IIETA | Advancing the World of Information and Engineering

An End-to-End BERT–LSTM Framework for Aspect-Based Sentiment Analysis of Animated Movie Reviews

A Transformer-Augmented U-Net++ Framework for Joint Lesion Segmentation, Quantitative Measurement, and Diagnosis in Digital Mammography

Evolution of Speaker Recognition: From Handcrafted Signal Processing to Deep Learning-Based Representation Learning

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

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