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Toward Robust and 3D-Aware RGB-NIR Imaging in the Dark
This paper addresses the challenging problem of robust low-light image enhancement by leveraging complementary Near-Infrared (NIR) images fused with.
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Visual analytics for cosmological simulation results
Modern cosmological simulations produce extremely large and complex datasets, creating challenges in interpretation, diagnostics, and knowledge discovery.
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A Matrix Factorization Approach in Turnstile Streaming
This paper introduces a general framework for the M-point query problem in turnstile streaming models, where the goal is to maintain an approximate vector.
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A study of the large-scale formation in the environment of A3266: Infalling groups, filaments, and a premerger cold front
This study investigates the large-scale environment surrounding the dynamically active galaxy cluster Abell 3266 (A3266) using eROSITA X-ray survey data.
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ABC methods for IoT Emitter Geolocalisation using LEO Satellite Doppler Measurements
This paper tackles the challenging problem of passively localising a stationary, ground-level IoT radio emitter using Doppler frequency measurements.
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Agentic Metaverse Services: A New As-a-Service Paradigm
This paper introduces Agentic Metaverse Services (AMServ) as a new paradigm that combines the recent advances in generative artificial intelligence.
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AI and Authenticity in Islamic Research: A Critical Evaluation of Generative AI Reliability, Hallucination, and Source Fidelity in Quranic, Hadith, and Fiqh Knowledge
This study critically evaluates the reliability, authenticity, and citation fidelity of six leading generative AI systems when answering open-ended.
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AI systems and the reproduction of (standard) language ideologies in World Englishes
This paper critically examines how large language models (LLMs) and associated AI systems reproduce, reinforce, and occasionally challenge entrenched.
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AIx4Soccer: A Unified Platform Architecture for Football Club Management and Structured Athlete Development
This paper addresses the problem of fragmented digital tooling in football clubs, academies, and federations, especially in developing markets like Brazil.
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An Empirical Study of Coordination Mode as the First-Class Citizen in From-Scratch Multi-Agent Coding
This paper addresses the critical gap in evaluating multi-agent AI systems that collaboratively develop full-stack software projects from scratch.
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AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis
AskChem addresses a key bottleneck in chemistry literature synthesis: scientific findings are scattered across many papers, yet traditional search returns.
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Beacon: Knowing When and How to Perform Agentic Visual Reasoning
This paper addresses a core challenge in agentic visual reasoning for multimodal large language models (MLLMs): improving their ability to selectively and.