Results 211 to 220 of about 28,961 (286)
Revolutionizing hyper spectral image denoising: a squeezenet paradigm. [PDF]
Nachimuthu N +3 more
europepmc +1 more source
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue +6 more
wiley +1 more source
RNALoc-LM: RNA subcellular localization prediction using pre-trained RNA language model. [PDF]
Zeng M +6 more
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Origins and lifetimes of secular and tidal bars in simulated disc galaxies. [PDF]
Frosst M +3 more
europepmc +1 more source
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
Optimal variable clustering for high-dimensional matrix valued data. [PDF]
Lee I, Deng S, Ning Y.
europepmc +1 more source
A methodological framework is presented for combinatorial REBCO thin films fabricated by drop‐on‐demand inkjet printing with controlled Rare Earth composition gradients. Automated, synchrotron‐based, and local characterization techniques produce comprehensive property maps that correlate composition and TLAG process parameters with superconducting ...
Emma Ghiara +15 more
wiley +1 more source
Matrix-Variate Regression for Sparse, Low-Rank Estimation of Brain Connectivities Associated With a Clinical Outcome. [PDF]
Brzyski D +5 more
europepmc +1 more source

