Results 181 to 190 of about 97,116 (199)
A Review of Transverse Mode Adaptive Control Based on Photonic Lanterns. [PDF]
Lu Y, Jiang Z, Chen Z, Sun Z, Liu T.
europepmc +1 more source
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Quantum denoising autoencoder improves retinal fundus image quality for early diabetic retinopathy screening. [PDF]
Chilukuri R +3 more
europepmc +1 more source
Herein, a patient‐mounted neuro optical coherence tomography system that integrates a 5 degrees‐of‐freedom skull‐mounted robot (Skullbot) with a 0.6 mm neuroendoscope for targeted, minimally invasive deep brain imaging, is developed. The system offers high‐resolution imaging with precise deployment, demonstrated through successful tumor imaging in a ...
Chao Xu +7 more
wiley +1 more source
QRBT: Quantum Driven Reinforcement Learning for Scalable Blockchain Transaction Processing. [PDF]
Lella KK, Mallu SRK.
europepmc +1 more source
This work presents a lightweight Miura‐origami soft knee exoskeleton powered by vacuum actuation and integrated with a multimodal physiological intent‐recognition system, providing real‐time assistance during sit‐to‐stand movement to reduce muscle effort and improve user comfort.
Yuchuan Jia +5 more
wiley +1 more source
This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Cryo-electron microscopy reveals sequential binding and activation of Ryanodine Receptors by statin triplets. [PDF]
Molinarolo S +3 more
europepmc +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Design and Research of Superimposed Force Sensor. [PDF]
Wu G, Shao J, Xu Y, He Z, Liu S.
europepmc +1 more source

