Results 141 to 150 of about 662,098 (274)
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi +3 more
wiley +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
Feature from recent image foundation models (DINOv2) are useful for vision tasks (segmentation, object localization) with little or no human input. Once upsampled, they can be used for weakly supervised micrograph segmentation, achieving strong results when compared to classical features (blurs, edge detection) across a range of material systems.
Ronan Docherty +2 more
wiley +1 more source
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Shape memory alloy wires exhibit thermally induced phase changes that generate actuation strain and resistance variations enabling self‐sensing. However, hysteretic electromechanical behavior complicates accurate state estimation. This paper presents an artificial in‐based self‐sensing method to reconstruct SMA actuator position in real time, achieving
Krunal Koshiya +2 more
wiley +1 more source
Optimizing wireless sensor networks using fuzzy triangular snake graph models and fuzzy topological indices. [PDF]
Hashem AF, Liaqat S, Mufti ZS, Hanif MF.
europepmc +1 more source
Prenatal Evaluation of RNU4‐2 Variants in Fetuses With Central Nervous System Anomalies
ABSTRACT Fetal central nervous system (CNS) anomalies are among the most common congenital malformations, yet the overall prenatal diagnostic yield of current genetic testing remains below 40%. Variants in RNU4‐2, a non‐coding gene encoding the U4 small nuclear RNA (snRNA), have recently been linked to a novel highly recurrent dominant ...
Yiyao Chen +13 more
wiley +1 more source
Backward cloud transformation algorithm based on Kullback Leibler divergence. [PDF]
Xu X +6 more
europepmc +1 more source
ABSTRACT For adults with intellectual disability and their families, future planning and moving out of the family home in Australia will increasingly occur within the context of the National Disability Insurance Scheme (NDIS). As a market‐based, individualised funding system its impact on this transition remains largely unknown. This paper reports on a
I. Belperio +5 more
wiley +1 more source

