An intelligent deep feature based metabolism syndrome prediction system for sleep disorder diseases
PR Anisha, C Kishor Kumar Reddy… - Multimedia Tools and …, 2024 - Springer
Abstract The Obstructive Sleep Apnea (OSA) analysis and prediction is the hottest topic in
the medical healthcare industry. However, identifying the sleep disorder and its Severity is …
the medical healthcare industry. However, identifying the sleep disorder and its Severity is …
Optimised stacked machine learning algorithms for genomics and genetics disorder detection in the healthcare industry
With recent advances in precision medicine and healthcare computing, there is an
enormous demand for developing machine learning algorithms in genomics to enhance the …
enormous demand for developing machine learning algorithms in genomics to enhance the …
Exploring the Potential of Secure Signature Verification by employing a Trio Integrated Approach using GAN, Kernelized Biohashing and BiLSTM
In the realm of digital authentication, the security and accuracy of signature verification
systems are paramount. This paper proposes a new approach for signature verification that …
systems are paramount. This paper proposes a new approach for signature verification that …
DPCIPI: A pre-trained deep learning model for predicting cross-immunity between drifted strains of Influenza A/H3N2
Y Du, Z Li, Q He, TW Tulu, KHK Chan, L Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Predicting cross-immunity between viral strains is vital for public health surveillance and
vaccine development. Traditional neural network methods, such as BiLSTM, could be …
vaccine development. Traditional neural network methods, such as BiLSTM, could be …