Results 121 to 130 of about 2,805 (284)
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
Journal 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
Knowledge sourcing, geopolitics, and FDI: An empirical analysis on the US green and digital sectors
Global Strategy Journal, EarlyView.Abstract Research Summary This paper examines how foreign direct investment (FDI) shapes firms' sourcing of knowledge in the digital and green domains under rising geopolitical frictions. We assemble a firm–country dyadic panel (2013–2020) linking US patent backward citations to firms' FDI, enriched with bilateral geopolitical distance and host‐country
Alberto Maria Radici
wiley +1 more source
Carotid arteries segmentation in CT images with use of a right generalized cylinder model
Revista Colombiana de Computación, 2010 The arterial lumen is modeled by a continuous right generalized cylinder with piece-wise constant parameters. The method is based on the identification of the parameters of each piece from a series of contours extracted along an approximate axis of the ...
Leonardo Flórez Valencia +2 more
doaj
How Is FinTech Shaping Household Portfolio Behaviour?
International Journal of Finance &Economics, EarlyView.ABSTRACT This paper examines how FinTech adoption influences household portfolio allocation across major advanced economies. Using a flow‐of‐funds framework and the Almost Ideal Demand System (AIDS), we model household demand for currency, deposits, loans, debt securities, and equity in the United States, United Kingdom, Euro Area, Japan and Australia.
Victor Murinde, Athina Petropoulou
wiley +1 more source
Kidney InternationalThree-dimensional (3D) imaging has advanced basic research and clinical medicine. However, limited resolution and imperfections of real-world 3D image material often preclude algorithmic image analysis. Here, we present a methodologic framework for such imaging and analysis for functional and spatial relations in experimental nephritis.
Alexander M.C. Böhner +8 more
openaire +2 more sources
On correctness of first and second order fast marching method
, 2011 In this article we will discuss the Fast Marching Method which was introduced by James A. Sethian to solve some types of nonlinear partial differential equations efficiently.
Christoph Lass
core +1 more source
The regulation of stem cell fate and its application in neural regeneration
Interdisciplinary Medicine, EarlyView.Regulating stem cell fate is crucial for neural regeneration. This review summarizes key physical, biological, and chemical strategies and their applications in repairing nerve injuries, providing new insights for regenerative medicine. Abstract Regulating the fate of stem cells (SCs) is a key technical problem in the field of regenerative medicine and
Yuexin He +3 more
wiley +1 more source
A novel technique for reducing false positive detections in CAD-CTC [PDF]
, 2006 Computed tomography colonoscopy (CTC) is an emerging alternative to conventional colonoscopy for colorectal cancer screening. A series of computer assisted diagnosis (CAD) techniques have been developed for use in CTC.
Sadleir, Robert J.T.
core
Mapping complex fracture systems as termite mounds—a fast-marching approach
, 2011 Mapping complex fracture systems can be as difficult as mapping termite mounds. An entomologist casts a real 3D model of a termite mound by pumping 600°C aluminum melt into the tunnel system.
Hao Guo, Kurt J. Marfurt, Jiang Shu
core +1 more source
Informed anytime fast marching tree for asymptotically-optimal motion planning [PDF]
, 2020 In many applications, it is necessary for motion planning planners to get high-quality solutions in high-dimensional complex problems. In this paper, we propose an anytime asymptotically-optimal sampling-based algorithm, namely Informed Anytime Fast ...
Kechen Song (6743135) +5 more
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