Scientific Research Publishing

Intelligent Agents in Cybersecurity: Deep Learning to Analyze User Behavior Applying ()

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...
Scientific Research Publishing

Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience ()

Awurum, N.P. (2025) Next-Generation Cyber Defense: AI-Powered Predictive Analytics for National Security and Threat Resilience. Open Access Library Journal, 12, 1-17. doi: 10.4236/oalib.1114210 .
Frontiers

Interpretable machine learning for predicting early neurological deterioration in symptomatic intracranial atherosclerotic stenosis

1 Department of Neurology, Jiangyin Clinical College of Xuzhou Medical University, Jiangyin, Jiangsu, China 2 Department of Neurology, Jiangyin Fifth People's Hospital, Jiangyin, Jiangsu, China ...
C&EN

Mechanism-Driven Features Enable Asn Deamidation Reactivity Prediction via Machine Learning Methods

The spontaneous deamidation of Asparagine (Asn) residues is a common post-translational modification of proteins that can occur on disparate time scales, ranging from hours to thousands of years. This ...
TheServerSide

AWS Machine Learning Associate exam topics, tips and practice exams

Community driven content discussing all aspects of software development from DevOps to design patterns. The AWS Machine Learning Associate exam validates real-world ability to build, operationalize, ...
Frontiers

Ensemble machine learning prediction accuracy: local vs. global precision and recall for multiclass grade performance of engineering students

1 Department of Computer Science and IT, IIS Deemed to be University, Jaipur, Rajasthan, India 2 Pokhara University, Pokhara, Nepal This study examines the prediction accuracy of ensemble machine ...
CBS News

The Learning Curve

One organization, Texas Values, is leading the rollout. It's one of the groups that helped pass Senate Bill 10. The reversal of the Texas Dream Act is leaving many undocumented university students in ...
SciELO

Suicide detection in Chile: proposing a predictive model for suicide risk in a clinical sample of patients with mood disorders

Objective: To analyze suicidal behavior and build a predictive model for suicide risk using data mining (DM) analysis. Methods: A study of 707 Chilean mental health patients (with and without suicide ...
eLife

An antimicrobial drug recommender system using MALDI-TOF MS and dual-branch neural networks

This valuable study presents a machine learning model to recommend effective antimicrobial drugs from patients' samples analyzed with mass spectrometry. The evidence supporting the claims of the ...