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This paper addresses the challenge of accurately modeling phonon-mediated thermal transport in structurally complex nanocrystalline silicon, where grain.
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This paper addresses the challenge of visually realistic, closed-loop simulation for end-to-end autonomous driving (E2E-AD).
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This poster paper investigates the packet-level timing relationship between Google Safe Browsing (GSB) query closure events and parallel DNS resolution.
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ProxyPose addresses the long-standing challenge of tracking 6-DoF pose of objects and surfaces from monocular video without relying on explicit 3D models.
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This paper addresses the unique challenges and opportunities presented by AI, specifically Natural Language Processing (NLP), for the Indic linguistic.
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This paper addresses the semantic gap problem in multi-hop question answering (QA) over knowledge graphs (KGs), where intermediate reasoning nodes often.
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This paper investigates significant privacy vulnerabilities inherent to browser-extension cryptocurrency wallets within the Web3 ecosystem.
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This paper addresses the problem of domain shifts in deep learning-based classification of breast calcifications in mammography across multi-site datasets.
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This paper tackles the challenge of remotely verifying the authenticity of Optically Variable Devices (OVDs), commonly known as holograms, on identity.
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This paper addresses the significant gap in fine-grained, multidimensional word-level control in large language model (LLM)-based text-to-speech (TTS).
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xDECAF presents a novel, extensible framework and tooling environment for architecture-based data flow analysis focused on information security.
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This paper addresses the critical challenge of modeling molecular crystal polymorphism by proposing a principled framework, MXtalGFlow, to generate and.
