The Lancet

Risk-stratified classification of pulmonary nodule malignancy via a machine learning model ...

aDepartment of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, China State Key Laboratory of Respiratory Disease & National Clinical Research Center for ...

Researchers develop new 'emotionally aware' model for classifying mental health conditions

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
IEEE

End-to-End Open-Set Semi-Supervised Learning for Fine-Grained Encrypted Traffic Classification

Abstract: Encrypted traffic classification is crucial for enhancing network management, service quality, and security. However, real-world network environments are inherently open-world scenarios in ...
IEEE

Impact of Music on Brain and Mental Health: Classification using Machine Learning Algorithms

Abstract: Music creates powerful effects on human psychological conditions while it affects brain cognitive performance and brain functioning patterns. This research investigates the connection ...
The Conversation

We don’t always read comics in the same way as text – and that makes them a good ...

From comics aimed at very young children to university-level textbooks, comics are known to be an effective medium for helping people to learn new information. This is because they represent ...