Data for Exploring the High Repetition Rate Regime

Contributions to Plasma Physics, EarlyView.
ABSTRACT Advances in ultra‐intense laser technology have increased repetition rates and average power for chirped‐pulse laser systems, which offer a promising solution for many applications including energetic proton sources. An important challenge is the need to optimize and control the proton source by varying some of the many degrees of freedom ...
John J. Felice, Ronak Desai, Nathaniel Tamminga, Joseph R. Smith, Alona Kryshchenko, Chris Orban, Michael L. Dexter, Anil K. Patnaik   +7 more
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

Deep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang, Maohui Wang, Ning Wang, Yixin Shen, Xuzhen He   +4 more
wiley   +1 more source

Dynamic tensile strength and fracture evolution of characteristic shale with bedding and hole using linear regression theory

Deep Underground Science and Engineering, EarlyView.
The spiral conical perforations generated during methane in situ explosion fracturing operations lead to tensile fracture propagation in shale reservoirs being governed by the combined effects of impact pressure, bedding, and aperture under explosive loading. Using multiple regression analysis and digital image correlation technology, the mechanisms of
Yabo Chai, Ning Luo, Jianan Zhou, Haohao Zhang, Penglong Li, Yu Wang, Cheng Zhai, Tianran Ma   +7 more
wiley   +1 more source

Estudio de factibilidad para la creación de una microempresa productora y comercializadora de salsas gourmet [PDF]

, 2016
El presente trabajo se desarrolló a partir de una idea de negocio en donde se aplicó diferentes conceptos con el fin de establecer si es posible generar un rendimiento económico que mitigue los riesgos de una inversión. La información recopilada pretende
Ramírez Céspedes, John Alberto, Taborda Mape, Estefania   +1 more
core