Proceedings
| # | Title of the Talks | Page No | Download |
|---|---|---|---|
| 1 | Semi-Markov Models for Process Mining in Smart Homes Sally-McClean |
1 |  |
| 2 | A Multimodal Retrieval Augmented Generation Framework Using MedGemmafor Breast Cancer Diagnosis Elvis Twumasi |
3 | |
| 3 | Urine Metabolomic Profiling and Machine Learning in ASD Diagnosis Toward Precision Treatment Shula-Shazman |
4 | |
| 4 | Systemic Risk of Using AI-Generated Synthetic Data for Training and Testing of Autonomous Vehicles Qian Lu |
8 | |
| 5 | Congenital Heart Disease Classification Using Phonocardiograms A scalable Screening Tool for Diverse Environments Abdul Jabbar |
9 | |
| 6 | AI-Driven Wood Sorting Automating Quality Assessment with Computer Vision Julia Achatz |
10 | |
| 7 | Decoding synthetic news an interpretable multimodal framework for the classification of news articles in a novel news corpus Michael Schlee |
11 | |
| 8 | Graph-Based Clustering and Large Language Models for Scalable Summarization of Safety Reports in Manufacturing Environments Mattia Beretta |
15 | |
| 9 | The AI Revolution - and our Responsibility for the Future of Humans, Organizations and Machines Ing. Klaus Henning |
16 | |
| 10 | Challenges to AIML in Industry 40 applications Soumaya Yacout |
17 | |
| 11 | Internet of Robotic Things Intelligent Connectivity and PlatformsThe Autonomous Intelligent Nexus Internet of Robotic Things Embedding Edge AI, Connectivity, and Platforms Ovidiu Vermesan |
18 | |
| 12 | Using Machine Learning in Developing an Effective Metric Model for Measuring Customer Trust Satisfaction A Viewpoint of Australian Trustworthy Digital Society Granted Project Robert M. X. Wu |
19 | |
| 13 | A Deep Learning Feature Importance Test Framework for Integrating Informative High-dimensional Biomarkers to Improve Disease Outcome Prediction Baiming Zou |
21 | |
| 14 | Dynamic Customer Segmentation and Smart Campaign Recommendation System in Digital Wallets Ferhat Musa Uysal |
22 | |
| 15 | CalTrig A GUI-Based Machine Learning Platform for Accurate Ca Transient Detection and Visualization in Freely Moving Mice Yao-Ying Ma |
23 | |
| 16 | How to Create the Fastest Data Analysis Platform in the World Samvel Arustamov |
24 | |
| 17 | Predicting Antarctic Blizzards Using Hybrid Deep Learning Models on Meteorological Data V S SAMY |
25 | |
| 18 | Leftover Food Recognition Using Deep Learning Xiaoyan Dai |
27 | |
| 19 | Create distinctive databases of ancient languages and using acomputer vision model to accurately recognize and classify them Elaf A.Saeed |
- | |
| 20 | Knowledge-Infused in Transformers for Text Classification in Low-Resource Languages Muhammad Shahid Iqbal I Malik |
29 | |
| 21 | Gene signature for response prediction to immunotherapy in metastatic Renal Cell Carcinoma Grace S. Shieh |
30 | |
| 22 | Exploring potential circRNA biomarkers for cancers based on double-lineheterogeneous graph representation learning ZhenMei Wang |
31 | |
| 23 | Enhanced State of Charge Estimation for Lithium-Ion Batteries Using xLSTM Networks Florian Krebs |
32 | |
| 24 | Enhancing Deep Learning Models for Predicting Smoking Status Using Clinical Data in Patients with COPD Sehyun Cho |
33 | |
| 25 | AI and Medical Informatics applications in Healthcare Systems Sarah Allabun |
35 | |
| 26 | Beyond Cancer Detection An AI Framework for Multidimensional Risk Profiling onContrast-Enhanced Mammography Graziella di Grezia |
36 | |
| 27 | On predicting an NBA game outcome from halftime statistics Michail Tsagris |
38 | |
| 28 | Can we go on trusting AI Dietrich Brandt |
39 | |
| 29 | Artificial Intelligence Assisted Risk Prediction Models in Organ Transplantation Nithya Krishnan |
40 | |
| 30 | The Myth of the Linear Tech Career How Non-Traditional Paths Build Better Designers Richard Adesoye |
42 | |
| 31 | AI-supported Techn Tuch for Living a Good Life, a reality check by Habermas validity claims A brief orientation Marcel Koeleman |
43 | |
| 32 | Relevance and computational theory languages in designing AI solutions Pertti Saariluoma |
45 | |
| 33 | A Dataset for Multimodal Music Information Retrieval of Sotho-Tswana Musical Videos Osondu Oguike |
46 | |
| 34 | A Tutorial and Use Case Example of the eXtreme Gradient Boosting (XGBoost) Artificial Intelligence Algorithm for Drug Development Applications Jackson Burton |
47 | |
| 35 | Machine Learning for Real-time Detection of Complications during Neurosurgery David Miller |
48 | |
| 36 | Beating Bad-Actor AI Neil Johnson |
50 | |
| 37 | Leveraging AI Beings for Personalized Learning and Patient Engagement Marcos Sanchez-Gonzalez |
51 | |
| 38 | Static and Dynamic Connectionism Robert Worden |
52 | |
| 39 | E-life around us in Bangkok, Thailand Semi-Markov Models for Process Mining in Smart Homes Chutima Kitty Tongsaluay |
6 | |
| 40 | Predict, Personalise, Perform How Advanced Analytics is Transforming Customer Experience Sajal Kanti Howlader |
12 | |
