Results 51 to 60 of about 28,537 (309)

Pierceable, Water‐Resistant, and Transparent Nanofilm Electrodes Comprising Carbon Nanotubes for Long‐Term Monitoring of Plant Electrophysiology

Advanced Science, EarlyView.
Ultra‐flexible electrodes composed of single‐walled carbon nanotubes on a polymeric substrate exhibit excellent transparency, water resistance, and conformability to hairy surfaces. These non‐invasive nanofilms are easily pierced by trichomes, overcoming the structural barriers in plant electrophysiology.
Yusuke Hori, Tatsuhiro Horii, Shinji Masuda, Toshinori Fujie   +3 more
wiley   +1 more source

Conceptualising quality early childhood education: Learning from young children in Brazil and South Africa through creative and play‐based methods

British Educational Research Journal, EarlyView., 2023
Abstract Early childhood has increasingly been acknowledged as a vital time for all children. Inclusive and quality education is part of the United Nations Sustainable Development Goals, with the further specification that all children have access to quality pre‐primary education.
Laura H. V. Wright, Irene Rizzini, Malibongwe Gwele, Lynn McNair, Cristina Laclette Porto, Marsha Orgill, E. Kay M. Tisdall, Malcolm Bush, Linda Biersteker   +8 more
wiley   +1 more source

Differential Privacy Preservation in Robust Continual Learning

IEEE Access, 2022
Enhancing the privacy of machine learning (ML) algorithms has become crucial with the presence of different types of attacks on AI applications. Continual learning (CL) is a branch of ML with the aim of learning a set of knowledge sequentially and ...
Ahmad Hassanpour, Majid Moradikia, Bian Yang, Ahmed Abdelhadi, Christoph Busch, Julian Fierrez   +5 more
doaj   +1 more source

Continual Learning for Image Segmentation with Dynamic Query [PDF]

, 2023
Weijia Wu, Yuzhong Zhao, Zhuang Li, Lianlei Shan, Hong Zhou, Mike Zheng Shou   +5 more
openalex   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Recent Advances in Sustainable Single‐Atom Catalysts from Biomass and Solid Waste: Design, Synthesis and Applications

Advanced Science, EarlyView.
Biomass‐ and solid waste‐derived sustainable single‐atom catalysts (Sus‐SACs) provide a cost‐effective and renewable approach to catalyst design. This review summarizes precursor selection, including AI‐assisted screening, synthesis strategies with emphasis on ultrafast methods, and advanced characterization techniques.
Hongzhe He, Yuhang Qiu, Ruoqun Zhang, Sasha Yang, Jingwei Wang, Jianglong Yu, Lian Zhang, Ning Chen, Baiqian Dai   +8 more
wiley   +1 more source

Enhancing Generative Class Incremental Learning Performance With a Model Forgetting Approach

IEEE Open Journal of Signal Processing
This study presents a novel approach to Generative Class Incremental Learning (GCIL) by introducing the forgetting mechanism, aimed at dynamically managing class information for better adaptation to streaming data.
Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama   +4 more
doaj   +1 more source

Embedded Continual Learning for High-Energy Physics [PDF]

EPJ Web of Conferences
Neural Networks (NN) are often trained offline on large datasets and deployed on specialised hardware for inference, with a strict separation between training and inference.
Barbone Marco, Brown Christopher, Gaydadjiev Georgi, Maguire Thomas, Mieskolainen Mikael, Radburn-Smith Benjamin, Luk Wayne, Tapper Alexander   +7 more
doaj   +1 more source

Continual Unsupervised Representation Learning

, 2019
NeurIPS ...
Rao, D, Visin, F, Rusu, AA, Teh, YW, Pascanu, R, Hadsell, R   +5 more
openaire   +3 more sources

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source