Applied Cognitive Computing and Artificial Intelligence
Description
This book constitutes the proceedings of the 27th International Conference on Artificial Intelligence, ICAI 2025, and the 9th International Conference on Applied Cognitive Computing, ACC 2025. They were held as part of the 2025 World Congress in Computer Science, Computer Engineering, and Applied Computing, CSCE 2025, which took place in Las Vegas, NV, USA, during July 21-24, 2025.
The ICAI 2025 Conference received a total of 293 submissions, of which 59 papers were accepted. The ACC 2025 Conference received 33 submissions, of which 6 papers were accepted. This volume includes 41 of the accepted papers from ICAI 2025 and ACC 2025.
The papers have been organized in topical sections as follows: Knowledge Engineering, Data Science, and Applications; Large Language Models (LLM) and Applications; Neural Networks, Convolutional Neural Networks (CNN), and Applications; XXV Technical Session on Applications of Advanced AI Techniques to Information Management for Solving Company-Related Problems; 9th International Conference on Applied Cognitive Computing; and Poster Research Papers.
More details
Other editions
Additional editions
Content
.- SECTION: KNOWLEDGE ENGINEERING, DATA SCIENCE, AND APPLICATIONS
.- Multi-task Parallelism for Robust Pre-training of Graph Foundation Models on Multi-source, Multi-fidelity Atomistic Modeling Data.
.- Explainable Feature Selection using Feature Weighted Self-Organising Maps.
.- Deep Learning-based Time-Series Prediction of Traffic Speed Using NPMRDS Dataset.
.- MoIST: Mixture of Intellectuals via Student-Teachers.
.- Modular AI-Powered Interviewer with Dynamic Question Generation and Expertise Profiling.
.- From Data to Insight: Using Support Vector Machines to Identify Key Poverty Determinants.
.- Improving Retail Sales Forecast Accuracy Using XGBoost: A Machine Learning Approach.
.- Assessing Applied Behavior Analysis Provider Effectiveness with Gradient Boosting.
.- Datasets for Hash-based Homomorphic AI with Variable Compression Rate.
.- From Data to Decision: Ethical Responses to Bias in AI Systems.
.- Labeling Data Using a Rule-Based Voting Ensemble, Fuzzy Sets, and Fuzzy Clustering.
.- A Real-World Dataset of Ingredient Images for Food Computing.
.- SECTION: LARGE LANGUAGE MODELS (LLM) AND APPLICATIONS
.- Performance of LLM-Generated Code.
.- Local Language Models for Context-Aware Adaptive Anonymization of Sensitive Text.
.- Does Embodiment Still Matter? Comparing User Experience With LLM-Powered Agents.
.- A Prompt-Based Framework for Loop Vulnerability Detection Using Local LLMs.
.- Preliminary Results of LLM Vulnerability Testing in Less Common Languages.
.- Prompt Engineering Approaches to Reducing the Costs in LLM-Based Automated Test Case Generation.
.- textAuthor, An AI-Based Text-Authorship Classifier.
.- Exploring Spam Classification with Open-Source Language Models and Real-World Gmail Data.
.- The Impact of Generative AI (ChatGPT) on Constructivist Learning Outcomes in Higher Education: A Mixed-Methods Study.
.- Conversational AI for Healthcare: A Smart Chatbot For Breast Cancer Awareness.
.- RIASEC GPT Chatbot and Eye Tracking: Conscious vs. Subconscious Vocational Interest Inventory.
.- SECTION: NEURAL NETWORKS, CONVOLUTIONAL NEURAL NETWORKS (CNN), AND APPLICATIONS
.- Designing Multi-Objective CNN Architectures for SQL Query Modeling with Evolution Strategies.
.- An EEG Based High Accuracy CNN for Emotional Health Detection.
.- Efficient Real-Time Object Detection Using Deep Neural Networks: A Comparative Analysis on Low-Power Devices.,
.- SPAR: Scalable Prioritized Agent Routing for Multi-Agent Networks.
.- Model Construction for Complex Systems Using Systems Dynamics Aware Neural Networks.
.- Convolutional Neural Networks for Accurate Medical Clamp Identification in Hospital Settings.
.- SECTION: XXV TECHNICAL SESSION ON APPLICATIONS OF ADVANCED AI TECHNIQUES TO INFORMATION MANAGEMENT FOR SOLVING COMPANY-RELATED PROBLEMS
.- Evaluating the Impact of Algorithmic Complexity on Recommender Systems: A Comparative Study of Rating and Ranking Models.
.- Digital Twins in Supply Chain Management: An Overview of the Literature.
.- Analyzing Stock Market Recovery for G20 Countries in Critical Events using Elastic Patterns.
.- How to Manage Supply Chain Bill of Materials through Artificial Intelligence?.
.- ACC'25:9th International Conference on Applied Cognitive Computing
.- Moving Beyond Arbitrary Augmentations: K-Hop Connectivity for Robust Augmentation in Graph Contrastive Learning.
.- Digital Activity Recognition and Cybersecurity Procedural Task Extraction with Video LLMs: A Cognitive Computing Framework.
.- Emotion Analysis in Speech Based on Audio-Visual Fusion.
.- Harnessing Deterministic Chaos for Adaptive Gradient Optimization.
.- TruCrisisAware: Integrating Naturalistic Decision Making into AI for Enhanced Disaster Response.
.- Intelligent Shading Classification for Smart Reconfigurable Photovoltaic Panels in Residential Solar Systems.
.- SECTION: POSTER RESEARCH PAPERS
.- LLM-Based Benchmarking and Performance Assessment of Paraphrased Sentences.
.- Evaluating the Impact of Local Knowledge Document File Types on the Performance of Large Language Models.