Results 181 to 190 of about 59,238 (279)
A compact and flexible wearable force myography sensor based on optical fiber technology detects muscle activity through pressure‐induced light loss. The sensor offers high sensitivity for detecting subtle force and finger motion changes, along with excellent signal stability under dynamic and sweating conditions.
Chongyoung Chung +3 more
wiley +1 more source
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu +6 more
wiley +1 more source
YModPred: an interpretable prediction method for multi-type RNA modification sites in S. cerevisiae based on deep learning. [PDF]
Ao C, Niu M, Zou Q, Yu L, Wang Y.
europepmc +1 more source
Design of a Reconfigurable Microfluidic System Enabled by Magnetic Miniature Robots
Magnetic miniature robots are integrated into microfluidic chips to achieve real‐time reconfiguration. By external magnetic actuation, the robots perform sorting, mixing, flow regulation, and bubble removal on demand. This versatile platform eliminates the need for complex on‐chip hardware and enables adaptive control for biological and chemical ...
Yuanhe Chen +3 more
wiley +1 more source
Domain-Adaptive MRI Learning Model for Precision Diagnosis of CNS Tumors. [PDF]
Abdelbaki W +5 more
europepmc +1 more source
Contact Force Estimation of Continuum Robots without Embedded Sensors: A Review
This review surveys methods for estimating contact forces in continuum robots without embedded sensors. It explains why contact force matters, classifies force patterns, and groups existing methods into three approaches based on actuation, deformation, and environment information.
An Hu, Yu Sun
wiley +1 more source
IE-MAS: Internal-External Multi-Agent Steering for Controllable Image Captioning. [PDF]
Cai T, Chen C, Lin S, Ju S, Liao X.
europepmc +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Explicit error coding can mediate gain recalibration in continuous bump attractor networks. [PDF]
Secer G, Knierim JJ, Cowan NJ.
europepmc +1 more source

