Results 141 to 150 of about 24,887 (253)
Equivalence of Left- and Right-Invariant Extended Kalman Filters on Matrix Lie Groups [PDF]
Frank Maurer +3 more
openalex +1 more source
Forecasting With Machine Learning Shadow‐Rate VARs
Journal of Forecasting, Volume 45, Issue 2, Page 770-786, March 2026.ABSTRACT Interest rates are fundamental in macroeconomic modeling. Recent studies integrate the effective lower bound (ELB) into vector autoregressions (VARs). This paper studies shadow‐rate VARs by using interest rates as a latent variable near the ELB to estimate their shadow‐rate values.
Michael Grammatikopoulos
wiley +1 more source
Night-Rider: Nocturnal Vision-aided Localization in Streetlight Maps Using Invariant Extended Kalman Filtering [PDF]
Tianxiao Gao +3 more
openalex +1 more source
Journal of Field Robotics, Volume 43, Issue 2, Page 847-878, March 2026.ABSTRACT This paper presents the development and validation of a scalable platooning system based on the predecessor‐following (PF) topology, designed for low‐cost follower platforms. It integrates key technologies such as localization, path planning, profile generation, and low‐level control to create a practical solution.
Dongwoo Seo, Jinhee Lee, Jaeyoung Kang
wiley +1 more source
Journal of Field Robotics, Volume 43, Issue 2, Page 1130-1151, March 2026.ABSTRACT We present a comprehensive teleoperation framework for electric vehicle (EV) battery cell handling, integrating haptic feedback, extended reality (XR) visualization, and task‐parameterized Gaussian mixture regression (TP‐GMR) for adaptive, real‐time trajectory generation.
Alireza Rastegarpanah +5 more
wiley +1 more source
A Robust Transformer–Based Error Compensation Method for Gyroscope of IMUs
Journal of Field Robotics, Volume 43, Issue 2, Page 932-948, March 2026.ABSTRACT Inertial Measurement Units (IMUs), comprising gyroscopes and accelerometers, are fundamental for motion estimation in navigation and robotics. However, their performance is often degraded by nonlinear and time‐varying errors, such as bias drift, scale‐factor deviations, and sensor noise.
Xin Ye +4 more
wiley +1 more source
Blockchain and Digital Technologies in the Telecommunications Industry
Thunderbird International Business Review, Volume 68, Issue 2, Page 139-163, March/April 2026.ABSTRACT This article examines how fourth industrial revolution (4IR) technologies, specifically blockchain and digital twin technologies, can be utilized to address the energy supply challenge and enhance the management of distributed telecom infrastructure assets in a research context.
Charles Okeyia +3 more
wiley +1 more source
On Wind Directions Estimated by Nacelle Lidar Under Different Reconstruction Methods
Wind Energy, Volume 29, Issue 3, March 2026.ABSTRACT The wind direction is closely linked to the power performance and structural loads of wind turbines. Conventional nacelle‐mounted vanes or sonic anemometers face errors associated with airflow distortions caused by turbine blades. Nacelle‐mounted lidar systems offer line‐of‐sight speed measurements from multiple positions ahead of the rotor ...
Feng Guo +7 more
wiley +1 more source
Simultaneous State and Parameter Estimation Methods Based on Kalman Filters and Luenberger Observers: A Tutorial & Review. [PDF]
Sensors (Basel)Chebbi A, Franchek MA, Grigoriadis K.
europepmc +1 more source
Deep Learning Atmospheric Models Reliably Simulate Out‐of‐Sample Land Heat and Cold Wave Frequencies
Geophysical Research Letters, Volume 53, Issue 3, 16 February 2026.Abstract Deep learning (DL)–based general circulation models (GCMs) are emerging as fast simulators, yet their ability to replicate extreme events outside their training range remains unknown. Here, we evaluate two such models—the hybrid Neural General Circulation Model (NGCM) and purely data‐driven Deep Learning Earth System Model (DLESyM)—against a ...
Zilu Meng +3 more
wiley +1 more source