Image processing technology has always been a hot and difficult topic in the field of artificial
intelligence. With the rise and development of machine learning and deep learning …

Microgrids are small-scale grids with distributed energy sources, conventional generation
systems, energy storage systems and loads, which can be operated either off-grid or …

Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered
environmental pollutants that are a threat to ecology and human health. Predicting SW …

During the last decades, the healthcare area has increasingly relied on medical imaging for
the diagnosis of a growing number of pathologies. The different types of medical images are …

Cardiovascular disease (CVD) remains the primary reason for illness and death throughout
the world despite tremendous progress in diagnosis and treatment. Artificial intelligence (AI) …

In brain magnetic resonance (MR) image segmentation, the current Otsu method is often
difficult to take both accuracy and anti-noise capability into consideration. So, in this paper …

Purpose: Although classical techniques for image segmentation may work well for some
images, they may perform poorly or not work at all for others. It often depends on the …

As a popular optimization, particle swarm optimization has attracted many researcher's
attention and also been successfully applied to solve many real world problems. As …

Pancreatic cancer is the fourth leading cause of cancer-related death worldwide. Pancreatic
tumours are characterised by a peculiar cell progression in intestinal enzymes and hormone …

Numerous studies have explored different techniques for segmenting breast cancer images,
in particular deep learning-based Computer-Aided Diagnosis (CAD) has recently netted …