Results 121 to 130 of about 549,786 (309)

Label‐Free SERS Fingerprinting of Neuroprotein Conformational Dynamics in Human Saliva

open access: yesAdvanced Materials, EarlyView.
Galvanic molecular entrapment (GME) is a label‐free method for detecting and quantifying neuroprotein conformational states. This technique enables direct surface binding and in situ hotspot generation around molecules, effectively overcoming challenges related to target localization and mismatched hotspot geometries.
Muhammad Shalahuddin Al Ja'farawy   +10 more
wiley   +1 more source

Gated Self-supervised Learning for Improving Supervised Learning

open access: yes2024 IEEE Conference on Artificial Intelligence (CAI)
In past research on self-supervised learning for image classification, the use of rotation as an augmentation has been common. However, relying solely on rotation as a self-supervised transformation can limit the ability of the model to learn rich features from the data.
Fuadi, Erland Hilman   +3 more
openaire   +2 more sources

Science‐Towards‐Technology Breakthrough in CO2 Electroreduction: Multiphysics, Multiscale, and Artificial Intelligence Insights

open access: yesAdvanced Materials, EarlyView.
Electrochemical CO2RR is a key technology for converting CO2 into chemicals, but there remains a gap between “laboratory science” and “engineering practice” in current research. This review establishes a multi‐scale research framework, encompassing atomic‐level characterization, microenvironment regulation, external field‐assisted optimization, and AI ...
Ping Hong   +3 more
wiley   +1 more source

Self-Supervised Fast Adaptation for Denoising via Meta-Learning [PDF]

open access: green, 2020
Seunghwan Lee   +3 more
openalex   +1 more source

GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition [PDF]

open access: green, 2022
Yang Li   +9 more
openalex   +1 more source

Self-supervised video representation learning

open access: yes, 2022
Videos are an appealing source of data to train computer vision models. There exist almost infinite supplies of videos online, but exhaustive manual annotation is infeasible. The goal of this thesis is to learn strong video representations efficiently via self-supervised learning: a method that learns from the data rather than human annotations.
openaire   +2 more sources

Rewriting Polymer Fate via Chemomechanical Coupling

open access: yesAdvanced Materials, EarlyView.
This work introduces a life‐like “living” polymer platform that can grow, degrow, and reprogram its properties after fabrication. By integrating mass transport, reversible polymerization, and controlled catalysis, the material achieves on‐demand changes in size, shape, and mechanical properties.
Jiahe Huang   +9 more
wiley   +1 more source

Self‐supervised multi‐view clustering in computer vision: A survey

open access: yesIET Computer Vision
In recent years, multi‐view clustering (MVC) has had significant implications in the fields of cross‐modal representation learning and data‐driven decision‐making.
Jiatai Wang   +5 more
doaj   +1 more source

Self-Supervised Attentive Feature Learning for Alzheimer’s Disease Detection

open access: yesInternational Journal of Interactive Multimedia and Artificial Intelligence
Alzheimer’s disease (AD) is a progressive neurodegenerative disorder that leads to memory loss and a decline in cognitive abilities. It primarily affects older adults and is the most common cause of dementia.
Hela Elmannai   +3 more
doaj   +1 more source

Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning [PDF]

open access: green, 2022
Ryota Yoshihashi   +5 more
openalex   +1 more source

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