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Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Prediction of child nutritional status using deep neural networks: A cross-sectional study of Egypt DHS data (2005-2014). [PDF]

Medicine (Baltimore)
Hendy A, Ibrahim RK, Abdelaliem SMF, Sultan HM, Sinnokrot SM, Al-Ma'ani M, Alzahrani B, Ali WH, Alshammari AM, Hendy A.   +9 more
europepmc   +1 more source

Transfer learning with multiomics integration and deep neural networks reveals drug resistance mechanisms in cancer. [PDF]

Sci Rep
Alpsoy S, Sezerman OU.
europepmc   +1 more source

Erratum: Strategies to include prior knowledge in omics analysis with deep neural networks. [PDF]

Patterns (N Y)
Thapa K, Kinali M, Pei S, Luna A, Babur Ö.   +4 more
europepmc   +1 more source

Applying Reinforcement Learning to Protect Deep Neural Networks from Soft Errors. [PDF]

Sensors (Basel)
Su P, Li Y, Lu Z, Chen D.
europepmc   +1 more source

Performance evaluation of reduced complexity deep neural networks. [PDF]

PLoS One
Agha S, Nazir S, Kaleem M, Najeeb F, Talat R.   +4 more
europepmc   +1 more source

Interpreting Deep Neural Networks in Diabetic Retinopathy Grading: A Comparison with Human Decision Criteria. [PDF]

Life (Basel)
Biswas S, Khan MAA, Ali MH, Rohdin J, Pramanik S, Khan MIA, Chakravarty SK, Pramanik BK.   +7 more
europepmc   +1 more source

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Deep Neural Network Retrieval

Proceedings of the 29th ACM International Conference on Multimedia, 2021
With the rapid development of deep learning-based techniques, the general public can use a lot of "machine learning as a service" (MLaaS), which provides end-to-end machine learning solutions. Taking the image classification task as an example, users only need to update their dataset and labels to MLaaS without requiring the specific knowledge of ...
Nan Zhong, Zhenxing Qian, Xinpeng Zhang 0001   +2 more
openaire   +1 more source

Deep Morphological Neural Networks

International Journal of Pattern Recognition and Artificial Intelligence, 2022
Mathematical morphology intends to extract object features such as geometric and topological structures in digital images. Given a set of target images and original images, it is cumbersome and time-consuming to determine the suitable morphological operations and structuring elements. In this paper, we propose deep morphological neural networks, which
Yucong Shen, Frank Y. Shih, Xin Zhong, I-Cheng Chang   +3 more
openaire   +1 more source

Convergence of deep convolutional neural networks

Neural Networks, 2022
arXiv admin note: text overlap with arXiv:2107 ...
Haizhang Zhang
exaly   +5 more sources