Browse Items (19 total)
- Collection: Vol 6 No 3 (2022)
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Sybil Attack Prediction on Vehicle Network Using Deep Learning
Vehicular Ad Hoc Network (VANET) or vehicle network is a technology developed for autonomous vehicles in Intelligent
Transportation Systems (ITS). The communication system of VANET is using a wireless network that is potentially being
attacked.…
Transportation Systems (ITS). The communication system of VANET is using a wireless network that is potentially being
attacked.…
A Security Framework for Secure Host-to-Host Environments
Data security is an infrastructure designed to protect and secure data from unauthorized access, data manipulation,
malfunction, destruction, and inappropriate data disclosure. Currently, organizations widely use data transfer to validate and…
malfunction, destruction, and inappropriate data disclosure. Currently, organizations widely use data transfer to validate and…
The Formula Study in Determining the Best Number of Neurons in Neural
Network Backpropagation Architecture with Three Hidden Layers
The researchers conducted data simulation experiments, but they did so unstructured in determining the number of neurons in
the hidden layer in the Artificial Neural Network Back-Propagation architecture. The researchers also used a general…
the hidden layer in the Artificial Neural Network Back-Propagation architecture. The researchers also used a general…
Development of Mastoid Air Cell System Extraction Method on Temporal
CT-scan Image
Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone.
Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid…
Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid…
Implementation of the Conversational Hybrid Design Model to Improve
Usability in the FAQ
FAQ is an important part of a system because it is used to make it easier for users to solve problems faced by users. Some FAQ
systems have even started using Chatbot technology to make it easier for users. Chatbots have been widely used as a…
systems have even started using Chatbot technology to make it easier for users. Chatbots have been widely used as a…
The Accuracy Comparison Between Word2Vec and FastText On
Sentiment Analysis of Hotel Reviews
Word embedding vectorization is more efficient than Bag-of-Word in word vector size. Word embedding also overcomes the
loss of information related to sentence context, word order, and semantic relationships between words in sentences. Several…
loss of information related to sentence context, word order, and semantic relationships between words in sentences. Several…
Educational Data Mining Using Cluster Analysis Methods and Decision
Trees based on Log Mining
Higher education institutions store data keep growing every year. The data has important information, but it still not optimized
into knowledge. Data Mining (DM) can be used to process existing data in universities in order to obtain knowledge that…
into knowledge. Data Mining (DM) can be used to process existing data in universities in order to obtain knowledge that…
Implementation of Naïve Bayes for Fish Freshness Identification Based on
Image Processing
Consumption of fish as a food requirement for the fulfillment of community nutrition is increasing. This was followed by an
increase in the amount of fish caught that were sold at fish markets. Market managers must be concerned about the dispersion…
increase in the amount of fish caught that were sold at fish markets. Market managers must be concerned about the dispersion…
Content Based VGG16 Image Extraction Recommendation
Data transfer across numerous platforms has increased dramatically due to the enormous number of visitors or users of the
present e-commerce platform. With the rise of increasingly massive data, consumers are finding it challenging to obtain the…
present e-commerce platform. With the rise of increasingly massive data, consumers are finding it challenging to obtain the…
Segmentation of Small Objects in Satellite Imagery Using Dense U-Net in
Massachusetts Buildings Dataset
Class imbalance is a serious problem that disrupts the process of semantic segmentation of satellite imagery in urban areas in
Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently…
Earth remote sensing. Due to the large objects dominating the segmentation process, small object are consequently…