Results 131 to 140 of about 38,367 (259)
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley +1 more source
Brain‐Computer Interface Training Fosters Perceptual Skills to Detect Errors
Accurate perception of visuomotor errors underpins motor precision and learning, yet conventional behavioral training fails to improve sensitivity to subtle errors. Real‐time EEG‐based brain‐computer interface feedback targeting the error positivity component enhances perceptual learning of small errors.
Deland H. Liu +4 more
wiley +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
WTConv-TimesNet for Road Icing State Classification with IWOA-Based Hyperparameter Optimization. [PDF]
Cui L, Ji Y, Zhang L, Li H.
europepmc +1 more source
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
wiley +1 more source
Sustainable Hyperparameter Optimization
https://www.ieeesmc.org/cai-2026/tutorial-7-sustainable-hyperparameter-optimization/ https://github.com/ai-for-decision-making-tue ...
AMINI, Sasan, Bliek, Laurens
openaire +2 more sources
Hyperparameter Optimization of Convolutional Neural Networks for Robust Tumor Image Classification. [PDF]
Hussain SM +4 more
europepmc +1 more source
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu +5 more
wiley +1 more source
A flexible framework for hyperparameter optimization using homotopy and surrogate models. [PDF]
Abraham SJ +5 more
europepmc +1 more source
Hyperparameter optimization for cardiovascular disease data-driven prognostic system. [PDF]
Saputra J +3 more
europepmc +1 more source

