Results 101 to 110 of about 6,629,786 (241)
Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies
Advanced Materials, EarlyView.In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim +5 more
wiley +1 more source
Weakly Supervised Learning for Hedge Classification in Scientific Literature
, 2007 We investigate automatic classification of speculative language (‘hedging’), in biomedical text using weakly supervised machine learning. Our contributions include a precise description of the task with annotation guidelines, analysis and discussion, a ...
Ben Medlock
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Advanced Materials, EarlyView.Self‐invalidating multilayer physical unclonable functions (PUFs) integrate fingerprint‐like metal nanopattern bilayers from block copolymer templates with highly reactive reduced graphene oxide (rGO) interlayers. This tamper‐responsive architecture blocks all unauthorized physical and chemical replication attempts while autonomously deactivating ...
Gyu Hui Jo +7 more
wiley +1 more source
Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data
, 2010 In this paper, we present an overview of generalized expectation criteria (GE) , a simple, robust, scalable method for semi-supervised training using weakly-labeled data.
Mann, GS, McCallum, A
core +1 more source
Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate a large quantity of labeled data, which consumes a substantial amount of human and material ...
Jiajun Yang +5 more
doaj +1 more source
Advanced Materials Interfaces, EarlyView.This work critically reviews MXenes as highly effective multifunctional nanomaterials for the adsorption of radio‐contaminants, demonstrating a remarkable adsorption capacity of up to 1376.75 mg/g and cyclic stability of 2–8 cycles, with complexation, electrostatic interactions, and the numerical strength of MXene active sites playing a key operational
Stephen Sunday Emmanuel +1 more
wiley +1 more source
Advanced Materials Interfaces, EarlyView.A pyrenylated donor–acceptor probe exhibits environment‐dependent fluorescence governed by intramolecular charge transfer, restricted molecular motion, and supramolecular organization. Nonlinear regression accurately reconstructs fluorescence responses to viscosity, temperature, concentration, and pH, while correlated parameter maps reveal hidden ...
Harshal V. Barkale +2 more
wiley +1 more source
Scientific ReportsDeep learning enables the modelling of high-resolution histopathology whole-slide images (WSI). Weakly supervised learning of tile-level data is typically applied for tasks where labels only exist on the patient or WSI level (e.g.
Abhinav Sharma +2 more
doaj +1 more source
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
Large-margin weakly supervised dimensionality reduction [PDF]
, 2014 Copyright © (2014) by the International Machine Learning Society (IMLS) All rights reserved. This paper studies dimensionality reduction in a weakly supervised setting, in which the preference relationship between examples is indicated by weak cues.
Rui, Y, Xu, C, Tao, D
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