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 …

ABSTRACT Introduction The application of Artificial Intelligence (AI) to predictive toxicology
is rapidly increasing, particularly aiming to develop non-testing methods that effectively …

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 …

With widespread usage of online social networks and its popularity, social networking
platforms have given us incalculable opportunities than ever before, and its benefits are …

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 today's digital world, healthcare is one of the core areas in the medical domain. A
healthcare system is required to analyze a large amount of patient data, which helps to …

Plant sicknesses are the significant reason for low agrarian profitability. For the most part the
farmers experience troubles in controlling and identifying the plant infections. Accordingly …

Enormous growth of data in biomedical engineering domain has posed a big challenge for
data analysis and processing. This massive volume of biomedical data leverage leads to a …

The concept of workflows was implemented to mitigate the complexities involved in tasks
related to scientific computing and business analytics. With time, they have found …