A Modality-Specific Deep Learning Framework for Cardiac Disorder Screening Using Electrocardiogram Signals and Clinical Data
A Degradation-Aware Joint Restoration and Classification Framework with Adaptive Feature Fusion for Robust Visual Recognition
An Exploratory Data Analysis-Guided Multilayer Perceptron Framework for Chronic Kidney Disease Classification Using Clinical Tabular Data
Customer Churn Prediction in Small and Medium Enterprises Using Gradient Boosting with RFM-Based Behavioral Features
An Imbalance-Aware Multi-Model Machine Learning Framework for Smartphone-Based Road Surface Classification via Inertial Sensor Fusion
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

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