AI feed
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convolutional neural
6 articles mention this topic.
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03 Aug 2026
Forecasting realized volatility with the implied volatility surface: an image-based approach - Risk.net
... deep learning models is developed. We use convolutional neural networks (CNNs) to extract RV predictive factors from the IV matrices at three ...
www.risk.net ↗ -
01 Aug 2026
Research on inspiratory muscle training action recognition based on passive RFID tags and ...
... deep learning model. This system employs a CNN-LSTM-AM (convolutional neural network–long short-term memory–attention mechanism) architecture to ...
www.ebsco.com ↗ -
01 Aug 2026
Can Ai Detect Skin Cancer? Exploring The Accuracy, Technology, And Future Of Ai Driven ...
Specifically, researchers utilize Convolutional Neural Networks (CNNs). These are a type of deep learning architecture designed to process pixel data.
as.com ↗ -
31 Jul 2026
A comparative study of pre-trained and non-pretrained hybrid CNN-LSTM models | PLOS One
This study explores the potential of artificial intelligence (AI) using a hybrid deep learning Convolutional Neural Network–Long Short-Term Memory ( ...
journals.plos.org ↗ -
31 Jul 2026
A cross-domain deep learning framework for remaining useful life prediction in industrial applications
This paper presents a cross-domain deep learning framework based on a hybrid Convolutional Neural Network–Bidirectional Long Short-Term Memory (CNN– ...
journals.plos.org ↗ -
31 Jul 2026
A hybrid deep learning and quantum computing framework enhances cybersecurity threat ... - Nature
While traditional deep learning, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), is effective for detecting ...
www.nature.com ↗
Where this comes from
AI Alerts — Google
https://www.google.co.in/alerts/feeds/05832220720342067762/8510459957…
Deep Learning - Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
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