IIETA | Advancing the World of Information and Engineering

Detecting and Mitigating Data Leakage in Breast Cancer Prediction Using an Explainable Machine Learning Framework with XGBoost and SHAP

An Adaptive Dual-Layer K-Means++ Scheduling Framework for Priority-Aware Cloudlet–VM Allocation in Heterogeneous Cloud Environments

Improvement of Quantum Feature Extraction Using Quantum Attention for Efficient Image Classification

Automated Classification of Keratoconus from Pentacam Corneal Topographic Maps Using Wavelet-Based Feature Extraction and Light Gradient Boosting Machine

Comparative Evaluation of Boosting-Based Machine Learning Models for Construction Project Cost Estimation

An Integrated Spatio-Temporal Analytics Framework for Smart Geotourism: Combining K-Means Clustering and SARIMAX-Based Visitor Demand Forecasting in Bayah Dome Geopark

Parameter-Efficient Adaptation of Vision-Language Models for Wearable Artificial Intelligence: A Systematic Review of Resource-Constrained Deployment

An Optimized Multi-Scale Hierarchical Transformer Framework for Accurate Battery State-of-Charge Estimation Using Adaptive Hyperparameter Optimization

Reliability-Oriented Evaluation of Missingness-Aware Gradient Boosting: A Case Study on Titanic Survival Prediction

A Context-Aware Sentiment Analysis Framework Integrating Textual, Emoji, and Punctuation Features Using Long Short-Term Memory Networks

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