Results 181 to 190 of about 1,938,747 (236)

Nowcasting World Trade With Machine Learning: A Three‐Step Approach

Journal of Forecasting, Volume 45, Issue 6, Page 2954-2968, September 2026.
ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn, Baptiste Meunier, Sebastian Stumpner   +2 more
wiley   +1 more source

Optimal control and multitrophic physiologically‐based models: The binomial for successful decision support systems in insect pest management

Pest Management Science, Volume 82, Issue 9, Page 9285-9292, September 2026.
Decision‐making in integrated pest management (IPM) corresponds to an optimisation problem where the plant–pest dynamics and the control actions are constraints and where the objective function accounts for the costs of the treatments and the total income at the harvest time.
Luca Rossini, Ouassim Benhamouche, Emanuele Garone   +2 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, Volume 43, Issue 6, Page 3617-3632, September 2026.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Biomimetic Multifinger Tactile Sensing and Contact‐Regulated Palpation for Autonomous Breast Tumor Localization

Journal of Field Robotics, Volume 43, Issue 6, Page 3939-3954, September 2026.
ABSTRACT Early detection of breast abnormalities remains challenging: manual palpation is subjective and operator‐dependent, while imaging modalities may miss small or subtle stiffness anomalies. This paper presents a biomimetic multifinger robotic palpation approach intended to support early breast‐cancer screening and follow‐up assessment as a proof ...
Kai Cheng, Yuanyuan Shen, Huanhai Zhang, Baifeng Li, Chao Cheng, Hamid Reza Karimi, Hang Su, Samer Alfayad   +7 more
wiley   +1 more source

A Systematic Review and Taxonomy of Fall Detection in Geriatric Care: Current State, Challenges, and Applications

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of fall‐detection approaches and technologies in geriatric care. ABSTRACT This systematic review provides a critical examination of fall detection (FD) technologies in geriatric care, analyzing both technological innovations and implementation challenges across diverse healthcare environments.
Hamid Ali, Ji Zhang, Xiaohui Tao, Raj Gururajan, Xujuan Zhou, Yuquan Gan, Josh Jia‐Ching Ying   +6 more
wiley   +1 more source

Toward an Improved Understanding of the Antarctic Coastal Zone and Its Contribution to Future Global Sea Level

Reviews of Geophysics, Volume 64, Issue 3, September 2026.
Abstract Understanding the coastal zone of the Antarctic Ice Sheet (AIS), where it interacts with the Southern Ocean and warmer air masses, is crucial for predicting Antarctica's influence on the global climate and sea level. This region has multiple tipping mechanisms that could trigger large, rapid, and potentially irreversible changes in the AIS ...
Kenichi Matsuoka, Geir Moholdt, Jennifer F. Arthur, Julien A. Bodart, Xiangbin Cui, Fausto Ferraccioli, René Forsberg, Vikram Goel, Tom A. Jordan, Felicity S. McCormack, Ruth Mottram, Hamish D. Pritchard, Calvin Shackleton, Kirsty J. Tinto, Fredrik Boberg, Marie G. P. Cavitte, Reinhard Drews, Pierre Dutrieux, Jörg Ebbing, Olaf Eisen, Hannes Eisermann, Alex S. Gardner, Chad A. Greene, Nicholas Holschuh, Stewart S. R. Jamieson, Byeong‐Hoon Kim, Naomi Krauzig, Bernd Kulessa, Carlton Leuschen, Jilu Li, Lu Li, Jonas Liebsch, Joseph A. MacGregor, Emma MacKie, Anirudha Mahagaonkar, Joséphine Maton, Mathieu Morlighem, Francisco Navarro, Peter D. Neff, Inès N. Otosaka, Frank Pattyn, Antonia Ruppel, Rebecca J. Sanderson, Hélène Seroussi, Andrew Shepherd, Matthew R. Siegfried, Thomas Slater, Arjen P. Stroeven, Michael Studinger, Thomas Teisberg, Ryan A. Venturelli, Jeremy P. Winberry, Chen Zhao, Lu An, Jonathan L. Bamber, Robin E. Bell, Robert G. Bingham, Johanna Brehmer‐Moltmann, Graeme Eagles, Jamin Greenbaum, Jorn Gronset, Won Sang Lee, Emmanuel Le Meur, Lenneke M. Jong, Katrin Lindbäck, Sven Lidström, Mareen Lösing, Masahiro Minowa, Mayuri Pandey, Yogesh Ray, Mirko Scheinert, Dustin M. Schroeder, Thorsten Seehaus, Kaian Shahateet, Daniel Steinhage, Xueyuan Tang, Drew Taylor, Hannah Verboncoeur, Junjun Yang, Duncan A. Young   +79 more
wiley   +1 more source

Kalman filter and extended Kalman filter [PDF]

, 2017
In the Bachelor’s thesis we describe the Kalman filtering algorithm for linear-Gaussian state space models and give an example of its application. We describe the extended Kalman filter for differentiable Gaussian state space models and give examples of its application.
Järvsoo, Johanna Adele
openaire   +2 more sources

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Polynomial extended Kalman filter

IEEE Transactions on Automatic Control, 2005
This work presents a polynomial version of the well-known extended Kalman filter (EKF) for the state estimation of nonlinear discrete-time stochastic systems. The proposed filter, denoted polynomial EKF (PEKF), consists in the application of the optimal polynomial filter of a chosen degree mu to the Carleman approximation of a nonlinear system. When mu
GERMANI, Alfredo, MANES, COSTANZO, Palumbo P.   +2 more
openaire   +5 more sources

An interlaced extended Kalman filter

IEEE Transactions on Automatic Control, 1999
The aim of the paper is to propose an estimation algorithm, called Interlaced Extended Kalman Filter (IEKF), for a class of discrete-time nonlinear systems. The vector state of the system is assumed to be partitionable into \(m\) parts (subsystems), whose dynamic equations are supposed to be affine for each of the corresponding part (subsystem).
Luigi Glielmo, Roberto Setola, Francesco Vasca   +2 more
openaire   +3 more sources

Modified extended Kalman filtering

IEEE Transactions on Automatic Control, 1994
The authors propose a modification of the extended Kalman filtering algorithm for the following system: \[ dX_ t= f(t, X_ t) dt+ \varepsilon_ 1 \sigma_ 1 (t)dV_ t, \qquad dy_ t= h(t, X_ t) dt+ \varepsilon_ 2 \sigma_ 2 (t) dW_ t, \] where \((V_ t)\) and \((W_ t)\) are independent Brownian motions, \((X_ t)\in \mathbb{R}^ n\) and \((y_ t)\in \mathbb{R ...
Nasir U. Ahmed, S. M. Radaideh
openaire   +2 more sources