Artificial intelligence (AI) holds significant promise for advancing natural disaster
management through the use of predictive models that analyze extensive datasets, identify …

Neural networks have been successfully employed in various domains such as
classification, regression and clustering, etc. Generally, the back propagation (BP) based …

Alzheimer's disease (AD) is a prominent neurodegenerative disorder, which leads to
memory loss and cognitive impairment. The progression is irreversible and shows atrophies …

Randomized shallow/deep neural networks with closed form solution avoid the
shortcomings that exist in the back propagation (BP) based trained neural networks …

Due to rapid climate change and man-made activities, the types of leaf diseases are
gradually increasing. As a result, taking the essential measures to recognize and diagnose …

Random vector functional link (RVFL) network has been successfully employed in diverse
domains such as computer vision and machine learning, due to its universal approximation …

Randomization-based neural networks have gained wide acceptance in the scientific
community owing to the simplicity of their algorithm and generalization capabilities. Random …

Randomized neural networks such as random vector functional link network have been
successfully employed in regression and classification problems. In real world, most of the …

Abstract Random Vector Functional Link (RVFL) is a widely used learning technique due to
its less computational complexity, fast learning speed, and ease of implementation …

A teacher in a school plays significant role in classroom while teaching the students.
Similarly, learning via privileged information (LUPI) gives extra information generated by a …