Plant diseases are the major cause of low agricultural productivity. Mostly the farmers
encounter difficulties in controlling and detecting the plant diseases. Thus, early detection of …

In various types of geo-environmental problems in the fringing area of Chhotanagpur
plateau in India, gully erosion is one of the vulnerable issue. In our current research, using …

Now-a-days modern technology is used for health management and diagnostic strategy in
the health sector. Machine learning usually helps in decision making for health issues using …

The diabetes mellitus disease (DMD) commonly referred as diabetes is a significant public
health problem. Predicting the disease at the early stage can save the valuable human …

The main challenge in distributing electronic health records (EHRs) for patient-centered
research, market analysis, medicine investigation, healthcare data mining etc., is data …

Correct, fast and early detection of corn leave diseases and their prevention and control at
the earlier stages is profitable. To improve the detection accuracy of corn leaf diseases, a …

In recent years, Jaya optimization algorithm has been successfully applied in several
optimization problems. This paper presents a novel feature selection (FS) approach based …

Nowadays, Internet became a common way for communication as well as a key path for
business. Due to the rapid use of Internet, its security aspect is turn more important day by …

Breast cancer stands as one of the predominant health challenges globally, affecting
millions of women every year and necessitating early and accurate detection to optimize …

Medical disease classification using machine learning algorithms is a challenging task due
to the nature of data, which can contain incomplete, uncertain, and imprecise information …