ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri +8 more
wiley +1 more source
Adversarial training for dynamics matching in coarse-grained models. [PDF]
J Chem PhysWang Y, Voth GA.
europepmc +1 more source
Log Sequence Anomaly Detection Method Based on Contrastive Adversarial Training and Dual Feature Extraction. [PDF]
Entropy (Basel), 2021 Wang Q, Zhang X, Wang X, Cao Z.
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AI‐based localization of the epileptogenic zone using intracranial EEG
Epilepsia Open, EarlyView.Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Robust Deep Active Learning via Distance-Measured Data Mixing and Adversarial Training. [PDF]
Entropy (Basel)Song S, Wang X, Dong S, Jiang J.
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Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images. [PDF]
IEEE Trans Med Imaging, 2021 Gao M, Fessler JA, Chan HP.
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Energy Science &Engineering, EarlyView.The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe +3 more
wiley +1 more source
GAN‐LSTM‐3D: An efficient method for lung tumour 3D reconstruction enhanced by attention‐based LSTM
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Three‐dimensional (3D) image reconstruction of tumours can visualise their structures with precision and high resolution. In this article, GAN‐LSTM‐3D method is proposed for 3D reconstruction of lung cancer tumours from 2D CT images. Our method consists of three phases: lung segmentation, tumour segmentation, and tumour 3D reconstruction. Lung
Lu Hong +12 more
wiley +1 more source
An incremental adversarial training method enables timeliness and rapid new knowledge acquisition. [PDF]
Sci RepGe Y, Dong Y, Sun H, Liu Y, Wang C.
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Adversarial Attack and Defence through Adversarial Training and Feature Fusion for Diabetic Retinopathy Recognition. [PDF]
Sensors (Basel), 2021 Lal S +7 more
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