This paper investigates the performance and the detection accuracy of three popular open-source
intrusion detection systems: Snort, Suricata and Bro. We evaluate all systems using …

Dogs are one of the most common domestic animals. Due to a large number of dogs, there
are several issues such as population control, decrease outbreak such as Rabies, …

One of the key processes for converting handwriting images into digital texts is the character
segmentation. It is very challenge especially for the case of segmenting the hand-writing …

Dog breed identification is essential for many reasons, particularly for understanding individual
breeds’ conditions, health concerns, interaction behavior, and natural instinct. This paper …

Tongue and its movements can be used for several medical-related tasks, such as identifying
a disease and tracking a rehabilitation. To be able to focus on a tongue region, the tongue …

This paper proposes a solution of tongue segmentation in images. The solution relies on a
convolutional neural network, using deep U-Net with deep layers of encoder-decoder …

Existing solutions of animal identification (ie, cattle in this research project) are based on
RFID, ear tag, and microchip. However, they are facing with difficulties of high cost, dislodged …

After the mangosteen-harvest, it is necessary to process a grading assessment which contains
a key step of classifying a ripe status. This paper aims to develop an automatic solution to …

Diabetic retinopathy is a fatal disease that affects the majority of those who have diabetes
for a period of time. It could lead to a blindness in the end. Therefore, it is important to detect …

Similar to human biometrics such as faces and fingerprints, animals also have biometrics for
individual identifiers. This research paper works on biometrics of cattle using images of …