In the field of agricultural information, identification and prediction of rice leaf diseases has
always been a research focus. Deep learning and support vector machine (SVM) technology …

Linear Discriminant Analysis (LDA) is a very common technique for dimensionality reduction
problems as a preprocessing step for machine learning and pattern classification …

Vision tracking is a well-studied framework in vision computing. Developing a robust visual
tracking system is challenging because of the sudden change in object motion, cluttered …

Optimization algorithms are necessary to solve many problems such as parameter tuning.
Particle Swarm Optimization (PSO) is one of these optimization algorithms. The aim of PSO …

An accurate prediction of cardiac disease is a crucial task for medical and research
organizations. Cardiac patients are usually facing heart attacks sometimes tends to death …

In the design of reliable structures, the soil classification process is the first step, which
involves costly and time-consuming work including laboratory tests. Machine learning (ML) …

Image segmentation is a challenging process in numerous applications. Region growing is
one of the segmentation techniques as a basis for the Seeded Region Growing method. A …

In machine learning (ML) domain, extracted features play a primary role in both
segmentation and classification of salient/infected regions. Plants' diseases and pests are …

Background Plant diseases significantly affect the crop, so their identification is very
important. Correct identification of these diseases is crucial for establishing a good disease …

Because of its high clinical significance and varied modalities; magnetic resonance (MR)
imaging procedures are widely adopted in medical discipline to record the abnormalities …