Results 121 to 130 of about 7,530,486 (302)

On the difference between orthogonal matching pursuit and orthogonal least squares

open access: yes, 2007
— Greedy algorithms are often used to solve underdetermined inverse problems when the solution is constrained to be sparse, i.e. the solution is only expected to have a relatively small number of non-zero elements.
Blumensath, T.   +3 more
core  

Self-Supervised Spatiotemporal Reconstruction of Ocean Color Chlorophyll-a from Satellite Observations

open access: yesJournal of Remote Sensing
Satellite ocean color chlorophyll-a (Chl-a) records are heavily gapped due to clouds and orbital sampling, which can bias trend and phenology analyses and hinder studies of mesoscale dynamics.
Haoyu Wang   +3 more
doaj   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

open access: yesAdvanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu   +7 more
wiley   +1 more source

From Sensing Mechanisms to System Co‐Design: Graphene‐Based Sensors and Readout Circuits

open access: yesAdvanced Science, EarlyView.
This review establishes a unified PS–EQ–RF framework linking graphene sensing mechanisms, native electrical outputs, and output‐specific readout circuits. Voltage‐, current‐, resistance‐, and capacitance‐type sensing systems are systematically classified to guide architecture selection, low‐noise design, system co‐design, and practical integration ...
Jinduo Zhang   +5 more
wiley   +1 more source

Orthogonal-least-squares forward selection for parsimonious modelling from data

open access: yes, 2009
The objective of modelling from data is not that the model simply fits the training data well. Rather, the goodness of a model is characterized by its generalization capability, interpretability and ease for knowledge extraction.
Sheng Chen, Chen, Sheng
core  

Construction of radial basis function networks with diversified topologies

open access: yes, 2011
In this review we bring together some of our recent work from the angle of the diversified RBF topologies, including three different topologies; (i) the RBF network with tunable nodes; (ii) the Box-Cox output transformation based RBF network (Box-Cox RBF)
Hong, Xia   +7 more
core   +1 more source

Reconstruction of ionospheric VTEC using empirical orthogonal function and its performance during extreme geomagnetic storm

open access: yesGeodesy and Geodynamics
This paper demonstrates that the spatial distribution of the ionospheric TEC over the Indian region can be reconstructed with appreciable accuracy using minimal numbers of empirical orthogonal functions as a basis.
Rajat Acharya, Victor Dey
doaj   +1 more source

Dual pKa Lipid Nanoparticles for Lung‐tropic mRNA Delivery and pH‐Programmed Endosomal Escape

open access: yesAdvanced Science, EarlyView.
Lipid nanoparticles’ bottleneck lies in low endosomal escape efficiency and liver‐dominant delivery after intravenous administration. To overcome these limitations, we present a stepwise pH‐programmed lipid nanoparticle system enabled by our newly synthesized ionizable lipid.
Seong Gi Lim   +12 more
wiley   +1 more source

Oligosaccharides With Defined Glycosidic Bonds Shape Gut Microbial Succession and Metabolism Via Bond‐Specific Microbial Responders

open access: yesAdvanced Science, EarlyView.
Oligosaccharides with defined glycosidic bonds drive divergent gut microbial succession and shape unique metabolic profiles. Absolute time‐series profiling with Bayesian generalized Lotka–Volterra modeling identifies bond‐specific microbial responders, while monoculture validation and metaproteomics reveal linkage‐matched transport and cleavage modules.
Xiaoxuan Lu   +10 more
wiley   +1 more source

MethyAnno: An Interpretable Automated Annotation Method Leveraging Multi‐Scale Information and Metric Learning Framework for scDNAm Data

open access: yesAdvanced Science, EarlyView.
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia   +4 more
wiley   +1 more source

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