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hybrid
11 articles mention this topic.
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05 Aug 2026
Development and evaluation of a hybrid clinical and deep-learning ECG model for ... - Nature
We developed and internally evaluated clinical, deep-learning electrocardiographic, and hybrid models for IHCA prediction in a retrospective, single- ...
www.nature.com ↗ -
04 Aug 2026
WiMi Explores Federated Training Framework for Hybrid Quantum-Classical Machine ...
... deep learning models. Federated learning uses a distributed training mechanism of "data stationary, model moving" to allow local nodes to share ...
www.prnewswire.com ↗ -
03 Aug 2026
Retraction: Research on anomaly detection and operational status evaluation methods for ...
Retraction: Research on anomaly detection and operational status evaluation methods for smart electricity meters based on hybrid deep learning. The ...
journals.plos.org ↗ -
03 Aug 2026
Day-ahead solar forecasting improved for energy sector by up to 13% - Tech Xplore
The work appears in the Journal of Cleaner Production. Publication details. Yen-Hsi Chou et al, A hybrid machine learning framework for enhanced day- ...
techxplore.com ↗ -
03 Aug 2026
Innovation, Research & Smart Cities: August 2026 Funding Opportunities (24 new ... - Impact Funding
... machine learning and AI at the core. Google runs the ten-week hybrid ... 28DIGITAL, formerly EIT Digital, opens its Co-Creation Accelerator Programme to ...
impactfunding.substack.com ↗ -
02 Aug 2026
A hybrid K-Means–KNN approach for real-time plastic type identification using NIR spectroscopy
Multiple machine learning models were evaluated, and the best-performing methods were combined to improve classification performance. The system was ...
link.springer.com ↗ -
02 Aug 2026
Blockchain-enabled hybrid mamba-transformer framework for secure intrusion detection in ...
Deep learning is imperative with blockchain, as it makes sure that the 6G systems have smart and dynamic security systems. Deep learning algorithms ...
www.sciencedirect.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 Generative Agent-Based Model of Nonviolent Resistance with Large ... - UMass Dartmouth
To address these limitations, this thesis presents a hybrid generative agent-based model that integrates large language models to guide the decision- ...
www.umassd.edu ↗ -
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 ↗
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Deep Learning - Google
https://www.google.co.in/alerts/feeds/05832220720342067762/1643871049…
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