Results 181 to 190 of about 52,033 (260)

Hybrid framework for robust runoff forecasting via decomposition and machine learning. [PDF]

Sci Rep
Wang WC, Zhang XT, Zeng QQ, Ren HZ, Xu DM, Ma Q.   +5 more
europepmc   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Modeling the seasonal epidemic of human brucellosis in China: A comparative time series analysis. [PDF]

PLoS One
Jiang Y, Zhao J, Long J, Deng P, Qin S, Zhang Y.   +5 more
europepmc   +1 more source

Beyond hydrogen: Process design of a biogas steam reformer for Fischer–Tropsch synthesis

The Canadian Journal of Chemical Engineering, EarlyView.
The effect of pressure and steam to carbon ratio on carbon conversion. Abstract We present an analysis of a pilot‐scale multi‐tubular biogas steam reforming reactor, part of a sustainable aviation fuel (SAF) development project in Brazil. The novelty of this work is the application of a new, validated power law kinetic model, specifically developed for
Rafael Belo Duarte, Rafael Dei Tós Barreto, João Lourenço Castagnari Willimann Pimenta, Luiz Mario de Matos Jorge   +3 more
wiley   +1 more source

A machine learning-coupled APSIM model pipeline for projected oil palm yield in Surat Thani, Thailand. [PDF]

PLoS One
Jantaraprasit N, Promchote P, Wang SS, Daengnui S, Motlagh SK, de Lima Moraes AG, França L, Yoon JH, Phumichai C, Kittipadakul P.   +9 more
europepmc   +1 more source

On subset least squares estimation and prediction in vector autoregressive models with exogenous variables

Canadian Journal of Statistics, EarlyView.
Abstract We establish the consistency and the asymptotic distribution of the least squares estimators of the coefficients of a subset vector autoregressive process with exogenous variables (VARX). Using a martingale central limit theorem, we derive the asymptotic normal distribution of the estimators. Diagnostic checking is discussed using kernel‐based
Pierre Duchesne, Thanh‐Liem Huynh, Mylène Oscar   +2 more
wiley   +1 more source

Predicting Emergency Department Patient Arrivals at Hospitals Using Machine Learning Techniques. [PDF]

Healthcare (Basel)
Alenezi AM, Sameh M, Aljohani M, Alharbi H.   +3 more
europepmc   +1 more source

A partial envelope approach for modelling multivariate spatial‐temporal data

Canadian Journal of Statistics, EarlyView.
Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja, Wenbo Wu, Victor De Oliveira, Keying Ye   +3 more
wiley   +1 more source

LTiT: A Deep Learning Model for Subway Section Passenger Flow Prediction Based on LSTM-TSSA-iTransformer. [PDF]

Sensors (Basel)
Liu J, Chen Y, Li Y, Yu F.
europepmc   +1 more source

Reducing Exposure Before Birth: An Interrupted Time Series Study of Prenatal Exposure to Fetotoxic Medications Under Risk Management Plans in Canada

Clinical Pharmacology &Therapeutics, EarlyView.
Canada's 2009 risk management plan (RMP) framework has not been evaluated for prenatal exposure impact. Conversely, widely used drugs such as nonsteroidal anti‐inflammatory drugs (NSAIDs) lack RMPs. We assessed first‐trimester exposure to RMP‐regulated medications following regulatory interventions and to NSAIDs following safety publications.
Nahiyan Saiyara Khan, Odile Sheehy, Lisiane Freitas Leal, Vanina Tchuente, Anick Bérard   +4 more
wiley   +1 more source