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TELKOMNIKA Telecommunication, Computing, Electronics and Control
Machine learning-based approaches for tomato pest classification
Insect pests are posing a significant threat to agricultural production. They live in different places like fruits, vegetables, flowers, and grains. It impacts
plant growth and causes damage to crop yields. We presented an automatic detection and…
plant growth and causes damage to crop yields. We presented an automatic detection and…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Similarity measurement on digital mammogram classification
Breast cancer is one of the dominant causes of death in the world.
Mammography is the standard for early detection of breast cancer.
In examining mammograms, the overall parenchyma pattern of the left and right breast was placed side by side for…
Mammography is the standard for early detection of breast cancer.
In examining mammograms, the overall parenchyma pattern of the left and right breast was placed side by side for…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Lung cancer classification based on CT scan image by applying FCM segmentation and neural network technique
The number of people with lung cancer has reached approximately 2.09
million people worldwide. Out of 9.06 million cases of death, 1.76 million
people die due to lung cancer. Lung cancer can be automatically identified
using a computer-aided…
million people worldwide. Out of 9.06 million cases of death, 1.76 million
people die due to lung cancer. Lung cancer can be automatically identified
using a computer-aided…
TELKOMNIKA Telecommunication, Computing, Electronics and Control
Application of neural network method for road crack detection
The study presents a road pavement crack detection system by extracting picture features then classifying them based on image features. The applied feature extraction method is the gray level co-occurrence matrices (GLCM). This method employs two…