This book constitutes the proceedings of the Second refereed proceedings of the Second International Conference on Data Science and Artificial Intelligence, DSAI 2024, held in Medan, Indonesia, during November 13-15, 2024.
The 18 full papers, 2 short papers and 3 invited talks were included in this book were carefully reviewed and selected from 69 submissions. They are organized in the following topical sections: Keynote Presentations; Natural and Sign Language Processing; Applications of Data Science and Artificial Intelligence; Affective Computing and AI Games; Embedded AI and Applications; Data Science; AI and Healthcare.
Table of Contents:
.- Keynote Presentations.
.- Towards Automated Artificial Intelligence via Automated Algorithm Selection (Keynote talk).
.- Recent Advances in Graph Neural Networks: Concepts, Applications, and Future Directions (Keynote talk).
.- Empowering Proactive Data Mining Strategies through Generative AI (Invited talk).
.- Natural and Sign Language Processing.
.- An Automatic Document Validation System in the Platform Merdeka Mengajar by using Word Embeddings and Supervised Classification Models.
.- Dysarthric Speech Recognition System with Life-Long Learning Technique in Taiwanese Mandarin.
.- Multi-document Summarization in Medical Literature using PICO-Masking Approach.
.- Performance of the Sign Language Recognition System Using the Long Short-Term Memory Network Algorithm.
.- Applications of Data Science and Artificial Intelligence.
.- Navigating Free Online IT Courses: A Study of Completion in open.uom.lk.
.- AI-Driven Prompt Templates for User Acceptance Test Case Generation.
.- Assessing the Efficiency of Collective Decisions in Corporate Context.
.- Scalable Procedural Content Generation via Transfer Reinforcement Learning.
.- Affective Computing and AI Games.
.- Challenges of Open World Games for AI: Insights from Human Gameplay.
.- The Impact of AI Avatar Appearance and Disclosure on User Motivation.
.- Cost-Sensitive Ensemble Learning Framework for EEG based Emotion Recognition.
.- Embedded AI and Applications.
.- Decentor: The Rise of Intelligent Edge Devices.
.- IA&AI: Analysis of CPU Cache-Interference in embedded AI Applications.
.- Enhancing Automotive Products with TinyML and MEMS Sensors: a Preliminary Approach.
.- Data Science.
.- Strategic Impression Management: Pre-Announcement Social Media Discourse and Market Reactions to Data Breach Announcements.
.- Enhancing Classification Accuracy on Sparse Datasets Using a Modified Hybrid RBF-BP Network Classifier and the Sample Generation Method .
.- AI and Healthcare.
.- Comparative Analysis of Liver Disease Classification using Ensemble Learning and Feature Selection.
.- Unveiling Societal Health Patterns: A Study of Physical Activity, Chronic Diseases, and Depression Symptoms in Europe.
.- A Comparative Analysis of Machine Learning Algorithms to Predict Dengue Shock Syndrome.
.- The Role of Machine Learning in Obesity Prediction: A Study on the Effectiveness of Different Approaches.
