Results 201 to 210 of about 63,163 (313)

Adaptive Distributed Student's T Extended Kalman Filter Employing Allan Variance for UWB Localization. [PDF]

Sensors (Basel)
Gao Y, Yang M, Zang X, Deng L, Li M, Xu Y, Sun M.   +6 more
europepmc   +1 more source

Convolutional neural network and dual-factor enhanced variational Bayes adaptive Kalman filter based indoor localization with Wi-Fi

, 2019
Bobai Zhao, Dali Zhu, Tong Xi, Chenggang Jia, Shang Jiang, Siye Wang   +5 more
openalex   +1 more source

Continuous Physics‐Informed Learning Expedited Battery Mechanism Decoupling

Advanced Science, Volume 13, Issue 1, 5 January 2026.
A battery modeling framework combining dual neural networks with physical prior is presented to track internal mechanisms, decouple overpotential components, and early predict aging trajectories using only DC data, eliminating the need for additional measurements.
Shanling Ji, Jun Yuan, Bojing Zhang, Aleksei Sanin, Leon Merker, Zhisheng Zhang, Jianxiong Zhu, Helge Sören Stein   +7 more
wiley   +1 more source

Modelling COVID-19 in the North American region with a metapopulation network and Kalman filter. [PDF]

Epidemics
Perini M, Yamana TK, Galanti M, Suh J, Kaondera-Shava R, Shaman J.   +5 more
europepmc   +1 more source

Computational Models of Multisensory Integration with Recurrent Neural Networks: A Critical Review and Future Directions

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This review outlines how recurrent neural networks model multisensory integration by capturing temporal and probabilistic features of sensory input. Key developments, challenges, and future directions are summarized, providing insights into biologically inspired AI. Multisensory integration (MSI) is a core brain function underlying perception, learning,
Ehsan Bolhasani, Seyed Hamed Aboutalebi, Yaser Merrikhi   +2 more
wiley   +1 more source

Method for reconstructing safety and arming motion process by integrating Kalman filter and KCF. [PDF]

Sci Rep
Zhang Y, Xiao Q, Liu X, Wei Y, Xue J.
europepmc   +1 more source

A Memristive Associative Learning Circuit for Fault‐Tolerant Multi‐Sensor Fusion in Autonomous Vehicles

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A memristor‐based associative learning circuit is presented for real‐time, fault‐tolerant sensor fusion in autonomous systems. The circuit mimics biological learning to recognize driving scenarios even with missing or degraded sensor inputs. Its low‐power, analog architecture enables robust decision‐making across diverse conditions, offering a ...
Kapil Bhardwaj, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +3 more
wiley   +1 more source

Hybrid extended Kalman filter with Newton Raphson method for lifetime prediction of lithium-ion batteries. [PDF]

Sci Rep
Fahmy HM, Hasanien HM, Alharbi M, Ji H.
europepmc   +1 more source

Investigation on Estimation of Vehicle Side Slip Angle by Using Extended Kalman Filter

, 2013
Junya Nagai, Yasutake HARAMIISHI, Yuuki Shiozawa, Hiroshi MOURI   +3 more
openalex   +2 more sources

Skin‐Like Airflow Odometry for Micro Aerial Vehicles Based on Distributed Thermal Anemometers

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
A novel bioinspired skin‐like airflow odometry system for micro aerial vehicles employs distributed thermal anemometers to enable motion estimation in GNSS‐denied environments. Computational fluid dynamics simulation validates sensor deployment feasibility, while a transformer‐enhanced gated recurrent unit network extracts high‐precision airflow ...
Weicheng Di, Shihao Dang, Zheng Gong, Jiahui Zhang, Jinwu Xiang, Yonggang Jiang, Daochun Li, Zhan Tu   +7 more
wiley   +1 more source