Results 91 to 100 of about 1,351,383 (295)
Deep Underground Science and Engineering, EarlyView.This paper presents temporal and adaptive‐frequency network with MixStyle (TAMNet), a deep time‐series modeling framework for accurate and robust multi‐well oil productivity forecasting. TAMNet integrates transformer and long short‐term memory architectures to capture both short‐ and long‐term temporal dependencies, enhanced by a temporal gate unit ...
Chunxi Yang +6 more
wiley +1 more source
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez +3 more
wiley +1 more source
Splines in convex sets under constraints of two‐sided inequality type in a hyperplane
Mathematical Modelling and Analysis, 2008 The problem of minimization of a smoothing functional under inequality constraints is considered in a hyperplane. The conditions of the existence of a solution are obtained and some properties of this solution are investigated.
Svetlana Asmuss
doaj +1 more source
Smoothing spline Gaussian regression: more scalable computation via efficient approximation
, 2004 Summary. Smoothing splines via the penalized least squares method provide versatile and effective nonparametric models for regression with Gaussian responses. The computation of smoothing splines is generally of the order O(n3), n being the sample size,
Young-Ju Kim, Chong Gu
semanticscholar +1 more source
Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
Energy Science &Engineering, EarlyView.The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
wiley +1 more source
Convergence rate and Bahadur type representation of general smoothing spline M-estimates
, 2010 : This work was motivated by Cox and O’Sullivan (1990) who derived the optimal convergence rates for smoothing spline estimates when the loss function is sufficiently smooth.
Zuofeng Shang
semanticscholar +1 more source
Penalized additive regression for space-time data: a Bayesian perspective [PDF]
, 2003 We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Stefan Lang +5 more
core +1 more source
Charring Behaviour of Mass Timber: A Comparison of Thin Intumescent Coatings and Plasterboard
Fire and Materials, EarlyView.ABSTRACT This study compares the charring behaviour of mass timber under varied heating conditions when protected by either different thin intumescent coating types or fire‐rated plasterboard layers. Bench‐scale fire experiments were conducted using the Heat‐Transfer Rate Inducing System (H‐TRIS).
Stavros Spyridakis +4 more
wiley +1 more source
Technometrics, 2009 With many predictors, choosing an appropriate subset of the covariates is a crucial—and difficult—step in nonparametric regression. We propose a Bayesian nonparametric regression model for curve fitting and variable selection.
B. Reich, C. Storlie, H. Bondell
semanticscholar +1 more source
Arbitrage-Free Smoothing of the Implied Volatility Surface [PDF]
The pricing accuracy and pricing performance of local volatility models crucially depends on absence of arbitrage in the implied volatility surface: an input implied volatility surface that is not arbitrage-free invariably results in negative transition ...
Matthias R. Fengler
core