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Category:All Headlines World & Geopolitics Markets & Economy Tech & AI PoliticsSearch results for: "Deep learning approaches" (30 stories)

Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes

Lead StoryMedical Xpressgeneral

3d ago

Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes

<a href="https://news.google.com/rss/articles/CBMigwFBVV95cUxPYTgxeWwtT0YybWVSZHJYY09HaF9CWWVFSE1uVFZyVmpMMkxZYS0tdmVsUk5BcDRkOHU0Sjhjb2V6T0M0cFdKSVZRN3gzODdfTTVfaDBjUDJkVHAxWWwxMzhZUjhWXzd2TzM5TjJJejhZMVNFcVBMb3UxZ2RINWFaaFV1dw?oc=5" target="_blank">Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes</a>&nbsp;&nbsp;Medical Xpress

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Search Results for "Deep learning approaches"

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Deep Learning Approaches for Recognizing Human Activity using Sensor Data

Springer Nature Linkgeneral

Sep 25

Deep Learning Approaches for Recognizing Human Activity using Sensor Data

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTFBuUzMwb1QybDJQUE5LWTQxNU9CWEFSTndIY0pGTW03d284YnZaczFxVm9ZOVdDQkhZMXZRbHVHaDllYlJCY2tzc2Z0aFZHUVBLZG9iakVzOFJ5eWxJNmY3RUUwcWFaY1FmUTNVNw?oc=5" target="_blank">Deep Learning Approaches for Recognizing Human Activity using Sensor Data</a>&nbsp;&nbsp;Springer Nature Link

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Deep learning model using ECGs during sleep studies can predict cardiovascular outcomes

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Search Results for "Deep learning approaches"

Deep Learning Approaches for Recognizing Human Activity using Sensor Data

Recent advances in deep learning for leukemia diagnosis: a scoping review of diagnostic modalities and fusion-based approaches

Machine learning approaches in automated infant General Movements Assessment: A scoping review

Classifying mental stress from eye tracking data: deep learning approaches for out-of-the-lab conditions

Machine Learning Methods for Histopathological Image Analysis | Computational and Structural Biotechnology Journal

Deep-learning approach rapidly predicts where metals bind within proteins

Predicting Gestational Diabetes Using Machine Learning and Deep Learning Approaches in Python

Deep learning approach for art style recognition and colour restoration in visual art images

Emotion recognition from multimodal biosignals: supervised and unsupervised machine learning approaches based on EEG and GSR

Comparative evaluation of machine learning and deep learning approaches for compressive strength prediction of geopolymer concrete

Bilingual emotion recognition of social media texts using deep learning approach

Comparing machine learning and deep learning approaches to predicting the seismic response of slab-column connections

A deep learning approach for solving a fractional order Monkeypox transmission model using a harmonic neural network optimized with SGDM

An end-to-end hybrid deep-learning approach for single-shot wavefront sensing and correction

Rethinking the use of deep learning methods for photovoltaic power forecasting

Optimized CNN-based ensemble deep learning approach for potato leaf disease detection with data augmentation

Zero-shot traffic flow prediction with foundation models: a comparison with deep learning approaches

Optimizing multi-label image annotation: a hybrid CNN-Transformer deep learning approach

A deep learning approach for keratoconus detection using spatio-temporal features from corneal imaging

Machine learning approaches for resource management and forecasting in energy consumption systems

Predictive Modeling of Suicidal Ideation in US Veterans: PHQ-2 Versus Complex Machine Learning Approaches

Acute Ischemic Stroke Detection on Non-Contrast CT: A Deep Learning Approach

Deep Learning for Variant Calling: How DeepVariant and Neural Networks Are Improving Genomic Accuracy

Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?

A deep learning approach to county-level soybean yield forecasting using large-scale environmental data

Deep Learning Transforms Spatiotemporal Prediction: Reviewing Methods and Applications

A Deep Learning Approach to Ultra Reliable Low Latency Communications in 6G

10 Machine Learning Algorithms to Know in 2026

STRUMP-I: Structure-Based Machine Learning Approach to pMHC-I Binding Prediction Using Force Field Energy Features