Singidunum University

GAMEMANCIPATION NOW! An intergenerational framework for evaluating games as participatory tools in architecture and urban planning

Games are increasingly used in architecture and urban planning to support participation, learning, and co-design, yet evaluation remains uneven: studies often report engagement and dialogue while less consistently assessing power relations, agency, and whether game outputs transl...

When Nobody Knows What Is Real: Associations Between AI-Generated Manipulation, Fear of AI Fraud, Privacy Protection Behavior, and Trust in AI Governance

The rapid proliferation of generative artificial intelligence (AI) has intensified concerns regarding misinformation, identity fraud, privacy, and public trust in AI governance. This study examines the associations among perceived exposure to AI-generated manipulation, fear of AI...

Psychological Predictors of Bystander Reactions to the Abuse of Animals and Humans

ABSTRACT While bystander reactions to violence against humans have been well studied, less is known about how people react to animal abuse. We studied whether the same psychological predictors are relevant to reactions to the abuse of animals and humans. We examined the role of D...

Reality Gap Analysis in Physics-Informed ICS Anomaly Detection: From Synthetic Validation to HAI 23.05 Real-World Testbed Evaluation

Physics-informed anomaly detection for industrial control systems (ICSs) is usually validated on synthetic data. How much of that performance survives on real hardware-in-the-loop (HIL) data is an open question. We re-implement PhySec-Edge, a hybrid BiLSTM/β-VAE/GAT/Kalman pipeli...

Towards resilient forest establishment in Europe: functional traits, genetic diversity and multifunctional design

Abstract Forest restoration and afforestation across Europe are accelerating, yet the decision-making processes governing forest establishment remain unevenly examined, especially from a biodiversity perspective. Considering this and the global environmental changes of climate sh...

Swarm Intelligence-Guided Hybrid Transfer Learning for Gastrointestinal Polyp Classification

Colorectal cancer remains a leading cause of cancer-related mortality worldwide, with automated polyp classification from endoscopic images offering a promising avenue for improving early detection. Existing approaches rely on single convolutional neural network (CNN) backbones w...