Results 121 to 130 of about 179,319 (288)
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Do's and Don'ts When Visiting Circularly Polarized Luminescence
This perspective presents our insights into the principles, challenges, and opportunities of circularly polarized luminescence (CPL). Highlighting key concepts such as the dissymmetry factor (glum) and molecular design strategies, we discuss advances in CPL efficiency, emerging NIR emitters, solid‐state applications, and the growing role of theory and ...
Rafael G. Uceda +9 more
wiley +1 more source
All‐Dielectric Photo‐Thermo‐Optical Metasurfaces for Thermal Landscaping at the Nanoscale
Precise nanoscale temperature control is critical yet challenging due to the diffusive nature of heat. We introduce an inverse‐design framework for thermo‐optical all‐dielectric metasurfaces based on a temperature‐dependent absorption library of a‐Si nanoresonators.
Gopal Narmada Naidu +2 more
wiley +1 more source
Objectives. The purpose of this work was to create an effective iterative algorithm for the tomographic reconstruction of objects with large volumes of initial data.
A. А. Manushkin +3 more
doaj +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Approximation of an Inertial Iteration Method for a Set-Valued Quasi Variational Inequality
In this article, a projection type two step inertial iterative scheme for investigating set-valued quasi variational inequality in real Banach spaces is designed. We manifest the existence result and verified by an illustrative example.
Mohammad Akram
doaj +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
This study addresses the challenge of applying analytical methods for Cone Beam Computed Tomography (CBCT) reconstructions along arbitrary trajectories instead of iterative methods.
Yuzhong Zhou +3 more
doaj +1 more source
Stable Imitation of Multigait and Bipedal Motions for Quadrupedal Robots Over Uneven Terrains
How are quadrupedal robots empowered to execute complex navigation tasks, including multigait and bipedal motions? Challenges in stability and real‐world adaptation persist, especially with uneven terrains and disturbances. This article presents an imitation learning framework that enhances adaptability and robustness by incorporating long short‐term ...
Erdong Xiao +3 more
wiley +1 more source
Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang +7 more
wiley +1 more source

