Buch, Englisch, 678 Seiten, Format (B × H): 155 mm x 235 mm
5th International Conference, AII 2025, Washington, DC, USA, October 28–30, 2025, Revised Selected Papers
Buch, Englisch, 678 Seiten, Format (B × H): 155 mm x 235 mm
Reihe: Communications in Computer and Information Science
ISBN: 978-3-032-36571-2
Verlag: Springer
This book constitutes the revised selected papers of the 5th International Conference on Applied Intelligence and Informatics, AII 2025, held in Washington, DC, USA, during October 28–30, 2025.
The 41 full papers included in these proceedings were carefully reviewed and selected from 127 submissions. They were organized in the following topical sections: Emerging Applications of AI and Informatics; Application of AI and Informatics in Healthcare; Application of AI and Informatics in Pattern Recognition; and Application of AI and Informatics in Network, Security and Analytics.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
- Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware
- Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
Weitere Infos & Material
.- Emerging Applications of AI and Informatics
.- Optimizing and Enhancing Model Performance in the Analysis of Male Domestic Violence with XAI.
.- AI-Driven Multi-Agent Reinforcement Learning for Dynamic Coalition Formation in Co-working Networks- A Case Study.
.- Unlocking the Future of Ethics: Leveraging Synthetic Data to Improve Higher Education Dropout Prediction with Machine Learning.
.- Analysis of Mechanical Behavior in Carbon Fiber Powder Reinforced High Density Polyethylene without Filler Addition and its Applications.
.- Machine Learning in Data-Driven Predictive Policing: Canada Perspective.
.- Transparent Decision Making in HCI Systems: An XAI Approach Integrating CNN Architectures with SHAP and LIME Explanations.
.- Pegaso RAG-Dropout: An Interpretable Hybrid Machine Learning and Large Language Model Framework for Student Attrition Prediction.
.- Analyzing Software Resource Consumption Data for Sustainable Green Software Development- A Predictive Model to Reduce and Optimize Energy Consumption in Software.
.- Application of AI and Informatics in Healthcare
.- DGG-XNet: A Hybrid Deep Learning Model for Multi-Class Brain Disease Classification with Explainable AI.
.- DSK-Chain: A Hybrid Approach to Improve the Performance of Lazy Learner Variants for Chronic Metabolic Diseases.
.- Interpretable Transfer Learning based Alzheimer’s Disease Classification with LIME.
.- FedAvg-ResNet50: Privacy-Preserving Explainable Acute Leukemia Classification.
.- An Ensemble Machine Learning Framework for Predicting Mental Health States in Addictive and Inappropriate Social Media Usage:Insights from Bangladesh.
.- Vertical AI for Kidney Stone Detection: Knowledge-Distilled CNNs with student-teacher model for Ultrasound Imaging.
.- Enhancing Lung Cancer Recognition through Deep Learning: A Comparative Analysis of CT and Histopathological Imaging.
.- A Feature Engineering-Centric Framework for PCOS Classification Using Machine Learning.
.- Contrastive Self-Supervised Learning Framework for Multi-Class Alzheimer’s Disease Diagnosis from MRI Images.
.- Federated Learning based Diabetes Prediction.
.- From Data to Decisions: Future Impact of Evidence-Based Integrationof Wearable Technologies and Artificial Intelligence on Personalized Health Care.
.- Application of AI and Informatics in Pattern Recognition
.- Smart Farming with MCPNet: A Hybrid Deep Learning Framework for Multi-Crop Pest Detection.
.- CodeMixEcom-Emotion: A Large-Scale Bangla–English Review Corpus and Transformer-Based Benchmark for Fine-Grained Emotion Detection.
.- A Hybrid MLP-XGBoost Architecture for Pairwise Product Comparison Using Multimodal Features.
.- Gender-based classification of Sandfly Genitalia using Attention-based CNN and Pre-trained models.
.- Tomato Disease Diagnosis with Self-Supervision for Class-Imbalanced Leaf Images.
.- Automated Bangla to IPA Transliteration Using Sequence-to-Sequence Models with Attention Mechanism.
.- TamViT: Vision Transformer Based Tamil Handwritten Character Recognition.
.- Impact of Feature Selection on Classification: Comparing Chi-Square and PC.
.- DeRoXGB: A Hybrid Framework to Enhance Sentiment Analysis Using Transformer-Based Models and Gradient Boosting Algorithm.
.- A Genetic Algorithm for Automated Multimodal Machine Learning.
.- Application of AI and Informatics in Network, Security and Analytics
.- Overfitting-Aware Comparative Study of Sentiment Classifiers on Chat-Based Datasets.
.- Malicious Network Intrusion Detection Using Stacked Ensemble with Explainable AI Techniques.
.- Phishing URL Detection Using QR-Code Transformation and CNN.
.- Urdu Extractive Text Summarization: Evaluating Sentence Scoring Techniques.
.- ATransformer-Based Approach for Sentiment Analysis of Arabic Social Media Content.
.- Exploring Therapeutic Targets, Gene Regulatory Networks, and Potential Drugs Linking Obesity and Pancreatic Cancer.
.- Analyzing Topics and Sentiments of Arabic Twitter Discourse on COVID-19: Evidence from Saudi Arabia and the United Arab Emirates.
.- Predicting Cognitive Change Over Time: Feature Fusion of Spatial Navigation Metrics and EEG Data in Machine Learning Models.
.- LayerEdge: A Scalable, Secure Layer 2 DEX Platform for the Ethereum Blockchain.
.- A Domain-Aware Hierarchical Stacking Ensemble Framework for Interpreting Postpartum Depression Risk.
.- Causality-Aware Hybrid Demand Forecasting Framework for Retail Supply Chains.
.- AI Safety in the U.S. Critical Systems: Balancing Robustness and Accuracy.
