Published in ITM Web of Conferences
Early detection of cardiovascular disease symptoms is one of the hardest things for professionals to do. Cardiovascular disease comes in many forms, including stroke, congenital heart disease (CHD), peripheral artery disease (PAD), and coronary artery disease (CAD). Comparing several feature selection methods to accurately predict cardiovascular di...
Published in MATEC Web of Conferences
Anxiety, mental or emotional stress resulting from a challenging environment, significantly impacts well-being. Understanding and monitoring human stress levels are crucial for averting adverse outcomes. This study investigates stress detection through machine learning and deep learning algorithms, focusing on sleep-related behaviours. Six machine ...
Published in E3S Web of Conferences
Sentiment analysis is natural language processing (NLP) that uses text analysis to recognize and extract opinions in text. Analysis is used to convert unstructured information into more structured information, also to determine whether an object has a positive, negative, or neutral tendency, and is an effort to facilitate decision making for touris...
Published in Computer methods in biomechanics and biomedical engineering
Heart disease is one of the most dangerous diseases in the world. People with these diseases, most of them end up losing their lives. Therefore, machine learning algorithms have proven to be useful in this sense to help decision-making and prediction from the large amount of data generated by the healthcare sector. In this work, we have proposed a ...
Published in European Journal of Tourism, Hospitality and Recreation
The Cappadocia region is one of the most popular tourist destinations in Turkey, and its tourism sector has a significant share in the Turkish economy. In this study, we scraped TripAdvisor reviews of visitors of the Cappadocia region with the Python programming language and used them to analyse public sentiment using various supervised machine lea...
Genom litteratursökning och manuell datakompilering av sexualbrott mot barn, besvaras frågan “Vilka ord och fraser som förbrytare använder i konversationer är vanligt förekommande och kan användas som identifierande markörer av grooming?” och resulterade i en ordlista av könsord, sexuellt nedvärderande skällsord, och interjektioner som utrop, uppma...
Published in The Scientific Bulletin of Electrical Engineering Faculty
Dissolved Gas Analysis (DGA) continues to be widely recognized as a valuable method in recent times for the early identification of issues in oil-filled power transformers. It has gained extensive adoption as a primary approach for the early discovery of these issues, relying on the analysis of dissolved gases. This contributes to enhancing the dep...
Published in E3S Web of Conferences
This study aims to gain a deeper understanding of online student reviews regarding the learning process at a private university in Indonesia and to compare the effectiveness of several algorithms: Naive Bayes, K-NN, Decision Tree, and Indo-Bert. Traditional Sentiment Analysis methods can only analyze sentences as a whole, prompting this research to...
Published in BIO Web of Conferences
During the Covid-19 pandemic, students in Indonesia carried out bold learning from home as a social effort during the pandemic. This bold learning process is considered to be still less effective and efficient and has resulted in some students, especially students having homework during the brave learning period. This has an impact on the psycholog...
Published in Studies in health technology and informatics
Rheumatoid arthritis is a common disease which affects the joints of the wrist, fingers, feet and in the end the daily activities. Nowadays, gestures and virtual reality are used in many activities supporting recovery, games, learning as technology is present more and more in different fields. This paper presents results related to the grip movemen...
