Results 221 to 230 of about 1,663,862 (332)
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang +4 more
wiley +1 more source
A first look at rocky exoplanets with JWST. [PDF]
Kreidberg L, Stevenson KB.
europepmc +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
Rivers of Tears - Convergent, Multi-Scale Approaches to Monitor and Optimize the Health of Our World's Inhabitants. [PDF]
Anderson EJ +6 more
europepmc +1 more source
An Earth-system perspective of the global nitrogen cycle
N. Gruber, J. Galloway
semanticscholar +1 more source
: In this work, Voxel‐SLAM (simultaneous localization and mapping) is introduced: a complete, accurate, and versatile LiDAR (light detection and ranging) ‐inertial SLAM system consisting of five modules: initialization, odometry, local mapping (LM), loop closure (LC), and global mapping (GM), all employing the same map representation, an adaptive voxel
Zheng Liu +9 more
wiley +1 more source
By exploiting the structural benefits of PHI, we synthesized CoPHI with atomically dispersed cobalt sites at high density. This architecture enables efficient nitrate ion adsorption, promotes water dissociation, and enhances *H generation on the catalyst surface, thereby significantly improving electrochemical nitrate reduction performance.
Nana Gao +14 more
wiley +2 more sources
Shock compression of FeOOH and implications for iron-water interactions in super-earth magma oceans. [PDF]
Zhang Y +21 more
europepmc +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source
A novel carbon dots material (BUL‐CDs) with an initial afterglow brightness (406 cd m−2) far exceeding that of other afterglow luminescent materials was developed. Furthermore, the BUL‐CDs exhibited time‐dependent afterglow colors, excitation‐dependent afterglow colors, and thermochromic afterglow in response to triplet variables.
Yupeng Liu +13 more
wiley +2 more sources

