Results 211 to 220 of about 342,486 (260)
Microfluidic Mixing with the Dynamic Control of Magnetic Actuation
Schematic illustration and flow field visualization of magnetically actuated L‐shaped microrobots displaying cooperative vortex generation for enhanced microscale mixing. The left side shows the electromagnetic actuation setup, which enables programmable control of rotational direction and frequency.
Prashant Kishor Sharma +2 more
wiley +1 more source
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
Comparison of national health planning policies in China and ASEAN: a PMC-index model analysis. [PDF]
Feng J +10 more
europepmc +1 more source
The newly developed AI‐automated Fast Fourier Transform denoising algorithm surpasses conventional real‐space methods by revealing even light atoms otherwise hidden in noisy backgrounds. Atomic resolution electron microscopy has become an essential tool for many scientific fields, when direct visualization of atomic arrangements and defects is needed ...
Ivan Pinto‐Huguet +8 more
wiley +1 more source
RF-LSTM carbon price prediction based on CEEMDAN decomposition and multiscale entropy reconstruction. [PDF]
Wang H, Li Y.
europepmc +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
Sensor ToolKit (STK): Compact Multiplexing Potentiostat for Point-of-Care Applications. [PDF]
Andreo Acosta AA +6 more
europepmc +1 more source
KDLM: Lightweight Brain Tumor Segmentation via Knowledge Distillation
A lightweight student network is designed, which is based on multiscale and multilevel feature fusion and combined with the residual channel attention mechanism to achieve efficient feature extraction and fusion with very few parameters. A dual‐teacher collaborative knowledge distillation framework is proposed.
Baotian Li +4 more
wiley +1 more source
The role of domestic and international markets in the loss of nature across Brazil
Afonso DL +3 more
europepmc +1 more source
Regional carbon emission reduction potential estimation based on scenario analysis under emission standards. [PDF]
Xia X, Yan Z, Zhang S, Zhu D.
europepmc +1 more source

