Overview

This book constitutes the refereed proceedings of the 8th International Conference on Applied Informatics, ICAI 2025, held in Ben Guerir, Morocco, during October 8–11, 2025. The 27 full papers included in this book were carefully reviewed and selected from 106 submissions. They were organized in topical sections as follows: Artificial Intelligence; Data Analysis; Decision Systems; Image Processing; Interdisciplinary Information Studies; Learning Management Systems; Natural Language Processing and Robotic Autonomy.

Full Product Details

Author:   Hector Florez ,  Diego Peluffo-Ordoñez
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
ISBN:  

9783032071743

ISBN 10:   3032071747
Pages:   430
Publication Date:   08 October 2025
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Not yet available  
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Table of Contents

.- Artificial Intelligence. .- Cognitive Architecture for learning in Autonomous Agents: A Study in Discrete Navigation. .- Conversational System for Feline Behavior Analysis using Retrieval-Augmented Generation. .- Multifactorial Modeling of High-impact Crime Reporting in Colombian Municipalities Using Machine Learning Techniques. .- Systematic Review of Artificial Intelligence Applications in the Stability Assessment of Volcanic Caves. .- Thermal Behavior Analysis in Wind Turbines using Statistical Methods and Artificial Intelligence Techniques. .- Data Analysis. .- A Bin-Packing strategy for scaling electricity consumption in scenarios with distributed generation. .- A Hybrid Machine Learning Approach to Predict Barrier Profiles in Youth with Physical Disabilities. .- Comparison of popular machine learning models for pandemic prediction. .- Introducing an IoT-based strategy to measure athletes in field testing automatically. .- Decision Systems. .- A Lightweight Deep Feature Fusion and PCA-Optimized Random Forest Framework for Multi-Class Potato Leaf Disease Classification. .- A Semi-Automatic Method for Topic Discovery and Trend Analysis Across Text Corpora. .- Comparison of Statistical, Machine Learning, and AI-Based Models for Bitcoin (BTC) Price Prediction: A Multi-Algorithmic Evaluation. .- Transforming Business Strategies with AI-Driven Predictive Analytics and Ethical Data Practices. .- Distributed Semantic Cache Coordination for Retrieval-Augmented Generation Systems. .- Preliminary Evaluation of Vision-Language Models for Fall Detection. .- Image Processing. .- A Comparative Analysis of Deep Transfer Learning and Traditional Handcrafted Feature Approaches for Kidney Disease Classification using Random Forests. .- AI in Clinical Research: Menacing Disruption or Catalyst for Cognitive Breakthroughs?"". .- Interdisciplinary Information Studies. .- Evaluating the Efficacy of a Predictive Algorithm for Forecasting Dropout Risk in First-Year Programming. .- Poverty's non-linear dynamics: Machine learning analysis of inequality and remittances in Ecuador. .- Socioeconomic Factors Influencing Consumer Credit Demand in Mexico. .- Learning Management Systems. .- Intelligent Virtual Assistant to Facilitate Learning in International Trade Contexts  .- Natural Language Processing. .- Enhancing Hate Speech Detection in Social Media Images Using Deep Learning and Synthetic Datasets. .- ESNLIR: Expanding Spanish NLI Benchmarks with Multi-Genre and Causal Annotation. .- Fine-Grained Emotion Classification in Reddit Mental Health Posts using LLMs. .- Optimizing Multimodal Language Models through Attention-based Interpretability. .- Robotic Autonomy. .- Evaluating LLM-Based Autonomous Agent Architectures for Task Execution with Social Robots. .- ROS2 pipeline for open-vocabulary object detection and 3D reconstruction on Jetson Orin Nano.

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