A new optimization algorithm called Hybrid Sine-Cosine Algorithm with Differential Evolution
algorithm (Hybrid SCA-DE) is proposed in this paper for solving optimization problems and …

Background A massive amount of proteomic data is generated on a daily basis, nonetheless
annotating all sequences is costly and often unfeasible. As a countermeasure, machine …

Annually, millions of hectares of forest lands around the world are destroyed by fires. To
minimize the fire-caused losses, more studies on the risk prediction of forest fires need to be …

abstract Gene function prediction is used to assign biological or biochemical functions to
genes, which continues to be a challenging problem in modern biology. Genes may exhibit …

Hierarchical binary classifiers are often used for multiclass problems when the number of
classes is significantly more. The hierarchical structure suffers from a decrease in detection …

Multi-label data widely exist in the real world, and the multi-label learning deals with the
problem in which samples contain many labels. The main task of the multi-label learning is …

Bi-level programming problem (BLPP) is an optimization problem consists of two
interconnected hierarchical optimization problems. Solving BLPP is one of the hardest tasks …

Hierarchical multi-label classification (HMC) deals with the problem of assigning each entity
to multiple classes with a taxonomic structure (eg, tree). Within this structure, classes at …

In a rapidly changing digital world, the rise of cyberbullying has become a pressing issue
that calls for creative and flexible solutions to detect and prevent it. To address this urgent …

Digital signage is an important outdoor advertising medium in cities. However, advertising
on digital signage often lacks pertinence. Thus, it is important to introduce an accurate digital …