Face age classification based on a deep hybrid model
Sign Up to like & getrecommendations! Published in 2018 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-018-1309-6
Abstract: Face age estimation, a computer vision task facing numerous challenges due to its potential applications in identity authentication, human–computer interface, video retrieval and robot vision, has been attracting increasing attention. In recent years, the deep… read more here.
Keywords: age; age classification; face age; face ... See more keywords
A deep hybrid learning model for customer repurchase behavior
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Retailing and Consumer Services"
DOI: 10.1016/j.jretconser.2020.102381
Abstract: Abstract Smartphones have become an integral part of our daily lives, which has led to the rapid growth of the smartphone market. As the global smartphone market tends to remain stable, retaining existing customers has… read more here.
Keywords: customer repurchase; customer; hybrid learning; repurchase behavior ... See more keywords
Automated Detection of Diabetes From Exhaled Human Breath Using Deep Hybrid Architecture
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3278278
Abstract: In this paper, we have proposed an automated medical system for detecting type 2 diabetes from exhaled breath. Human breath can be used as a diagnostic sample for detecting many diseases as it contains many… read more here.
Keywords: deep hybrid; breath; automated detection; detection ... See more keywords
Deep Hybrid Similarity Learning for Person Re-Identification
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2017.2734740
Abstract: Person re-identification (Re-ID) aims to match person images captured from two non-overlapping cameras. In this paper, a deep hybrid similarity learning (DHSL) method for person Re-ID based on a convolution neural network (CNN) is proposed.… read more here.
Keywords: person identification; similarity; similarity learning; person ... See more keywords
A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology
Sign Up to like & getrecommendations! Published in 2022 at "PLoS ONE"
DOI: 10.1371/journal.pone.0261181
Abstract: Nuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyze the malignant potential of cancer cells. Considering the structural alteration of the nucleus in cancer cells, various groups have… read more here.
Keywords: cancer; morphology; ovarian cancer; deep hybrid ... See more keywords
Deep Hybrid Learning Prediction of Patient-Specific Quality Assurance in Radiotherapy: Implementation in Clinical Routine
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13050943
Abstract: Background: Arc therapy allows for better dose deposition conformation, but the radiotherapy plans (RT plans) are more complex, requiring patient-specific pre-treatment quality assurance (QA). In turn, pre-treatment QA adds to the workload. The objective of… read more here.
Keywords: patient specific; quality assurance; radiotherapy; deep hybrid ... See more keywords