6 Sept 2026Open access
The Agentic Action Boundary: code, benchmarks and per-episode dataPublisher siteZenodo (CERN European Organization for Nuclear Research)
Active, last published 2026
In spam and phishing detection
Diaa Salama
AbdElminaam
Scholar“Research focused on Spam and Phishing Detection and adjacent fields.”
Benha University
Egypt
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01 · About the work
What I study
iaa Salama AbdElminaam is a researcher working on Spam and Phishing Detection. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Diaa's work has been cited 1,680 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Spam and Phishing Detection×13Sentiment Analysis and Opinion Mining×11Photovoltaic System Optimization Techniques×10Artificial Intelligence in Healthcare×9Solar Radiation and Photovoltaics×8
04 · Where I am
Affiliations
Affiliation on published researchBenha University, EgyptDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
19 works6 Sept 2026Open access
The Agentic Action Boundary: code, benchmarks and per-episode dataPublisher siteZenodo (CERN European Organization for Nuclear Research)
22 Apr 2026Open access
Radiation shielding properties of magnetite-MgO heavy density concrete: Experimental study and machine learning analysisPublisher siteJournal of Materials Research and Technology, Radiation Shielding Materials Analysis
17 Sept 2025
Bridging the Gap Between Traditional Machine Learning and Advanced Deep Learning in Emotion Detection: A Comprehensive Analysis Using Standardized Metrics on Multi-Class Text ClassificationPublisher site17 Sept 2025
Advancements in Emotion Detection for Arabic Texts: A Comprehensive Review of Machine Learning and Deep Learning Approaches in Addressing Linguistic and Dialectal ComplexitiesPublisher site17 Sept 2025
Automated Fake News Detection Using TF-IDF Features and Neural Networks: A Comparative StudyPublisher site17 Sept 2025
Comparative Analysis of Machine Learning and Deep Learning Techniques for Extractive Text SummarizationPublisher site17 Sept 2025
Experimental Insights into Multilingual Language Detection Using Machine and Deep Learning Models with Balanced Training StrategiesPublisher siteExpert Academic Profiles go further
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