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Multilabel Hate Speech Classification in Indonesian Political Discourse on X using Combined Deep Learning Models with Considering Sentence Length
Hate speech, as public expression of hatred or offensive discourse targeting race, religion, gender, or sexual orientation, is widespread on social media.
Deep Image Deblurring for Non-Uniform Blur: a Comparative Study of Restormer and BANet
Image blur is one of the common degradations on an image. The blur that occurs on the captured images is sometimes non-uniform, with different levels of blur in different areas of the image. In recent years, most deblurring methods have been deep…
Classification of Clove Leaf Blister Blight Disease Severity Using Pre-trained Model VGG16, InceptionV3, and ResNet
Clove is one of the precious plants produced in Indonesia. Clove has many benefits for humans, but
clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight
Disease(CDC). The handling of CDC disease is…
clove cultivation often experiences problems due to disease attacks, including Leaf Blister Blight
Disease(CDC). The handling of CDC disease is…
An Alternative for Kernel SVM when Stacked with a Neural Network
Many studies stack SVM and neural network by utilzing SVM as an output layer of the neural network. However, those studies use kernel before the SVM which is unnecessary. In this study, we proposed an alternative to kernel SVM and proved why kernel…
Encoder-Decoder with Atrous Spatial Pyramid Pooling for Left Ventricle Segmentation in Echocardiography
Assessment of cardiac function using echocardiography is an essential and widely used method. Assessment by manually labeling the left ventricle area can generally be time-consuming, error-prone, and has interobserver variability. Thus, automatic…
Weld Defect Detection and Classification based on Deep Learning Method: A Review
The inspection of weld defects utilizing nondestructive testing techniques based on radiography is essential for ensuring the operability and safety of weld joints in metals or other materials. During the process of welding, weld defects such as…
TWEET CLASSIFICATION USING DEEP LEARNING ARCHITECTURE FOR CONCERT EVENT DETECTION
Twitter social media is used by millions of users to share stories about their lives. There are millions of
tweets sent by Twitter users in a short amount of time. These tweets can contain information about an incident, complaints from Twitter…
tweets sent by Twitter users in a short amount of time. These tweets can contain information about an incident, complaints from Twitter…
VISUAL RECOGNITION OF GRAPHICAL USER INTERFACE COMPONENTS USING DEEP LEARNING TECHNIQUE
Graphical User Interface (GUI) building in software development is a process which ideally need to go through several steps. Those steps in the process start from idea or rough sketch of the GUI, then refined into visual design, implemented in coding…
FULLY CONVOLUTIONAL VARIATIONAL AUTOENCODER FOR FEATURE EXTRACTION OF FIRE DETECTION SYSTEM
This paper proposes a fully convolutional variational autoencoder (VAE) for features extraction from a large-scale dataset of fire images. The dataset will be used to train the deep learning algorithm to detect fire and smoke. The features extraction…
TELKOMNIKA Telecommunication Computing Electronics and Control
Deep learning approach to DDoS attack with imbalanced data at the application layer
A distributed denial of service (DDoS) attack is where one or more computers
attack or target a server computer, by flooding internet traffic to the server.
As a result, the server cannot be accessed by legitimate users. A result of this
attack…
attack or target a server computer, by flooding internet traffic to the server.
As a result, the server cannot be accessed by legitimate users. A result of this
attack…