[HTML][HTML] Artificial intelligence and machine learning in ocular oncology, retinoblastoma (ArMOR): experience with a multiracial cohort
VS Vempuluru, R Viriyala, V Ayyagari, K Bakal… - Cancers, 2024 - mdpi.com
Simple Summary In the last decade, artificial intelligence and machine learning (AI/ML) have
been increasingly explored in the field of intraocular tumors. Retinoblastoma (RB) is the …
been increasingly explored in the field of intraocular tumors. Retinoblastoma (RB) is the …
Optimal wideband digital fractional-order differentiators using gradient based optimizer
In this paper, we propose a novel optimization approach to designing wideband infinite
impulse response (IIR) digital fractional order differentiators (DFODs) with improved …
impulse response (IIR) digital fractional order differentiators (DFODs) with improved …
A smoothing interval neural networks-based Caputo fractional-order gradient learning algorithm
Q Shao, Y Liu, R Wang, Y Liu - International Journal of Machine Learning …, 2024 - Springer
Smoothing interval neural networks (SINNs) are widely recognized for their effectiveness in
handling uncertain data across various domains. However, training SINNs using the integer …
handling uncertain data across various domains. However, training SINNs using the integer …
Enhancing breast cancer diagnosis using deep learning and gradient multi-verse optimizer: a robust biomedical data analysis approach
EL Yassine, SL Wang, MM Taresh, TAA Ali - PeerJ Computer Science, 2024 - peerj.com
Breast cancer (BC) is one of the most common causes of mortality among women. However,
early detection of BC can effectively improve the treatment outcomes. Computer-aided …
early detection of BC can effectively improve the treatment outcomes. Computer-aided …