Results 71 to 80 of about 11,006,319 (257)
Contrastive Self-Supervised Learning for Sensor-Based Human Activity Recognition: A Review
IEEE AccessDeep learning models have achieved significant success in human activity recognition, particularly in assisted living and telemonitoring. However, training these models requires substantial amounts of labeled training data, which is time-consuming and ...
Hui Chen +6 more
doaj +1 more source
Fiber‐Based Wearable Electronics as Adaptive Biointerfaces for Healthcare Applications
Advanced Functional Materials, EarlyView.Fiber‐based wearable electronics have been extensively studied as adaptive healthcare biointerfaces. In this review, we classify and introduce fiber‐based systems according to biointerface design, conductive materials, transduction mechanisms, and healthcare applications, and provide a perspective on their translation toward reliable, continuous ...
Sangwoo Hong +5 more
wiley +1 more source
Generative self-supervised learning for seismic event classification [PDF]
Deep learning has been widely applied to seismic signal classification, predominantly through supervised learning, typically relying on large labeled datasets. However, since the process of labeling large volumes of seismic data by domain experts is time-
Stankovic, Lina +4 more
core
Efficient Self-Supervised Contrastive Learning with Representation Mixing
Self-Supervised Learning (SSL) has emerged as a powerful method for pre-training image and language models for downstream tasks. SSL does not require labeled data for learning large models, whose features can then be adapted with supervised learning for ...
Sharma, YK +4 more
core +1 more source
Global reconstruction of 3D flow field based on 2D local masked self-supervision
Kongqi donglixue xuebaoFlow field reconstruction is of great value in engineering applications such as super-resolution reconstruction and inversion of experimental fluid mechanics.
Zhixiang Xu, Xuesen Chu, Xuesen Chu
doaj +1 more source
Advanced Functional Materials, EarlyView.An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
Corrosion products classification using self-supervised learning
, 2022 Self-supervised learning has gained popularity in scenarios where large unlabeled datasets with very few annotations are available. Images from fields of medical, engineering rarely have annotations available due to limited expert availability.
bommanapally, vidya
core +1 more source
Advanced Functional Materials, EarlyView.Mask‐encoded UV exposure translates digital color information into pixel‐resolved structural‐color patterns in hydroxypropyl cellulose gels. Gaussian‐process‐guided calibration links UV processing conditions, wavelength, and mask opacity, enabling parallel fabrication of multicolor images in a single 10 s exposure.
Mengting Ye +8 more
wiley +1 more source
Mixture of Self-Supervised Learning
, 2023 Self-supervised learning is popular method because of its ability to learn features in images without using its labels and is able to overcome limited labeled datasets used in supervised learning.
Ruslim, Aristo Renaldo +2 more
core
Advanced Functional Materials, EarlyView.A degradable, skin‐conformal bioelectronic patch combines a starch‐dominated nanocomposite conductor with a gelatin substrate to enable sensitive strain sensing, high‐fidelity electrocardiography, electromyography, electrooculography, and machine‐learning‐assisted gesture control.
Ming Dong +10 more
wiley +1 more source