In a rapidly transforming world, farm data is growing exponentially. Realizing the importance
of this data, researchers are looking for new solutions to analyse this data and make farming …

With the rapid growth in the amount of video data, efficient video indexing and retrieval
methods have become one of the most critical challenges in multimedia management. For …

RNA-Seq data are utilized for biological applications and decision making for the
classification of genes. A lot of works in recent time are focused on reducing the dimension …

Malaria is the world's leading cause of death, spread by Anopheles mosquitoes. Gene
expression is a fundamental level where the effects of unseen vital revealing genes and …

In recent malaria research, the complexity of the disease has been explored using machine
learning models via blood smear images, environmental, and even RNA-Seq data …

This study has proposed a method for detecting turbulence, a primary factor that influences
safe aircraft operation. The number of observed turbulence events is limited, thereby …

Malaria larvae embrace unpredictable variable life periods as they spread across many
stratospheres of the mosquito vectors. There are transcriptomes of a thousand distinct …

With both light entrainment data (L/D) and free running data in the dark (D/D), Variable
Topology Ensemble Methods (VTENS) were used to reconstruct the entire genome-scale …

The digitalization era has brought digital documents with it, and the classification of
document images has become an important need as in classical text documents. Document …

ABSTRACT RNA-Seq data are utilized for biological applications and decision making for
classification of genes. Lots of work in recent time are focused on reducing the dimension of …