Recent substantial advances in high-throughput field phenotyping have provided plant
breeders with affordable and efficient tools for evaluating a large number of genotypes for …

Abstract As Chronic Kidney Disease progresses slowly, early detection and effective
treatment are the only cure to reduce the mortality rate. Machine learning techniques are …

The credit scoring has been regarded as a critical topic and its related departments make
efforts to collect huge amount of data to avoid wrong decision. An effective classificatory …

This study evaluates and compares the performance of different machine learning
techniques on predicting the individuals at risk of developing hypertension, and who are …

F-score is a simple feature selection technique, however, it works only for two classes. This
paper proposes a novel feature ranking method based on Fisher discriminate analysis …

Cytologic screening has been widely used for detecting the cervical cancers. In this study, a
semiautomatic PC-based cellular image analysis system was developed for segmenting …

The incidence, prevalence, and progression of chronic kidney disease (CKD) conditions
have evolved over time, especially in countries that have varied social determinants of …

In this paper, a novel cardiac sound spectral analysis method using the normalized
autoregressive power spectral density (NAR-PSD) curve with the support vector machine …

Liver disease is one of the leading causes of mortality in India, as it is in rest of the world.
This paper presents a survey on intelligent techniques applied to liver disorders between the …

Data-driven fault diagnosis is more suitable than model-based methods for diagnosing the
complicated spacecraft systems, eg, the satellite power system, because of its simplicity and …