Development of different machine learning ensemble classifier for gully erosion susceptibility in Gandheswari Watershed of West Bengal, India
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 …
plateau in India, gully erosion is one of the vulnerable issue. In our current research, using …
Maize leaf disease detection and classification using machine learning algorithms
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 …
encounter difficulties in controlling and detecting the plant diseases. Thus, early detection of …
Performance evaluation of different machine learning methods and deep-learning based convolutional neural network for health decision making
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 health sector. Machine learning usually helps in decision making for health issues using …
Blockchain in healthcare: Challenges and solutions
The main challenge in distributing electronic health records (EHRs) for patient-centered
research, market analysis, medicine investigation, healthcare data mining etc., is data …
research, market analysis, medicine investigation, healthcare data mining etc., is data …
Classification of diabetes mellitus disease (DMD): a data mining (DM) approach
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 …
health problem. Predicting the disease at the early stage can save the valuable human …
[HTML][HTML] Medical disease analysis using neuro-fuzzy with feature extraction model for classification
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 …
to the nature of data, which can contain incomplete, uncertain, and imprecise information …
Classification of intrusion detection using data mining techniques
R Sahani, Shatabdinalini, C Rout… - Progress in Computing …, 2018 - Springer
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 …
business. Due to the rapid use of Internet, its security aspect is turn more important day by …
Intelligence-based health recommendation system using big data analytics
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 …
healthcare system is required to analyze a large amount of patient data, which helps to …
A cnn approach for corn leaves disease detection to support digital agricultural system
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 …
the earlier stages is profitable. To improve the detection accuracy of corn leaf diseases, a …
[HTML][HTML] A Jaya algorithm based wrapper method for optimal feature selection in supervised classification
In recent years, Jaya optimization algorithm has been successfully applied in several
optimization problems. This paper presents a novel feature selection (FS) approach based …
optimization problems. This paper presents a novel feature selection (FS) approach based …