Results 201 to 210 of about 609,384 (298)
A study of traveling wave solutions and modulation instability in the (3+1)-dimensional Sakovich equation employing advanced analytical techniques. [PDF]
Ahmad J+5 more
europepmc +1 more source
CoRoFR: Community Detection of Feature Graph Improves Feature Selection Using Robust Fuzzy Rough Set
In machine learning, features often function as communities in many tasks, especially in medicine. However, existing feature selection methods struggle to mine feature collaborations, which can boost predictive performance. Moreover, they are noise‐sensitive, leading to suboptimal feature selection and accuracy degradation.
Duanyang Feng+4 more
wiley +1 more source
The Reasonable Ineffectiveness of Mathematics in the Biological Sciences. [PDF]
Garte S, Marshall P, Kauffman S.
europepmc +1 more source
Mainstream Artificial Intelligence Technologies in Contemporary Ophthalmology
This review explores the latest artificial intelligence (AI) technologies in ophthalmology, focusing on four key data types: medical imaging, electronic health records, robotic‐assisted surgery, and genomics. It examines the structural features, use cases, clinical goals, and evaluation metrics of various AI algorithms, while also introducing emerging ...
Shiqi Yin+9 more
wiley +1 more source
Dynamic of a pest management system with hibernation of pests and impulsive nonlinear release of natural enemies. [PDF]
Sun H, Jiao J, Dai X, Wu L.
europepmc +1 more source
A compressed sensing (CS)‐based feature selection method is proposed to select the most informative elements in the radiomic features extracted from medical images of personalized ultra‐fractionated stereotactic adaptive treatment. The CS‐based approach is able to simplify the feature selection process and enhance the accuracy and robustness of a ...
Yajun Yu+3 more
wiley +1 more source