Results 141 to 150 of about 1,282,583 (256)

Data‐driven emulation of flow‐dependent background‐error variance in variational data assimilation

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A machine‐learning approach is developed to emulate flow‐dependent background‐error variance within a variational data assimilation framework. The method reproduces uncertainty information that would normally require a 50‐member ensemble using only five members, while maintaining comparable observation fit and forecast performance.
Wei Pan, Massimo Bonavita, Marcin Chrust, Elías Hólm   +3 more
wiley   +1 more source

Multi-chaotic signal identification employing a causal cross-correlation neural network. [PDF]

iScience
Wang B, Piao X, Chen C, Guo E, Zhang X.
europepmc   +1 more source

Spectral Submanifolds of Delay Systems: Control in Continuous and Discrete Time

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents both continuous‐time and discretization‐based approaches for constructing spectral submanifolds (SSMs) for time delay systems. The continuous‐time approach built upon sun–star calculus, reformulates the governing delay differential equation (DDE) as an operator differential equation (OpDE).
Bence Szaksz, Gábor Orosz, Gábor Stépán   +2 more
wiley   +1 more source

Sparse Blind Deconvolution Using ADMM Methods Based on Asymmetric Structured Prior for UWB Fuze. [PDF]

Sensors (Basel)
Hao S, Pan X, Liang Y, Wu K, Yang B, Huang Z.   +5 more
europepmc   +1 more source

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source

A novel grey system model with discrete Riemann-Liouville fractional derivative and its applications. [PDF]

Sci Prog
Xu Z, Peng R, Pang M, Jiang J, Zhang R, Liu C.   +5 more
europepmc   +1 more source

Drift‐Corrected Monocular VIO and Perception‐Aware Planning for Autonomous Drone Racing

Journal of Field Robotics, EarlyView.
ABSTRACT The Abu Dhabi Autonomous Racing League (A2RL) x Drone Champions League (DCL) competition requires teams to perform high‐speed autonomous drone racing using only a single camera and a low‐quality inertial measurement unit—a minimal sensor set that mirrors expert human drone racing pilots.
Maulana Bisyir Azhari, Donghun Han, Je In You, Sung Jun Park, David Hyunchul Shim   +4 more
wiley   +1 more source

TFCdetector: Multivariable time series anomaly detection with time-frequency constraints. [PDF]

PLoS One
Fan J, Zhao J, Ma J, Cai Y.
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Balancing accuracy and efficiency: co-design of hybrid quantization and unified computing architecture for spiking neural networks. [PDF]

Front Neurosci
Li J, Xu M, Dong H, Lan B, Liu Y, Chen H, Zhuang Y, Xie Y, Chen L.   +8 more
europepmc   +1 more source