Nature-inspired metaheuristic algorithms have gained great attention over the last decade
due to their potential for finding optimal solutions to different optimization problems. In this …

Remote sensing image object detection is widely used in civil and military fields. The
important task is to detect objects such as ships, planes, airports, harbours and so on, and …

The mathematical modelling and optimization of nonlinear problems arising in diversified
engineering applications is an area of great interest. The Hammerstein structure is widely …

Abstract Mangrove forests in West Asia are pure and sparse to dense communities in
contact with high salinity. However, they have been rapidly declining during the previous two …

An immediate rescue condition known as a brain stroke is primarily brought on by
inadequate blood flow to the brain and the Cellular damage on a permanent scale is the …

An alternative to human expert-performed manual identification is automatic detection of
epilepsy using electroencephalogram (EEG) data. Automatic epilepsy detection from EEG …

Growth of malignant tumors in the breast results in breast cancer. It is a cause of death of
many women across the world. As a part of treatment, a woman might have to go through …

Single-view height estimation and semantic segmentation have received increasing
attention in recent years and play an important role in the photogrammetry and remote …

Land use and land cover segmentation and classification from hyperspectral image is
significant in many land use inventories. Though several techniques have been proposed …

Forecasting precipitation is a prominent topic of study in meteorology. Predictions of
precipitation using statistical analysis, learning methods are only a few of the methods that …