Data Science and Artificial Intelligence
Description
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.
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Content
.- 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.
