Results 181 to 190 of about 323,805 (281)
The blob algorithm: a network approach to residual sleepiness in treated obstructive sleep apnea. [PDF]
Williams MK, Varga AW, Ayappa I.
europepmc +1 more source
A New Connected-Component Labeling Algorithm
Xiao Zhao +3 more
openaire +2 more sources
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source
Linking patient records at scale with a hybrid approach combining contrastive learning and deterministic rules. [PDF]
Cao C +3 more
europepmc +1 more source
Zero‐dimensional carbon nanomaterials are presented as multifunctional platforms linking structure, property, and sensing performance. Surface engineering and heteroatom doping modulate electron‐transfer and luminescent behavior, enabling electrochemical, photoluminescent, and electrochemiluminescent detection. Fundamental design principles, analytical
Gustavo Martins +8 more
wiley +1 more source
Training convolutional neural networks with the Forward-Forward Algorithm. [PDF]
Scodellaro R +3 more
europepmc +1 more source
Procalcitonin is a key biomarker for bacterial infections, but conventional detection methods are often time‐consuming. Here, we present an electrochemical sensor based on highly conductive Ti3C2Tx MXene combined with PEDOT:PSS, enabling direct antibody immobilization, while a bovine serum albumin coating provides antifouling protection.
Angelika Banaś +6 more
wiley +1 more source
Two Novel Cloud-Masking Algorithms Tested in a Tropical Forest Setting Using High-Resolution NICFI-Planet Basemaps. [PDF]
Islam KMA, Abir S, Kennedy R.
europepmc +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source

