Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
A major psychological problem that numerous new mothers experience is postpartum
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …
depression (PPD). A woman's capacity to care for herself and her child may be hampered by …
On leveraging self-supervised learning for accurate HCV genotyping
Hepatitis C virus (HCV) is a major global health concern, affecting millions of individuals
worldwide. While existing literature predominantly focuses on disease classification using …
worldwide. While existing literature predominantly focuses on disease classification using …
Research on potato (Solanum tuberosum L.) nitrogen nutrition diagnosis based on hyperspectral data
Z Tang, Y Xiang, W Zhang, X Wang, F Zhang… - Agronomy …, 2024 - Wiley Online Library
Reducing the overapplication of nitrogen fertilizers to potatoes (Solanum tuberosum L.) can
reduce production costs and their impact on the environment. One approach to produce …
reduce production costs and their impact on the environment. One approach to produce …
Improved Kepler Optimization Algorithm for enhanced feature selection in liver disease classification
Liver diseases represent a significant healthcare challenge, impacting millions globally and
posing complexities in diagnosis. To address this global health concern, this paper …
posing complexities in diagnosis. To address this global health concern, this paper …
Prediction of the classification of the pedestrian landing mechanism in pedestrian-vehicle collisions
T Zou, P Luo, Z Liu, X Yuan - Proceedings of the Institution of …, 2024 - journals.sagepub.com
To predict the classification of the pedestrian landing mechanism in pedestrian-vehicle
collisions, 1303 reconstructed real pedestrian-vehicle collision cases were selected, and …
collisions, 1303 reconstructed real pedestrian-vehicle collision cases were selected, and …
Ethical and Legal Considerations in Machine Learning: Promoting Responsible Data Use in Bioinformatics
Artificial intelligence (AI) poses a number of moral and legal challenges to modern
civilization. These include invasions of privacy, discrimination, and the function of human …
civilization. These include invasions of privacy, discrimination, and the function of human …
Exploration of Deep Learning and Transfer Learning Techniques in Bioinformatics
The blend of profound learning and more learning techniques has brought about a
worldview change in the creating subject of bioinformatics. The revolutionary environment …
worldview change in the creating subject of bioinformatics. The revolutionary environment …
Bridging Bytes and Biology-Advanced Learning and Bioinformatics in Innovative Drug Discovery
DN Dwivedi, G Mahanty, VN Dwivedi - Applying Machine Learning …, 2024 - igi-global.com
In this chapter, the authors explore the synergistic integration of advanced machine learning
techniques with bioinformatics to revolutionize drug discovery. This interdisciplinary …
techniques with bioinformatics to revolutionize drug discovery. This interdisciplinary …
Advanced Learning and Bioinformatics in Innovative Drug Discovery Towards Bridging Biology
YK Sharma, SK Shivthare, AG Chaure… - … Learning and Privacy …, 2024 - igi-global.com
Modern bioinformatics and artificial intelligence technologies are coming together to
transform the process of developing pharmaceuticals, marking the beginning of an entirely …
transform the process of developing pharmaceuticals, marking the beginning of an entirely …
A Comparative Analysis of Federated Learning and Privacy-Preserving Techniques in Healthcare AI
AI might conduct screening and assessment in the event that medical expertise is lacking in
a setting with limited resources. Because algorithms are involved, even the most rapid AI …
a setting with limited resources. Because algorithms are involved, even the most rapid AI …