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| Autore: |
Arabnia Hamid R
|
| Titolo: |
AI Revolution: Research, Ethics and Society : International Conference, AIR-RES 2025, Las Vegas, NV, USA, April 14–16, 2025, Proceedings, Part III / / edited by Hamid R. Arabnia, Leonidas Deligiannidis, Soheyla Amirian, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026 |
| Edizione: | 1st ed. 2026. |
| Descrizione fisica: | 1 online resource (762 pages) |
| Disciplina: | 006.3 |
| Soggetto topico: | Artificial intelligence |
| Data protection | |
| Software engineering | |
| Application software | |
| Image processing - Digital techniques | |
| Computer vision | |
| Business - Data processing | |
| Artificial Intelligence | |
| Data and Information Security | |
| Software Engineering | |
| Computer and Information Systems Applications | |
| Computer Imaging, Vision, Pattern Recognition and Graphics | |
| Business Informatics | |
| Altri autori: |
Arabnia
|
| Nota di contenuto: | -- ARTIFICIAL INTELLIGENCE: EDUCATION AND CURRICULUM DEVELOPMENT. -- Using ChatGPT to Reduce Academic Misconduct in a Systems Analysis Course: A Case Study. -- AI and Education. -- Teaching and Using AI in the Classroom: Integrating AI Modules in Undergraduate Computer Science Education. -- Digital Teaching Assistant: Medipol University Case Study. -- Curriculum for a New Five-Year Academic Program with a Bachelor's Degree and Master's Degree in Intelligent Systems Engineering. -- Developing a CSViewer for Education Application with Natural Language Interactions. -- A Custom Web Service for Analyzing Athletic Performance Data in Collegiate Sports. -- ARTIFICIAL INTELLIGENCE: IMAGING SCIENCE, CNN, AND APPLICATIONS. -- Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration. -- Carbon Emissions of a CNN Model: A Comparative Study of Colab and Jupyter Notebook with an Example. -- Robust Road Surface Anomaly Detection Using Three-Dimensional Geometric Analysis and Adaptive Machine Learning Strategy. -- Application of Medical Images for Detecting Anemia in Children: A Comparative Study of Convolutional Neural Network, k-Nearest Neighbor, Random Forest and Support Vector Machine. -- A Hybrid Three-Layer Convolutional Neural Network Architecture for Detecting Anemia using Clinical Images. -- Advancements in AI for Breast Cancer Diagnosis: A 2024-2025 Systematic Review Update. -- Enhanced Ensemble Model-Based Approach from Deep Learning for MonkeyPox Detection Using Medical Images. -- Study on Arabic Food Calorie Estimation App using Image Processing. -- Compressively Sensed Super-Resolution Magnetic Resonance Image Reconstruction Algorithm Using Convolutional Neural Networks. -- ARTIFICIAL INTELLIGENCE: NOVEL METHODOLOGIES AND APPLICATIONS. -- Comparative Recognition Technology for Artificial Intelligence. -- Evolutionary Computing Applications and Trends from 2010 to 2025: A Brief Review. -- How Embodiment Shapes Trust and Engagement: A Comparative Analysis of Alexa and Pepper in Competitive Gameplay. -- A Cost-Effective Tool for Senior Activity Classification and Visualization. -- Study of Conversational Agents in VR Guiding Experience. -- Warped-Frequency Cepstral Coefficients for Improving COVID-19 Detection. -- Improved Partial Dependence Plotting for Interpretable Machine Learning. -- Integrating Python and Generative AI for Graph Theory Visualization and Problem-Solving. -- The Role of Dynamic Trust and Resource Management in Improving IoT-Based Edge Computing: A Review. -- The Black Box Dilemma: A Framework for Mitigating Rogue AI Through Standardized Models and Anomaly Detection. -- Responsible AI in Demand Forecast of Supply Chain Management. -- AI-empowered Creative Problem Solving. -- Enhancing Diabetes Hospital Stay Predictions through Interpretability. -- Optimizing Smoking Cessation Alternatives Using Multi-Moora and AI-Based Methods. -- Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network. -- ARTIFICIAL INTELLIGENCE: SOFTWARE TOOLS AND POTENTIAL APPLICATIONS. -- Digital Platform for Livestock Sector: An Opportunity in Artificial Intelligence Era. -- Transdisciplinary Visual Communication: An Insight into its Techniques and Models. -- Investigating the Impact of Age and Gender on Sentiment Analysis in Movie Reviews. -- Applying Automatic Inference in Constraint Satisfaction Planning. -- Energy Consumption and Performance of AI Accelerators for Edge Devices. -- Hybrid Convolutional Neural Networks and Modified GARCH Model Based the European Union's Emissions Trading Scheme Prices Forecasting. -- Photogrammetry Software. -- Understanding Unity's ECS Architecture. -- Benchmarking Performance of Unity's Data Oriented Technology Stack. -- INTELLIGENT LINGUISTIC TECHNOLOGIES. -- Regional Safe Havens for Advanced AI: A Strategy for a Safer and More Ethical Path to Super Intelligence. -- Codification, Annotation and Rule-based Inferencing for CharActER: A Proposed Application for Teaching Chinese the WRITE Way. -- How Higher Education Students Should Use AI to Enhance Their Learning. -- The Dysfunctions of Artificial Intelligence Itself that Threaten Future Cybersecurity. -- Unconventional Active Learning for IoT Class: Sensors and IoT Course Utilizing-Brainstorming, Collaboration, and Creative Problem-Solving Through Hands-On Activities. -- An Efficient YOLO-based Approach for Goldfish Disease Diagnosis. -- Examining Racial Bias in Generative AI: Undergraduate Student Perspectives on Bias in AI. |
| Sommario/riassunto: | This book constitutes the proceedings of the International conference on AI Revolution: Research, Ethics and Society, AIR-RES 2025, held in Las Vegas, Navada, USA, during April 14–16, 2025. The AIR-RES Conference received 620 submissions, of which 131 papers were accepted, resulting in a paper acceptance rate of 21%. |
| Titolo autorizzato: | AI Revolution: Research, Ethics and Society ![]() |
| ISBN: | 3-032-13056-5 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9911054595403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |