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This paper addresses ransomware recovery in critical manufacturing environments as fundamentally different from typical enterprise backup restoration
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This paper addresses the challenge of modeling clinical decision-making in pediatric Extracorporeal Membrane Oxygenation (ECMO) using imitation learning
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This paper presents an in-depth ethnographic case study of Major League Baseball's (MLB) Automated Ball-Strike System (ABS), a technology designed to automate calling balls and strikes by enforcing…
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IVGT addresses the challenging problem of reconstructing coherent and continuous 3D geometry and appearance from multiple unposed RGB images without known camera poses
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This paper addresses the origin and impact of lattice relaxation in rhombohedral multilayer graphene aligned with hexagonal boron nitride (hBN), especially motivated by recent experimental observat…
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This work addresses the challenging problem of segmenting smallholder agricultural landscapes in the Global South using very-high-resolution (VHR) satellite imagery
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This paper presents Nori Bot, a dual-arm mobile manipulator costing $947 in parts—around 3% the price of comparable commercial platforms—and addressing three major limitations common to sub-$1,000 …
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This paper introduces and rigorously studies persona fingerprinting, a novel privacy risk where an adversary infers a user's behavioral persona (e.g., browsing style) solely from encrypted network …
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PromptDecipher addresses the critical gap in AI tutoring chatbot authoring where educators, despite creating content, fail to systematically test and refine bot behavior before deployment
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The paper introduces the Data Quality Report Builder (DQRbuild) toolkit, designed to automate and accelerate the vetting of gravitational-wave (GW) event candidates by assessing data quality (DQ) i…
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This paper addresses the challenge of evaluating Computer-Using Agents (CUAs), which extend large language models (LLMs) beyond language reasoning to real-world interaction with complex graphical u…
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This paper addresses the high latency and cost inefficiencies in current LLM-based web agents that interact with live, purpose-built websites to automate complex multi-step tasks
