Hybrid deep learning assisted multi classification: Grading of malignant thyroid nodules
Sign Up to like & getrecommendations! Published in 2024 at "International Journal for Numerical Methods in Biomedical Engineering"
DOI: 10.1002/cnm.3824
Abstract: Thyroid nodules are commonly diagnosed with ultrasonography, which includes internal characteristics, varying looks, and hazy boundaries, making it challenging for a clinician to differentiate between malignant and benign forms based only on visual identification. The… read more here.
Keywords: classification; deep learning; malignant thyroid; thyroid nodules ... See more keywords
Early Prediction and Risk Analysis Using Hybrid Deep Learning Techniques in Multimodal Biomedical Image
Sign Up to like & getrecommendations! Published in 2025 at "Developmental Neurobiology"
DOI: 10.1002/dneu.23001
Abstract: Medical imaging plays a pivotal role in diagnosing and treating various health conditions, especially in early‐stage cancer detection. Despite advancements in imaging techniques, the complexity and variability of multimodal medical images, such as MRI and… read more here.
Keywords: deep learning; cancer; image; risk ... See more keywords
Hybrid deep convolutional neural models for iris image recognition
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11482-y
Abstract: This paper briefly explains about the application of deep learning-based methods for biometric applications. This work attempts to solve the problem of limited availability of datasets which affects accuracy of the classifiers. This paper explores… read more here.
Keywords: hybrid deep; network; deep learning; convolutional neural ... See more keywords
Optimization and prediction of AZ91D stellite-6 coated magnesium alloy using Box Behnken design and hybrid deep belief network
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Materials Research and Technology"
DOI: 10.1016/j.jmrt.2021.09.069
Abstract: Abstract Nowadays, the utilization of magnesium (Mg) alloys is increased due to its various beneficial characters such as better thermal conductivity, minimum density, less weight, superior strength, good dimensional, stability nature, etc. They are used… read more here.
Keywords: hybrid deep; behnken design; box behnken; deep belief ... See more keywords
A hybrid deep learning model of process-build interactions in additive manufacturing
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.11.001
Abstract: Abstract Laser powder bed fusion (LPBF) is a technique of additive manufacturing (AM) that is often used to construct a metal object layer-by-layer. The quality of AM builds depends to a great extent on the… read more here.
Keywords: hybrid deep; learning; process; model ... See more keywords
Blind image deblurring via hybrid deep priors modeling
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.01.004
Abstract: Abstract Blind image deblurring is a challenging low-level vision problem which aims to restore a sharp image only from the blurry observation. Few known information makes this problem fundamentally ill-posed. Most recent works focus on… read more here.
Keywords: hybrid deep; image; deep priors; latent image ... See more keywords
A hybrid deep learning network for automatic diagnosis of cardiac arrhythmia based on 12-lead ECG
Sign Up to like & getrecommendations! Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-75531-w
Abstract: Cardiac arrhythmias are the leading cause of death and pose a huge health and economic burden globally. Electrocardiography (ECG) is an effective technique for the diagnosis of cardiovascular diseases because of its noninvasive and cost-effective… read more here.
Keywords: deep learning; diagnosis; ecg; hybrid deep ... See more keywords
A hybrid deep learning and rule-based model for smart weather forecasting and crop recommendation using satellite imagery
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-21506-4
Abstract: The effective management of meteorological forecasting data is crucial for enhancing agricultural sustainability and precision, especially considering climate change. This study presents an innovative framework that integrates multispectral image analysis, advanced weather forecasting, and rule-based… read more here.
Keywords: weather forecasting; weather; crop; rule based ... See more keywords
Hybrid deep learning CNN-LSTM model for forecasting direct normal irradiance: a study on solar potential in Ghardaia, Algeria
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94239-z
Abstract: This paper provides an in-depth analysis and performance evaluation of four Solar Radiance (SR) prediction models. The prediction is ensured for a period ranging from a few hours to several days of the year. These… read more here.
Keywords: deep learning; cnn lstm; hybrid deep; model ... See more keywords
Identification of Freeway Traffic Congestion From Social Media Using a Hybrid Deep Learning Method: A Case Study
Sign Up to like & getrecommendations! Published in 2025 at "IET Intelligent Transport Systems"
DOI: 10.1049/itr2.70103
Abstract: The massive real‐time data shared by Internet users provides a potentially rich resource for detecting traffic congestion. Targeting China's predominant social network platform, ‘Sina Weibo’, this paper proposes a hybrid deep learning method to mine… read more here.
Keywords: congestion; traffic congestion; method; hybrid deep ... See more keywords
An optimal hybrid deep learning-aided facial emotion detection and classification scheme to identify criminal activities
Sign Up to like & getrecommendations! Published in 2025 at "Automatika"
DOI: 10.1080/00051144.2025.2560147
Abstract: In general, the most significant field of research presently is the identification & recognition of facial expressions or emotions. Moreover, recognition and categorization of face emotion are vital in several areas of research like criminal… read more here.
Keywords: deep learning; criminal activities; emotion; recognition ... See more keywords