Results 171 to 180 of about 1,497,677 (335)
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
Quantum-entangled neuro-symbolic swarm federation for privacy-preserving IoMT-driven multimodal healthcare. [PDF]
Ben Othman S, Ali O.
europepmc +1 more source
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang +5 more
wiley +1 more source
"You can't tee them up for retirement because we have to go out and win gold medals…": a Foucauldian exploration of Olympic coaching logic and athletic retirement. [PDF]
Boardman N, Jones L, Toner J, Avner Z.
europepmc +1 more source
Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters
This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour +4 more
wiley +1 more source
Dismantling structural violence to enable structural transformation and consequently social inclusion. [PDF]
Jones N.
europepmc +1 more source
The Modal Logic LEC for Changing Knowledge, Expressed in the Growing Language
Marcin Łyczak
openalex +2 more sources
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
RDFS Knowledge Graphs Through the Lens of Logic: Semantics and Query Answering
Roberto Maria Delfino +2 more
openalex +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source

