Results 61 to 70 of about 169 (137)
Application of Reinforcement Learning and Deep Learning in Multiple-Input and Multiple-Output (MIMO) Systems. [PDF]
Sensors (Basel), 2021 Naeem M, De Pietro G, Coronato A.
europepmc +1 more source
Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 8, Issue 8, August 2026.A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng +4 more
wiley +1 more source
Execution Time Optimization Through Feature and Temporal Reduction in Asset Pricing
Concurrency and Computation: Practice and Experience, Volume 38, Issue 15, August 2026.ABSTRACT High‐dimensional financial machine learning (ML) pipelines are computational workloads as much as predictive models: their practical value depends on runtime, memory footprint, scalability, and the ability to retrain under resource constraints. This paper treats empirical asset pricing as a demanding real‐world workload and proposes Cost‐Aware
Umit Demirbaga, Yue Xu, Evrim Guler
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Energy Science &Engineering, Volume 14, Issue 8, Page 3674-3696, August 2026.This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Partitioning Site Amplification and κ0 in Earthquake Recordings
Earthquake Spectra, Volume 42, Issue 3, August 2026.This study explores site amplification and spectral decay (κ0) estimates, focusing on the challenge of separating the two in observed Fourier amplitude spectra (FAS). We apply two general approaches: a Bayesian broadband inversion for simultaneous estimation of site amplification and κ0, and slope‐based methods for direct κ0 estimation from the ...
Bartik Pandel +3 more
wiley +1 more source
Dairy Cattle Rumen Bolus Developments with Special Regard to the Applicable Artificial Intelligence (AI) Methods. [PDF]
Sensors (Basel), 2022 Hajnal É, Kovács L, Vakulya G.
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Hexagonal Hollow‐Core Photonic Crystal Fiber for High‐Sensitivity Terahertz Glucose Detection
Journal of Biophotonics, Volume 19, Issue 8, August 2026.A novel hexagonal hollow‐core photonic crystal fiber (HPhCF) operating at 2.2 THz is proposed for rapid, non‐invasive detection of urinary glucose. The Zeonex‐based hollow‐core architecture enhances light‐analyte interaction, enabling 96.90% relative sensitivity while maintaining ultra‐low confinement loss and low effective material loss.
Mohammad Abdullah‐Al‐Shafi +3 more
wiley +1 more source
Signal Processing Techniques for 6G. [PDF]
J Signal Process Syst, 2023 Mucchi L +6 more
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Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 862-870, August 2026.ABSTRACT Purpose To evaluate the extent to which the appearance of HOD in the brain following systemic administration of a deuterated substrate is due to local brain metabolism versus body metabolism. Methods [6,6‐2H2]glucose, which is transported across the blood‐brain barrier (BBB), and [6,6‐2H2]fructose (Fruc), which does not cross the BBB, were ...
Joseph J. H. Ackerman +5 more
wiley +1 more source