Results 151 to 160 of about 2,419,332 (252)

tgLang: A Domain-Specific Language for Geometry Processing and Computational Imaging Workflows. [PDF]

J Imaging
Suriyababu VK, Vuik C, Möller M.
europepmc   +1 more source

Assessing the ability of a stretched‐grid deep‐learning weather prediction model to capture physical balances

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Regional deep learning weather prediction (DLWP) models, such as Bris, offer high resolution forecasts comparable with traditional numerical weather prediction (NWP) models. We evaluated Bris against the operational MetCoOp Ensemble Prediction System (MEPS) during extratropical cyclone Poly (July 5, 2023).
Francesco Pasquini, Michiel Baatsen, Bastien François, Natalie Theeuwes, Maurice Schmeits   +4 more
wiley   +1 more source

Topology optimization methods for the design of electromagnetic actuators

, 2011
Topology optimization methods aim to design devices in an automated way. The designer defines a design space which is divided in cells, a library of materials and an objective function.
Labbe, Thibaut
core  

Privacy‐Preserving Data‐Driven Distributed MPC for Heterogeneous Nonlinear Multi‐Agent Systems

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Distributed model predictive control (DMPC) is a cornerstone for coordinating multi‐agent systems, yet simultaneously ensuring data privacy, handling unknown nonlinear dynamics, and managing heterogeneous constraints remains an open challenge.
Mahmood Mazare, Hossein Ramezani
wiley   +1 more source

Optimization and Deployment of Real-Time On-Orbit Intelligent Interpretation Algorithms for Spaceborne Remote Sensing. [PDF]

Sensors (Basel)
Li C, Jiang H, Li Y, Xie H, Wang Y, Fan Y.   +5 more
europepmc   +1 more source

Finite Strain Robust Topology Optimization Considering Multiple Uncertainties [PDF]

This paper presents a computational framework for the robust stiffness design of hyperelastic structures at finite deformations subject to various uncertain sources.
Feng, Nan, Khandelwal, Kapil, Zhang, Guodong   +2 more
core  

UAV‐Based Precision Seed Dropping for Automated Reforestation

Journal of Field Robotics, EarlyView.
ABSTRACT Wildfires and deforestation pose significant threats to forest ecosystems, motivating scalable methods for reforestation beyond labor‐intensive cultivation of native forest seedlings in nurseries. To enable large‐scale direct seeding of native species, this paper presents the design, analysis, and field evaluation of a UAV‐based seed‐dropping ...
Qi Rui Lee, Henrik Hesse, Khuanphirom Naruangsri, Worayut Takaew, Stephen Elliott, Dinesh Bhatia   +5 more
wiley   +1 more source

Intelligent association and power control method for cell-free massive MIMO in low-altitude communications

Tongxin xuebao
With the rapid development of the low-altitude economy, the communication support role of cell-free massive multiple-input multiple-output systems has become increasingly important.
Zhang Qi, Jia Xuri, Cai Shu, Zhang Jun, Wu Yi   +4 more
doaj  

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

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth, Thomas Jerkovits, Anupama Hegde, Thomas Delamotte, Andreas Knopp   +4 more
wiley   +1 more source