@article{90ce948b5e68474baae745a4ba1579c7,
title = "DeepFert: An Intelligent Fertility Rate Prediction Approach for Men Based on Deep Learning Neural Networks",
abstract = "Men's fertility depends on their bodies making normal sperm and delivering them. Semen analysis has been the test of choice for assessing the male partner in an infertile couple using a single threshold value to distinguish 'abnormal' and 'normal' parameters.",
keywords = "deep learning, dwindled, Fertility, neural networks, spermatozoa",
author = "Shahid Naseem and Tariq Mahmood and Tanzila Saba and Alamri, \{Faten S.\} and Bahaj, \{Saeed Ali Omer\} and Hammad Ateeq and Umer Farooq",
note = "Publisher Copyright: {\textcopyright}gime issues might affect the semen morphology, quality, and spermatozoa, and also reduce the risks of fertility due to food regimen including glycemic content and limited intake of nutrients. Determination of the connotation between adjustable rA.",
year = "2023",
doi = "10.1109/ACCESS.2023.3290554",
language = "English",
volume = "11",
pages = "75006--75022",
journal = "IEEE Access",
issn = "2169-3536",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
}