The rich spectral information provided by hyperspectral imaging has made this technology
very useful in the classification of remotely sensed data. However, classification of …

Foodborne pathogens such as Bacillus cereus, Staphylococcus aureus, and Escherichia
coli are major causes of gastrointestinal diseases worldwide and frequently contaminate …

Introduction NIR spectroscopy combined with chemometric algorithms has been widely used
for seed authenticity detection. However, the study of seed genetic distance, an internal …

In recent years, the data tends to be very large and complex and it becomes very difficult and
tedious to work with large datasets containing huge number of features. That's where …

Hyperspectral imaging (HSI) has been reported to produce promising results in the
classification of rice seeds. However, HSI data often require the use of dimensionality …

This paper presents a new training algorithm that can update the situation of layers' network,
and therefore, connections, neurons, and firing rate of neurons based on FORCE (first-order …

Analyzing and understanding emotion can help in various aspects, such as realizing one's
attitude, behavior, etc. By understanding one's emotions, one's mental health state can be …

Linear Discriminant Analysis is a less commonly applied dimensionality reduction technique
in cancer data classification. This could be due to the inability of LDA to achieve good …

Hyperspectral data contains rich spectral information and so have become very useful in
data classification. However, hyperspectral data contains several spectral bands (usually in …

A potential drawback of huge data is that it makes analysis of the data hard and also
computationally infeasible. Health care, finance, retail, and education are a few of the data …