Results 131 to 140 of about 16,769 (297)
Advanced Materials Technologies, EarlyView.Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi +3 more
wiley +1 more source
Weakly Supervised Learning on Large Graphs
CoRRGraph classification plays a pivotal role in various domains, including pathology, where images can be represented as graphs. In this domain, images can be represented as graphs, where nodes might represent individual nuclei, and edges capture the spatial or functional relationships between them.
openaire +2 more sources
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Advanced Materials Technologies, EarlyView.A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
Beyond Learning on Molecules by Weakly Supervising on Molecules
CoRRMolecular representations are inherently task-dependent, yet most pre-trained molecular encoders are not. Task conditioning promises representations that reorganize based on task descriptions, but existing approaches rely on expensive labeled data. We show that weak supervision on programmatically derived molecular motifs is sufficient.
Gordan Prastalo, Kevin Maik Jablonka
openaire +2 more sources
Advanced Materials Technologies, EarlyView.Extrusion‐based bioprinting (EBB) has emerged as a versatile biofabrication platform capable of precisely depositing bioinks composed of biomaterials, cells, and bioactive agents to generate patient‐specific, biomimetic skin constructs. This paper presents a state‐of‐the‐art and forward‐looking overview of EBB for wound healing, encompassing printing ...
Hien‐Phuong Le +4 more
wiley +1 more source
Spatio-Temporal Capsule Networks for Weakly Supervised Surveillance Video Anomaly Detection
Applied SciencesReal surveillance systems require weakly supervised video anomaly detection due to the fact that long untrimmed videos do not always have accurate temporal labels. Models will be required to label a video as normal or abnormal and also to identify sparse
Mohammed Iqbal Dohan Almurumudhe +1 more
doaj +1 more source
Spheroid‐On‐A‐Drop: A Modular Droplet Microfluidics Platform
Advanced Materials Technologies, EarlyView.The proposed Spheroid‐on‐a‐Drop platform represents a reproducible and tunable platform for the fabrication of biocompatible GelMA‐based microgels, able to support controlled 3D tumor spheroid culture. Its precise control over droplet dynamics and cell distribution paves the way for advanced applications in tissue modeling, drug screening, and ...
A. Fergola +8 more
wiley +1 more source
Weakly supervised instance segmentation by adversarial learning [PDF]
, 2019 Semantička segmentacija prirodnih scena je važan zadatak računalnog vida. Skup postupak pribavljanja oznaka na razini piksela potrebnih za nadzirani pristup semantičkoj segmentaciji je potaknuo razvoj slabo nadziranih pristupa.
Blažić, Katarina
core
GeSn Quantum Wells for Room‐Temperature Mid‐Infrared Lasing on Si and on Insulator Platforms
Advanced Optical Materials, EarlyView.This work demonstrates a high‐performance GeSn‐on‐Insulator (GeSnOI) platform achieving laser emission up to room temperature. By utilizing Group IV GeSn quantum well heterostructures, we successfully reached a target wavelength of 3.3 µm. This advancement paves the way for fully integrated Mid‐IR photonic CMOS‐compatible sources, overcoming the ...
Antoine Meyer +10 more
wiley +1 more source
Weakly-supervised video visual knowledge learning [PDF]
, 2018 Learning video visual representation for detection has emerged as one of the fundamental problems toward general video understanding. It requires rich knowledge for spatial and/or temporal localization; however, manually collecting fully-supervised ...
Yuan, Yuan
core