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Comparison of FairMOT-VGG16 and MCMOT Implementation for Multi-Object Tracking and Gender Detection on Mall CCTV
The crowd detection system on CCTV has proven to be useful for retail owners in mall areas where data can be used as a guide by owners to find out the number of visitors who enter at a certain time.
However, such information was still insufficient.…
However, such information was still insufficient.…
COVIWD: COVID-19 Wikidata Dashboard
COVID-19 (short for coronavirus disease 2019) is an emerging infectious disease that has had a tremendous impact on our daily lives. Globally, there have been over 95 million cases of COVID-19 and 2 million deaths across 191 countries and regions.…
Reducing Adversarial Vulnerability through Adaptive Training Batch Size
Neural networks possess an ability to generalize well to data distribution, to an extent that they are capable of fitting to a randomly labeled data. But they are also known to be extremely sensitive to adversarial examples. Batch Normalization…
Automatic Image Self-Enhancement for Multi-Scale Spectral Residual on Low-Resolution Video
Multi-Scale Spectral Residual technique is used to reduce the search area in an image. However, this technique relies on image salience from the capture device. The aim of this study is to obtain a better search area with image enhancement to detect…
Pleural Effusion Classification Based on Chest X-Ray Images using Convolutional Neural Network
Pleural effusion is an abnormal lung condition characterized by a buildup of fluid between the two layers of the pleura, which causes specific symptoms such as chest pain and shortness of breath. In Indonesia, pleural effusion cases alone account for…
Sarcasm Detection Engine for Twitter Sentiment Analysis using Textual and Emoji Feature
Twitter is a social media platform used to express sentiments about events, topics, individuals, and
groups. Sentiments in Tweets can be classified as positive or negative expressions. However, the
sentiment is an expression that is the opposite…
groups. Sentiments in Tweets can be classified as positive or negative expressions. However, the
sentiment is an expression that is the opposite…
SENTIMENT ANALYSIS ON E-SPORTS FOR EDUCATION CURRICULUM USING NAIVE BAYES AND SUPPORT VECTOR MACHINE
The development of e-sports education is not just playing games, but about start making, development, marketing, research and other forms education aimed at training skills and providing
knowledge in fostering character. The opinions expressed by…
knowledge in fostering character. The opinions expressed by…
SPAMMER DETECTION BASED ON ACCOUNT, TWEET, AND COMMUNITY ACTIVITY ON TWITTER
Spammers are the activities of users who abuse Twitter to spread spam. Spammers imitate legitimate user behavior patterns to avoid being detected by spam detectors. Spammers create lots of fake accounts and collaborate with each other to form…
MACHINE LEARNING FOR DATA CLASSIFICATION IN INDONESIA REGIONAL ELECTIONS BASED ON POLITICAL PARTIES SUPPORT
In this paper, we discuss the implementation of Machine Learning (ML) to predict the victory of
candidates in Regional Elections in Indonesia based on data taken from General Election Commission
(KPU). The data consist of composition of political…
candidates in Regional Elections in Indonesia based on data taken from General Election Commission
(KPU). The data consist of composition of political…