The images captured by the cameras contain distortions, misclassified pixels, uncertainties
and poor contrast. Therefore, the multi-focus image fusion (MFIF) integrates various input …

With the exponential growth of computational power and the availability of large-scale
datasets in recent years, remarkable advancements have been made in the field of artificial …

Manufacturing downtime due to faults is costly and disruptive. With the increasing availability
of real-time data in modern Smart Manufacturing (SM) environments, effective anomaly …

Parkinson's disease (PD) is a chronic neurodegenerative illness that affects the brain and
central nervous system, leading to issues with pain, mobility, mood, and sleep. Early and …

Over the last decade, there has been a considerable increase in the popularity of online
education. As a result, the online learning or e-learning industry has flourished, providing …

Parkinson's disease (PD) manifests as a loss of dopamine-producing cells present in the
substantia nigra region of the brain's central nervous system (CNS). The proposed model …

Symbolic interval data analysis (SIDA) has been successfully applied in a wide range of
fields, including finance, engineering, and environmental science, making it a valuable tool …

Unsupervised image segmentation is a technique that divides an image into distinct regions
or objects without prior labeling. This approach offers flexibility and adaptability to various …

The problem for the localization, detection, and separation of any LCD panel defects is
nontrivial and crucial for the LCD manufacturing industry. This study presents an automatic …

Medical image segmentation is a critical task in medical image analysis, and clustering
algorithms can be utilized to achieve this goal. This research work focuses on the …