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Convolutional Neural Network approach for different leaf classification
No full textLink to publisher's homepage at https://amci.unimap.edu.my/There are millions of plant species with different shapes of a leaf. Those unfamiliar or outside the
field may have difficulty recognizing the plant based on leaf appearances. A system that can
provide an automatic response when a kind of leaf is exhibited may need to be developed. The
system should provide the name of the leaf and other related information according to the input
image. Therefore, in this paper, a research work on developing a system that can classify the leaf
types is performed. The Convolutional Neural Network (CNN) architecture is applied with the
help of TensorFlow for modeling the training data and testing. The classification accuracies are
evaluated and tested on the leaf datasets where the unknown leaf image is used as input, and the
name of the plant species belonging to the input image is classified as the system's output. The
assessment showsthat the trained model can achieve a performance accuracy of more than 95%,
which provides a promising system for the public to classify leaves and understand nature much
more deepl
Curvature comparison of Bézier curve, ball curve and trigonometric curve in preserving the positivity of real data
No full textLink to publisher's homepage at https://amci.unimap.edu.my/The curvature of a curve is important in designing roads, construction of smooth surfaces, or
grinding workpieces. Curvature is the tool to measure the smoothness of curves and surfaces.
Therefore, in this paper, the curvature profile of three functions will be compared where these
three functions also preserved the positivity of the data. These three functions are a rational
cubic Bézier curve, a rational cubic Ball curve, and a cubic trigonometric Bézier curve. Conditions
were imposed to preserve the positivity of the data and the results are presented. Then, the
curvature profile of the curves are compared and analysed. It was found that the interpolated
curve by cubic Bézier curve is the best among those three types of curves based on the lowest
amplitude value of curvature. However, for all three curves, the curvatures are not continuous
since the interpolated curves represent C1 continuity only
Depression detection based on twitter using NLP and sentiment analysis
No full textLink to publisher's homepage at https://amci.unimap.edu.my/Depression is the most common illness, serious disease, and underestimated by human beings. The serious depression will affect the emotion, physical condition, or cause suicide. Depression can be detected by reading their social media post. This research aims to develop a system that used to analyze the user depression status based on their social media post. This research will implement Recurrent Neural Network (RNN) model and Convolutional Neural Network (CNN) model in order to get the most accurate parameter for building the model and compare the accuracy of the prediction. The RNN (LSTM) 7-layer model are the most accuracy, precision, recall, F1 score of and less loss compare with other three model. The accuracy is 80.99%, F1 80.16%, and loss 45.0%. The RNN (LSTM) had selected 7-layer as the model in development the google chrome extension to perform the tweet sentiment analysis. The system will notify the user about their depression status; suggested to ask treatment with phycologist
