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Open access Sep 2026

A Software-Oriented Deep Learning Framework for Multiclass Academic Stress and Mental Health Risk Prediction

This study proposes a multiclass predictive framework for academic stress and mental health risk classification among students using a Kaggle dataset containing 25,000 records, and indicates that ensemble and deep learning approaches can effectively support multiclass mental health risk classification.

Shoaib Ahmad, A. Imran, Tahoona Kshif et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A Three-Axis Stress Test of LLM vs Classical ML for Network Intrusion Detection under Distribution Shift and Adversarial Evasion

Large language models are increasingly benchmarked against classical machine learning for network intrusion detection (NIDS), almost always using same-dataset evaluation, and that protocol turns out to be incomplete. Evaluating XGBoost and RoBERTa-LoRA on two independently collected NetFlow v2 networks across three axe...

Muhammad Atif, M. Ali · 0 citations

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