IEEE

Deep Learning-based Binary Classification of Bone Fractures using a Hybrid MobileNetV3-CNN Architecture and Clinical X-ray Dataset

Abstract: Identifying the presence of bone fractures from radiographic images is a clinically important and time-consuming task that is limited by inter-observer variability or availability of ...

The Future Of AI Privacy: How Federated Learning Is Revolutionizing Data Security

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...
Scientific Research Publishing

A Multimodal Machine-Learning Framework for Predicting Lithium-Associated Renal Dysfunction from Synthetic Biomarker Trajectories ()

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...
IEEE

EmotionRF: Enhancing Emotion Classification from EEG Signals Using Machine Learning with Explainable AI

Abstract: This study investigates the application of machine learning techniques for classifying human emotions using electroencephalography (EEG) data. Focusing on the categorization of positive, ...