Skip to content
Log in
Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Shahrzad Saremi

h-index 19 View on Semantic Scholar

We have 4 of 46 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Oct 2026

Latent-space feature squeezing for adversarially robust intrusion detection on IoT edge devices

Machine learning-based intrusion detection systems (IDS) for Internet of Things (IoT) environments are vulnerable to adversarial perturbations that can cause malicious traffic to be misclassified as benign. Existing defences, such as adversarial training and feature squeezing, are typically applied independently an...

Mansooreh Mirzaei, S. Saremi, Abdullah Khan et al. · 0 citations
Sep 2026

Temporal feature engineering for agricultural commodity price forecasting in Nigeria: evaluating machine learning, deep learning and time-series approaches

This study investigates the effectiveness of machine learning, deep learning and traditional time-series approaches for predicting agricultural commodity prices in Nigeria, focussing on improving forecasting reliability through temporal feature engineering and time-aware evaluation using the WFP Nigeria dataset....

D. Ogunjobi, R. Shibl, S. Saremi · 0 citations
Review Open access Jul 2026

EGenAI-DBR: a design-based framework for responsible generative AI integration in higher education

The EGenAI-DBR framework represents the first empirically tested synthesis of DBR, academic integrity and GenAI integration, operationalised through the CSIM, offering an institutionally accessible model applicable across diverse higher education contexts.

Shahrzad Saremi, Mansooreh Mirzaei, Ahmad Rasti et al. · 0 citations
Jul 2026

MAPS‐PBFT: Mobility‐Aware Persistent‐Survivor PBFT for Vehicular Networks

MAPS‐PBFT is proposed, a mobility‐aware orchestration layer around unmodified PBFT, a mobility‐aware orchestration layer around unmodified PBFT that discriminates between viable and non‐viable committees.

Hilda Jemutai Bitok, Mingzhong Wang, Dennis Desmond et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.