Results 141 to 150 of about 176 (168)

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

open access: yesEnergy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif   +5 more
wiley   +1 more source

Similar locomotor patterns across Quarter Horse disciplines inform lameness assessment

open access: yesEquine Veterinary Journal, EarlyView.
Abstract Background Lineage‐based selection is central to the Quarter Horse industry and is often justified by the assumption that morphology determines locomotor function. However, objective evidence linking static conformation to discipline‐specific locomotor behaviour under standardised conditions remains limited.
Renata Farinelli de Siqueira   +4 more
wiley   +1 more source

Illuminating phenotypic drug responses of sarcoma cells to kinase inhibitors by phosphoproteomics. [PDF]

open access: yesMol Syst Biol
Lee CY   +12 more
europepmc   +1 more source

Sufficient Gas and Solvated Ion Transport Assisted Rapid NH3 Detection at Room Temperature Through Bionic Olfactory Fibres

open access: yesExploration, EarlyView.
Bionic olfactory fibres with nanoconfined ionic liquids were developed to mimic human olfactory cilia. Benefiting from sufficient gas transport pathways provided by inter‐fibre interconnected pores and rapid transport of solvated ions in the confined nano spacing, bionic olfactory fibres show excellent sensing performance to NH3 and demonstrate the ...
Hongyang Liu   +11 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly   +2 more
wiley   +1 more source

A New Implementation of Network GARCH Model for Stock Volatility and Co‐Volatility Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Volatility clustering and spillovers are key features of financial time series with many cross‐sectional assets. While network analysis links similar or correlated stocks and helps trace volatility spillovers, contemporary multivariate ARCH‐GARCH formulations struggle to represent structured network dependence and remain parsimonious.
Peiyi Zhou
wiley   +1 more source

Inclusion of Refugees Into National Health Systems: Enablers, Barriers and Lessons From Six Country Case Studies

open access: yesThe International Journal of Health Planning and Management, EarlyView.
ABSTRACT The global refugee population has nearly doubled in the last decade, and many of these populations face chronic displacement, often in neighbouring countries with limited resources. Emergency, short‐term responses are being transitioned to longer term approaches, including a focus on inclusion through coverage in national health systems ...
Sophie Witter   +13 more
wiley   +1 more source

Chronobot: Deep learning guided time-resolved cryo-EM captures molecular choreography of RecA in homology search

open access: yes
Mäeots M   +7 more
europepmc   +1 more source

Molecularly stratified hypothalamic astrocytes are cellular foci for obesity

open access: yes
Harkany T   +9 more
europepmc   +1 more source
Some of the next articles are maybe not open access.

Quadratic Optimal Control of Linear Complementarity Systems: First-Order Necessary Conditions and Numerical Analysis

IEEE Transactions on Automatic Control, 2020
Christophe Prieur, Bernard Brogliato
exaly  

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