Results 71 to 80 of about 201,968 (266)

Magnetic Textiles: A Review of Materials, Fabrication, Properties, and Applications

Advanced Materials Technologies, EarlyView.
Magnetic textiles (M‐textiles) are emerging as a programmable materials platform that merges magnetic matter with hierarchical textile structures. This article consolidates magnetic material classes, textile architectures, and fabrication and magnetization strategies, revealing structure–property–function relationships that govern magneto‐mechanical ...
Li Ke, Moses Kumi, Xiaoming Tao, Junhong Pu   +3 more
wiley   +1 more source

Federated Deep Learning with Bayesian Privacy

, 2021
Federated learning (FL) aims to protect data privacy by cooperatively learning a model without sharing private data among users. For Federated Learning of Deep Neural Network with billions of model parameters, existing privacy-preserving solutions are unsatisfactory.
Gu, Hanlin, Fan, Lixin, Li, Bowen, Kang, Yan, Yao, Yuan, Yang, Qiang   +5 more
openaire   +2 more sources

Blast Loading Prediction of Complex Structures Based on Bayesian Deep Active Learning

Applied Sciences
The prediction of blast loading for complex structures using deep learning requires extensive training data from field experiments or numerical simulations.
Meilin Pan, Weiwen Peng, Chunjiang Leng, Jiulu Qiu, Wei Zhong   +4 more
doaj   +1 more source

Multitrait machine‐ and deep‐learning models for genomic selection using spectral information in a wheat breeding program

The Plant Genome, 2021
Prediction of breeding values is central to plant breeding and has been revolutionized by the adoption of genomic selection (GS). Use of machine‐ and deep‐learning algorithms applied to complex traits in plants can improve prediction accuracies.
Karansher Sandhu, Shruti Sunil Patil, Michael Pumphrey, Arron Carter   +3 more
doaj   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Deep learning solutions for smart city challenges in urban development

Scientific Reports
In the realm of urban planning, the integration of deep learning technologies has emerged as a transformative force, promising to revolutionize the way cities are designed, managed, and optimized.
Pengjun Wu, Zhanzhi Zhang, Xueyi Peng, Ran Wang   +3 more
doaj   +1 more source

Maneuver strategy recognition technology for enemy combat aircraft based on Bayesian deep learning

Shenzhen Daxue xuebao. Ligong ban
Enhancing identification of enemy combat aircraft maneuver strategies is a critical factor in improving air combat decision-making capabilities. As traditional deep learning models often show overconfidence in complex and variable combat environment, and
YUAN Yinlong, ZHANG Sijie, CHENG Yun, HUA Liang   +3 more
doaj   +1 more source

Improving stroke diagnosis accuracy using hyperparameter optimized deep learning

IJAIN (International Journal of Advances in Intelligent Informatics), 2019
Stroke may cause death for anyone, including youngsters. One of the early stroke detection techniques is a Computerized Tomography (CT) scan. This research aimed to optimize hyperparameter in Deep Learning, Random Search and Bayesian Optimization for ...
Tessy Badriyah, Dimas Bagus Santoso, Iwan Syarif, Daisy Rahmania Syarif   +3 more
doaj   +1 more source

Multimodal Actuation and Environment Adaptive Strategies of Bio‐Inspired Micro/Nanorobots in Precision Medicine

Advanced Robotics Research, EarlyView.
An introduction for multidrive and environment‐adaptive micro/nanorobotics: design and fabrication strategies, intelligent actuation, and their applications. Various intelligent actuation approaches—magnetic, acoustic, optical, chemical, and biological—can be synergistically designed to enhance flexibility and adaptive behavior for precision medicine ...
Aiqing Ma, Han Gong, Jiacheng Ouyang, Liqi Chen, Tianfang Kang, Yiran He, Guojun Huang, Sidi Zheng, Ting Yin, Hong Pan, Lintao Cai   +10 more
wiley   +1 more source

Analytically Tractable Bayesian Deep Q-Learning

, 2021
Reinforcement learning (RL) has gained increasing interest since the demonstration it was able to reach human performance on video game benchmarks using deep Q-learning (DQN). The current consensus for training neural networks on such complex environments is to rely on gradient-based optimization.
Ha, Luong, Nguyen, Goulet, James-A.
openaire   +2 more sources