Kannan / Villamarin Rodriguez / Rege | Artificial Intelligence and Knowledge Processing | Buch | 978-3-032-14705-9 | www2.sack.de

Buch, Englisch, 288 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 464 g

Reihe: Communications in Computer and Information Science

Kannan / Villamarin Rodriguez / Rege

Artificial Intelligence and Knowledge Processing

5th International Conference, AIKP 2025, Hyderabad, India, October 23-25, 2025, Proceedings
Erscheinungsjahr 2026
ISBN: 978-3-032-14705-9
Verlag: Springer

5th International Conference, AIKP 2025, Hyderabad, India, October 23-25, 2025, Proceedings

Buch, Englisch, 288 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 464 g

Reihe: Communications in Computer and Information Science

ISBN: 978-3-032-14705-9
Verlag: Springer


This book constitutes the refereed proceedings of the 5th International Conference on Artificial Intelligence and Knowledge Processing, AIKP 2025, held in Hyderabad, India, during October 23–25, 2025.

The 22 full papers included in this book were carefully reviewed and selected from 111 submissions. They explore a broad spectrum of themes including machine learning, natural language processing, computer vision, robotics, data science, quantum AI, cognitive computing, and ethical AI.

Kannan / Villamarin Rodriguez / Rege Artificial Intelligence and Knowledge Processing jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


.- Optimization of Routes for Hospitalary Subnetworks in Bogotá through Genetic Algorithms.
.- Enhancing Tuberculosis Diagnosis through AI-Powered Chest Radiograph Classification.
.- Comparative Analysis of Decision Tree and Random Forest Models for Prostate Cancer Classification.
.- XAI-Driven Fine-Tuned EfficientNetV2 Model for White Blood Cell Classification.
.- RAG System Application for Supporting Drug Discovery and Docking Molecular Processes.
.- Deep Learning for Dynamic Systems: A Meta-Model Adaptation Approach.
.- Hybrid Attention and Prototype Contrastive Learning for Fine-Grained Sketch-Based Image Retrieval.
.- Systematic Evaluation of Statistical, ML, and DL Models for Lumpy and Intermittent Demand Forecasting.
.- Beyond Regression: Leveraging ANN Models for Predictive Business Analytics.
.- Applied Machine Learning in Finance: A Practical Comparison of LSTM and ARIMA for Stock Price Prediction in Emerging Markets.
.- AI-Powered Assessment of Air Pollution in Europe: OpenAQ Insights 2020–2024.
.- Time-Series Forecasting of Solar Irradiance for Resilient Microgrids.
.- An Intelligent Adaptive Traffic Management System Using Real-Time Data and Deep Learning.
.- Conditional Probability-Based Soft Computing Techniques for Smart Energy Management Systems.
.- AI-Driven Higher Education: A Systematic Review.
.- Leveraging MFCC Features for Bangla Audio Emotion Classification.
.- Enhancing Functional Language Processing: A Structured and Efficient Interpretation Approach.
.- Graph-Augmented Transformer for Enhanced StructureAware Arabic Abstractive Summarization.
.- AI-Driven Evaluation of Environmental, Social, and Governance Disclosures.
.- Tourism Demand Forecasting for Single-Step and Multi-Step Horizons.
.- Career Advisory with Artificial Intelligence.
.- Street-Cred: Estimating Credibility of Small Businesses Using AI-Generated Ranking.



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