Three Years of VoiceMOS Challenges: Lessons Learned by the UWB-NTIS-TTS Team by Marie Kunesova, Jindrich Matousek, Jan Lehecka, Jan Svec, Daniel Tihelka, Zdenek Hanzlicek

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Learning Analytics to Guide Serious Game Development: A Case Study Using Articoding by Antonio Calvo-Morata, Cristina Alonso-Fernández, Julio Santilario-Berthilier, Iván Martínez-Ortiz, Baltasar Fernández-Manjón

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ArtStroke-GAN: A Unified Framework for Interpreting Watercolor Aesthetics via Personalized Stroke-Based Graphic Language by Laixi Zheng

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MediScan: A Framework of U-Health and Prognostic AI Assessment on Medical Imaging by Sibtain Syed, Rehan Ahmed, Arshad Iqbal, Naveed Ahmad, Mohammed Ali Alshara

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Blended Phonetic Training with HVPT Features for EFL Children: Effects on L2 Perception and Listening Comprehension by KyungA Lee, Hyunkee Ahn

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Large language models generating synthetic clinical datasets: a feasibility and comparative analysis with real-world perioperative data by Austin A. Barr, Joshua Quan, Eddie Guo, Emre Sezgin, Emre Sezgin

“…Recent advances in large language models (LLMs) provide an opportunity to generate synthetic data with reduced reliance on domain expertise, computational resources, and pre-training.ObjectiveThis study aims to assess the feasibility of generating realistic tabular clinical data with OpenAI’s GPT-4o using zero-shot prompting, and evaluate the fidelity of LLM-generated data by comparing its statistical properties to the Vital Signs DataBase (VitalDB), a real-world open-source perioperative dataset.MethodsIn Phase 1, GPT-4o was prompted to generate a dataset with qualitative descriptions of 13 clinical parameters. …”
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Evaluating Holistic Education and Digital Learning model for advancing SDG4: a longitudinal mixed-effects modeling approach by Prema Nedungadi, Radhika Menon, Georg Gutjahr, Raghu Raman

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AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference by Mohamed H. Shahin, Prashant Desai, Nadia Terranova, Yuanfang Guan, Tomáš Helikar, Sebastian Lobentanzer, Qi Liu, James Lu, Subha Madhavan, Gary Mo, Flora T. Musuamba, Jagdeep T. Podichetty, Jie Shen, Lei Xie, Mathew Wiens, Cynthia J. Musante

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Development of an Artificial Intelligence-Based Text Sentiment Analysis System for Evaluating Learning Engagement Levels in STEAM Education by Chih-Hung Wu, Kang-Lin Peng

“…It explores how sentiment analysis can measure emotional, cognitive, and behavioral involvement in learning. We developed an AI-based text sentiment analysis system to assess learning engagement, integrating speech recognition, natural language processing techniques, keyword analysis, and text sentiment analysis. …”
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A hybrid rule-based NLP and machine learning approach for PII detection and anonymization in financial documents by Kushagra Mishra, Harsh Pagare, Kanhaiya Sharma

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Hybrid Transformer-Based Large Language Models for Word Sense Disambiguation in the Low-Resource Sesotho sa Leboa Language by Hlaudi Daniel Masethe, Mosima Anna Masethe, Sunday O. Ojo, Pius A. Owolawi, Fausto Giunchiglia

“…Additionally, the performance of baseline and improved machine learning models for a sequence-based natural language processing (NLP) task was assessed and compared. …”
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Novel Sentiment Majority Voting Classifier and Transfer Learning-Based Feature Engineering for Sentiment Analysis of Deepfake Tweets by Madiha Khalid, Ali Raza, Faizan Younas, Furqan Rustam, Monica Gracia Villar, Imran Ashraf, Adnan Akhtar

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EquiRank: Improved protein-protein interface quality estimation using protein language-model-informed equivariant graph neural networks by Md Hossain Shuvo, Debswapna Bhattacharya

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MindLift: AI-powered mental health assessment for students by Shanky Goyal, RishiRaj Dutta, Saurabh Dev, Kola Narasimha Raju, Mohammed Wasim Bhatt

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An Empirically Validated Framework for Automated and Personalized Residential Energy-Management Integrating Large Language Models and the Internet of Energy by Vinícius Pereira Gonçalves, Andre Luiz Marques Serrano, Gabriel Arquelau Pimenta Rodrigues, Matheus Noschang de Oliveira, Rodolfo Ipolito Meneguette, Guilherme Dantas Bispo, Maria Gabriela Mendonça Peixoto, Geraldo Pereira Rocha Filho

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An automated predictive model for evaluating narrative cohesion in children’s stories: a computational linguistic approach considering Gérard Genette’s narrative structure theory... by Jawharah Alasmari, Mohammed Alzyoudi, Masheal Alshehri, Rana Alshammari, Reyouf Aldakan

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AI-based teaching evaluations: How well do they reflect student perceptions? by Yossi Ben Zion, Shir Yakov, Einat Abramovitch, Gal Balter, Nitza Davidovitch

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A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols by Ahmed Reda Aldysty, Nour Moustafa, Erandi Lakshika

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Optimizing AI-Driven EdTech Solutions for Enhanced English Learning: A TOPSIS Approach by Liu Yang, Lu Li, Li Wang

“…This research demonstrates how AI has advanced in education from simple computer-assisted language learning to complex AI-driven platforms like chatbots and intelligent systems for teaching. …”
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Mapping the learning curves of deep learning networks. by Yanru Jiang, Rick Dale

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