Results 91 to 100 of about 12,139 (222)

The Fractional Ornstein-Uhlenbeck Process: Term Structure Theory and Application [PDF]

The paper revisits dynamic term structure models (DTSMs) and proposes a new way in dealing with the limitation of the classical affine models. In particular, this paper expands the flexibility of the DTSMs by applying a fractional Brownian motion as the ...
Frederiksen, Per H., Høg, Espen P.
core  

A Machine Learning Approach for Automated Fine-Tuning of Semiconductor Spin Qubits

, 2019
While spin qubits based on gate-defined quantum dots have demonstrated very favorable properties for quantum computing, one remaining hurdle is the need to tune each of them into a good operating regime by adjusting the voltages applied to electrostatic ...
Bethke, Patrick, Bluhm, Hendrik, Cerfontaine, Pascal, Dedden, Jonas, Humpohl, Simon, Ludwig, Arne, Otten, René, Teske, Julian D., Wieck, Andreas D.   +8 more
core   +1 more source

Improving Global Surface Soil Moisture Prediction Through Physics‐Guided Deep Learning and Cluster‐Based Regionalization

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Surface soil moisture (SSM) is essential to the hydrological cycle and land–atmosphere interactions, and its accurate simulation is crucial for climate prediction and resource management. This study developed an innovative modeling framework for global SSM prediction by integrating physics‐guided deep learning (PGDL) and clustering‐based ...
Xuan Xi, Qianlai Zhuang
wiley   +1 more source

Kalman filter based on a fractional discrete-time stochastic augmented CoVid-19 model

Journal of Biosafety and Biosecurity
In this paper, we study the dynamics of the CoVid-19 outbreak in Semarang, Indonesia, using a fractional CoVid-19 model. We first determine the effects of the isolation rate ∊ and infection rate β on the reproduction number R0 and infected number V.
Mohammad Ghani, Dwi Rantini, Maryamah
doaj   +1 more source

The Fractional OU Process: Term Structure Theory and Application [PDF]

The paper revisits dynamic term structure models (DTSMs) and proposes a new way in dealing with the limitation of the classical affine models. In particular, this paper expands the flexibility of the DTSMs by applying a fractional Brownian motion as the ...
Esben Hoeg, Per Frederiksen
core  

Eruption Source Parameters in Volcanic Plume Modeling: Advances, Challenges, and Future Directions

Reviews of Geophysics, Volume 64, Issue 2, June 2026.
Abstract Accurately predicting the atmospheric dispersion of volcanic ash and gases is crucial for both scientific understanding and hazard mitigation. Estimating Eruption Source Parameters (ESP), such as mass eruption rate, plume height, duration, and particle size distribution and properties, remains challenging due to the complex nature of volcanic ...
A. Costa, A. Folch, Y. J. Suzuki, L. Mingari, G. Macedonio   +4 more
wiley   +1 more source

Backward Darts and the Subsequent Scattered Discharges Occurring Along Lightning Positive Leader Branches

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 10, 28 May 2026.
Abstract We used the LOw‐Frequency ARray (LOFAR) to identify two new types of lightning discharges occurring along the tracks of earlier positive leaders. The first is a kind of intracloud dart leader that we call a “backward dart” whose behavior appears counterintuitive given the positive polarity of the channel, as they are negative dart leaders that
Bin Wu, Brian M. Hare, Olaf Scholten, Ningyu Liu, Joe Dwyer, Steve Cummer, Marten Lourens, Chris Sterpka, Paulina Turekova   +8 more
wiley   +1 more source

Comparative Analysis of the Performances of a Nonlinear Observer and Nonlinear Kalman Filters in the Presence of Non‐Gaussian Disturbances

International Journal of Robust and Nonlinear Control, Volume 36, Issue 7, Page 3896-3913, 10 May 2026.
ABSTRACT This paper focuses on state estimation for a fairly general class of systems, involving nonlinear functions and disturbances in both the process dynamics and output equations. A nonlinear observer that satisfies a H∞$$ {\boldsymbol{H}}_{\boldsymbol{\infty}} $$ disturbance attenuation constraint in addition to providing asymptotic stability in ...
Hamidreza Movahedi, Ali Zemouche, Rajesh Rajamani   +2 more
wiley   +1 more source

Combining long memory and level shifts in modeling and forecasting the volatility of asset returns [PDF]

, 2015
We propose a parametric state space model of asset return volatility with an accompanying estimation and forecasting framework that allows for ARFIMA dynamics, random level shifts and measurement errors.
Perron, Pierre, Varneskov, Rasmus T.
core  

Evaluation of the reliability of markerless tumor tracking with single‐energy and dual‐energy imaging using machine learning

Journal of Applied Clinical Medical Physics, Volume 27, Issue 5, May 2026.
Abstract Background Markerless tumor tracking (MTT) using single‐energy (SE) kilovoltage (kV) imaging has been proposed as a technique for lung tumor motion management. However, bony structures can obscure the tumor and make tracking challenging.
Ha Nguyen, Jason Luce, Liangjia Zhu, Mathias Lehmann, Hyejoo Kang, Matthew M. Harkenrider, John C. Roeske   +6 more
wiley   +1 more source