Information Technology University

Multilingual Hematology Visual Question Answering Dataset

Vision Language Models (VLMs) have shown promising capabilities in medical image analysis by jointly understand- ing visual and textual information for tasks such as Visual Question Answering (VQA). However, existing hematology vision-language resources remain predominantly Engli...

Deep learning-driven multisource remote sensing image fusion: Advances, challenges, and future directions

Multisource remote sensing image fusion has become an important solution to a long-standing limitation in Earth observation: individual sensors rarely provide high spatial detail, rich spectral information, reliable structural sensitivity, and frequent temporal coverage at the sa...

IslamicLegalBench: Evaluating LLMs knowledge and reasoning of islamic law across 1,200 years of Islamic pluralist legal traditions

Abstract As millions of Muslims worldwide turn to LLMs like GPT, Claude, and DeepSeek for religious guidance, a critical question emerges: Can these AI systems reliably reason about Islamic law? This paper introduces , the first multi-school benchmark for evaluating LLM performan...

Quiet or Blind? Measuring the Cost of Exclusions in LLM-Generated Detection Rules

A detection rule costs its operator twice, in analyst time for every benign alert it raises and in dwell time for every attack it misses, and the exclusion clause that encodes what is normal in one environment decides both. Language models now write such rules from threat reports...

Investigating social drones for recreational running through co-design

Introduction Human-drone interaction is an emerging field investigating ways to extend the conventionally passive role of drones with autonomous, socially interactive functionalities. Drones offer unique opportunities for applications, such as exercise support, due to their mobil...