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 ...
Yehey.com

Yehey.com - AI Hurricane Forecasting: Benefits, Risks, and What’s Next

In this article we explore how AI improves hurricane forecasts, weigh the advantages and drawbacks, and look ahead to the ...
Game Rant

New FPS Game Looks Like the Metro Games If They Were Extraction Shooters

Josh Cotts is the Lead Features and Lists Editor at GameRant. He graduated Summa Cum Laude from Arizona State University in 2019 with a B.A. in Mass Communications & Media Studies and has been ...
IEEE

Personalized federated learning algorithm based on composite feature extractor

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...
Frontiers

Machine learning-based differentiation of lung squamous cell carcinoma and adenocarcinoma using clinical-semantic and radiomic features

To evaluate and compare the predictive performance of machine learning methods using clinical-semantic, radiomic, and combined features in distinguishing squamous cell carcinoma (SCC) from ...
Frontiers

Postpartum depression risk prediction using explainable machine learning algorithms

Postpartum depression (PPD) is a common and serious mental health complication after childbirth, with potential negative consequences for both the mother and her infant. This study aimed to develop an ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...