Results 161 to 170 of about 145,010 (267)
ABSTRACT In this paper, we propose a new test for the detection of a change in a non‐linear (auto‐)regressive time series as well as a corresponding estimator for the unknown time point of the change. To this end, we consider an at‐most‐one‐change model and approximate the unknown (auto‐)regression function by a neural network with one hidden layer. It
Claudia Kirch, Stefanie Schwaar
wiley +1 more source
Correction: In vitro differentiation of the hypothalamic KNDy neuron, a master regulator for reproduction, from mouse embryonic stem cells. [PDF]
Miyake N +17 more
europepmc +1 more source
Online Detection of Forecast Model Inadequacies Using Forecast Errors
ABSTRACT In many organizations, accurate forecasts are essential for making informed decisions in a variety of applications, from inventory management to staffing optimization. Whatever forecasting model is used, changes in the underlying process can lead to inaccurate forecasts, which will be damaging to decision‐making.
Thomas Grundy +2 more
wiley +1 more source
Leveraging machine learning for accurate forecasting of pulmonary tuberculosis epidemics in a coastal city in China. [PDF]
Yang J, Pan J, Chen J, Xu Y, Zhang X.
europepmc +1 more source
ABSTRACT Temperature is an important factor affecting daily life, and accurate multi‐step temperature prediction can provide essential support for weather prediction, energy management, agricultural planning, and disaster mitigation. However, as the prediction horizon extends, the nonlinear nature of temperature data becomes more prominent, making it ...
Baohe Liu +4 more
wiley +1 more source
Short-term forecasting and impact analysis of COVID-19 and the stock market in Morocco using ARIMA. [PDF]
Aboagye N, Nadarajah S.
europepmc +1 more source
ABSTRACT A key challenge for the genetic improvement of canola (Brassica napus), one of the world's most important oilseeds, is the limited natural variation for commercially important traits. The creation of new variation is hindered by the lack of functional knowledge about genes controlling these traits.
Morgan W. Kirzinger +30 more
wiley +1 more source
ARIMA-based forecasting of cerebral physiologic signals in acute traumatic brain injury: a CAnadian high-resolution TBI (CAHR-TBI) cohort study. [PDF]
Vakitbilir N +11 more
europepmc +1 more source
Abstract Background Extranodal marginal zone lymphoma of mucosa‐associated lymphoid tissue (MALT lymphoma) with pulmonary involvement is a rare, indolent lymphoma with no standard treatment approaches. Methods To clarify patient characteristics, treatment, and prognosis of pulmonary MALT lymphoma in the modern era, a multi‐institutional observational ...
Kazutaka Suzuki +21 more
wiley +1 more source
Cellulose nanofibril (CNF)‐based membranes enable tuneable permeability in dual‐chamber PDMS barrier models. Their fibrillar 3D architecture closely mimics the native basement membrane, supporting cell adhesion and growth while allowing controlled modulation of small‐molecule diffusion through chemical and enzymatic treatments—a biomimetic platform for
Vita Guarino +11 more
wiley +1 more source

