Results 71 to 80 of about 512,844 (338)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Analysis of dropout learning regarded as ensemble learning

, 2017
Deep learning is the state-of-the-art in fields such as visual object recognition and speech recognition. This learning uses a large number of layers, huge number of units, and connections. Therefore, overfitting is a serious problem.
A Krizhevsky, CM Bishop, D Saad, GE Hinton, K Hara, M Biehl, S Wager, Y LeCun   +7 more
core   +1 more source

Dropout Attacks

2024 IEEE Symposium on Security and Privacy (SP)
Dropout is a common operator in deep learning, aiming to prevent overfitting by randomly dropping neurons during training. This paper introduces a new family of poisoning attacks against neural networks named DROPOUTATTACK. DROPOUTATTACK attacks the dropout operator by manipulating the selection of neurons to drop instead of selecting them uniformly at
Andrew Yuan, Alina Oprea, Cheng Tan
openaire   +2 more sources

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

家庭結構對子女學校中輟行為的影響：一個後設分析研究 Disentangle the Effects of Family Structure on Kids Dropping out of School – A Meta-Analytical Study

臺灣教育社會學研究, 2009
本研究採用後設分析的方法，試圖回答「家庭結構在子女中途輟學歷程中是否扮演了重要而獨特的角色？」此一問題。搜尋了多個國內外期刊論文索引資料庫後，我們共計蒐集了41篇採用邏輯迴歸方法分析中輟預測變項的研究，並登錄了71個模型分析結果，再就其中14個獨立的資料源（包含超過343,789名獨立樣本）所得到的15個分析結果進行後設分析。研究結果顯示，家庭結構對於中輟的影響，並非來自社經地位變項的外溢效果，而是有其獨特的影響力。此外，家庭結構對於中輟的影響似乎也非由學童學業成就所中介。研究者認為 ...
章勝傑 Simon Chang, 林烘煜 Hung-Yu Lin   +1 more
doaj  

Higher Education Research on the Issue of Dropout

Central European Journal of Educational Research, 2019
Book review on Pusztai, G., Szigeti, F. (eds.): Dropout and Persistence in Higher Education. Debrecen University Press, University of Debrecen, 2018.
Zsolt Kristóf
doaj   +1 more source

Therapeutic Relationship and Dropout in High-Risk Adolescents’ Intensive Group Psychotherapeutic Programme

Frontiers in Psychology, 2020
ObjectiveDropout rates are a prominent problem in youth psychotherapy. An important determinant of dropouts is the quality of the therapeutic relationship.
Kirsten Hauber, Kirsten Hauber, Albert Boon, Albert Boon, Robert Vermeiren, Robert Vermeiren   +5 more
doaj   +1 more source

Predicting dropout of male perpetrators from the Cognitive Self Change [PDF]

, 2009
This study aims to use pre-treatment assessment scores to predict the dropout of 103 incarcerated male violent perpetrators undertaking a long term aggression programme, namely the Cognitive Self Change Programme (CSCP), in six English prisons.
Beech, Anthony, Dixon, Louise, Stokes, Hayley   +2 more
core  

Accounting for dropout reason in longitudinal studies with nonignorable dropout [PDF]

Statistical Methods in Medical Research, 2015
Dropout is a common problem in longitudinal cohort studies and clinical trials, often raising concerns of nonignorable dropout. Selection, frailty, and mixture models have been proposed to account for potentially nonignorable missingness by relating the longitudinal outcome to time of dropout.
Camille M, Moore, Samantha, MaWhinney, Jeri E, Forster, Nichole E, Carlson, Amanda, Allshouse, Xinshuo, Wang, Jean-Pierre, Routy, Brian, Conway, Elizabeth, Connick   +8 more
openaire   +2 more sources