Results 141 to 150 of about 549,786 (309)

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

A Weakly Supervised and Self-Supervised Learning Approach for Semantic Segmentation of Land Cover in Satellite Images with National Forest Inventory Data

open access: yesRemote Sensing
National Forest Inventories (NFIs) provide valuable land cover (LC) information but often lack spatial continuity and an adequate update frequency. Satellite-based remote sensing offers a viable alternative, employing machine learning to extract thematic
Daniel Moraes   +2 more
doaj   +1 more source

High‐Throughput Screening of REBCO Superconducting Thin Films Fabricated Via Combinatorial Inkjet Printing and TLAG Process

open access: yesAdvanced Materials Technologies, EarlyView.
A methodological framework is presented for combinatorial REBCO thin films fabricated by drop‐on‐demand inkjet printing with controlled Rare Earth composition gradients. Automated, synchrotron‐based, and local characterization techniques produce comprehensive property maps that correlate composition and TLAG process parameters with superconducting ...
Emma Ghiara   +15 more
wiley   +1 more source

Exploring internal representations of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects

open access: yesFrontiers in Computational Neuroscience
Recent advances in self-supervised learning have attracted significant attention from both machine learning and neuroscience. This is primarily because self-supervised methods do not require annotated supervisory information, making them applicable to ...
Asaki Kataoka   +2 more
doaj   +1 more source

Federated self-supervised learning

open access: yes
Federated learning (FL) has garnered significant attention from both research and industrial communities due to its distinctive ability to facilitate collaborative learning from large-scale datasets without compromising users’ data privacy. However, current FL practices predominantly focus on supervised learning tasks, necessitating the availability of
openaire   +1 more source

Hydrogel‐Based Functional Materials: Classifications, Properties, and Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Conductive hydrogels have emerged as promising materials for smart wearable devices due to their outstanding flexibility, multifunctionality, and biocompatibility. This review systematically summarizes recent progress in their design strategies, focusing on monomer systems and conductive components, and highlights key multifunctional properties such as
Zeyu Zhang, Zao Cheng, Patrizio Raffa
wiley   +1 more source

Self-supervised audio representation learning for mobile devices [PDF]

open access: green, 2019
Marco Tagliasacchi   +3 more
openalex   +1 more source

Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells [PDF]

open access: green, 2023
Rylan Schaeffer   +5 more
openalex   +1 more source

In Situ Copper Electroplating Turns Material Extrusion 3D Printers Into Metal–Polymer Hybrid Fabricators

open access: yesAdvanced Materials Technologies, EarlyView.
An in situ electroplating approach for MEX 3D printing is proposed, enabling copper deposition during the fabrication of conductive polymers. The method combines a printer‐integrated plating head, ML‐based g‐code control, and stop‐and‐go printing, achieving near‐bulk copper conductivity and enabling fully embedded, assembly‐free electronic components ...
Gianluca Percoco   +5 more
wiley   +1 more source

Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation [PDF]

open access: green, 2021
Ruizhe Cheng   +4 more
openalex   +1 more source

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