Results 121 to 130 of about 720,784 (299)
Immune Biomarkers of Islet Transplant Rejection Revealed by Synthetic Immunological Niche
A subcutaneous synthetic immunological niche (IN) enables serial, minimally invasive monitoring of immune responses after islet transplantation. Flow cytometry and transcriptomic profiling of the IN reveal immune‐cell programs associated with graft acceptance and distinct types of rejection.
Jyotirmoy Roy +8 more
wiley +1 more source
Locality regularization graph embedding in face verification [PDF]
Graph embedding techniques attempt to construct a high locality projection in such a way that projected same class samples should be close to each other.
Teoh, Andrew Beng Jin +4 more
core +1 more source
Manifold Regularization Graph Structure Auto-Encoder to Detect Loop Closure for Visual SLAM
Loop closure detection plays a vital role in the visual simultaneous localization and mapping (SLAM) systems. In order to overcome the shortcomings of the artificial design algorithm to extract insufficient features, this paper proposes a graph ...
Zhonghua Wang +3 more
doaj +1 more source
Bulk and genotype‐imputed transcriptomes obscure the cellular drivers of complex disease. CausalCellInfer resolves them by integrating invariant marker selection, deep learning deconvolution, and regularized matrix completion. Applied to ∼500 000 UK Biobank participants across 29 traits, it uncovers hallmark cell‐type proportion shifts, including ...
Liangying Yin +6 more
wiley +1 more source
Mixing method directly governs interface engineering and electrode morphology during the dry coating of all‐solid‐state battery cathodes. While high‐shear batch mixing yields poor electrode quality and lacks core–shell‐like features, continuous extruder mixing enables strong binder fibrillation and a core–shell‐like coating between the active material ...
Michael Wolf +7 more
wiley +1 more source
Consistent multi-layer subtask tracker via hyper-graph regularization
Most multi-task learning based trackers adopt similar task definition by assuming that all tasks share a common feature set, which can't cover the real situation well.
Fan BJ(范保杰), Cong Y(丛杨)
core
This Perspective charts the modeling landscape for soft manipulators, spanning sparse system identification, neural dynamics, physics‐informed models and hybrid intelligence. We examine how physics, data, sensing, adaptation and control can assume complementary roles within this landscape, and provide a framework for selecting modeling approaches ...
Wenbo Hui +4 more
wiley +1 more source
Online learning over graphs [PDF]
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simple algorithms and performance guarantees that we naturally interpret in ...
Mark Herbster +5 more
core +1 more source
From Artificial to Embodied and Physical Intelligence in Smart Manufacturing
Smart manufacturing is reframed through complementary artificial, embodied, and physical intelligence, spanning computational reasoning, perception‐action coupling, and material‐level adaptation. Their integration across design, fabrication, operation, and maintenance reveals how intelligence can be co‐designed across algorithms, embodied agents, and ...
Kang Wang +9 more
wiley +1 more source
Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods [PDF]
Neumann K, Emmerich C, Steil JJ. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 2012;4(3):230-246.Neural networks based on high-dimensional
Emmerich, Christian +2 more
core +1 more source

