Results 161 to 170 of about 2,419,433 (298)

Structural identifiability of constitutive relations from indirect field observations. [PDF]

PNAS Nexus
Ju YS.
europepmc   +1 more source

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

EARDC: Energy-Aware Reaction-Diffusion-Based Clustering for Area Coverage in Wireless Sensor Networks. [PDF]

Sensors (Basel)
Wu SY, Brown T.
europepmc   +1 more source

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

Coverage Probability Analysis and Relay Placement Optimization for Two-Hop LoRa Networks with Random Traffic Activation. [PDF]

Sensors (Basel)
Xu Z, Yu G.
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

MA-DyRoLT: multi-agent path finding method based on dynamic waypoints and learning communication topology. [PDF]

Sci Rep
Liang Z, Wang S, Yu X, Liu J, Feng J, Ma J.   +5 more
europepmc   +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

Adaptive G-UKT: a unified probabilistic framework for knowledge tracing via adaptive graph topology learning and uncertainty-aware Gaussian embeddings. [PDF]

Sci Rep
Jia N, Su W, Xian J, Zou S, Xia Y.
europepmc   +1 more source

Directive Antenna Clutter Loss in Slant Paths

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper investigates the development of a clutter loss model specifically for slant paths involving directive antennas. Conventionally, clutter loss is characterized by using isotropic antennas to facilitate standard link budget calculations via single antenna gain values.
Fernando Pérez Fontán, Vicente Pastoriza‐Santos, Fernando Machado Domı́nguez, Thomas Prechtl, Pavel Pechac   +4 more
wiley   +1 more source