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Relation analysis is crucial for image-based applications such as visual reasoning and visual question answering. Current relation analysis such as scene graph generation (SGG) only focuses on building relationships among objects within a single image. However…
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Language is part of social life, and efforts to control it can be viewed in light of broader struggles for social power around issues like migration, education, class and race. This book explores how people act within institutions and communities to try and co…
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Abstract In 2021, Tengizchevroil (TCO) initiated a pivotal standardization of business processes, data, and technology in several directions, particularly in asset management and materials management in line with Chevron’s enterprise program. Thus, digital sol…
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The Central Asia Regional Economic Cooperation (CAREC) Program recognizes the unique climate impacts experienced by its member countries. Its vision for climate action aims to help coordinate the region’s efforts while acknowledging individual needs. The visio…
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Abstract Multimodal medical artificial intelligence (AI) is increasingly recognized as superior to traditional single-modality approaches due to its ability to integrate diverse data sources, which align closely with clinical diagnostic processes. However, the…
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Introduction "Population Health Management (PHM), Fit Lifecycles in Analytics" examines the policy and practice of AI-driven methodologies to enhance public health and patient safety in the context of the Human Phenotype Ontology (HPO). It aims for personalize…
europepmc
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europepmc
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europepmc
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europepmc
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Green Toxicology extends the principles of Green Chemistry by embedding toxicological foresight into chemical design, with the aim of preventing hazards before substances reach markets or the environment. Its conceptual pillars-prevention, precaution, life-cyc…
europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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The integration of Artificial Intelligence with sensor networks, computer vision, and predictive analytics enables real-time, data-driven management, improving productivity, health outcomes, and welfare monitoring. An AI-based behavioral, visual, and acoustic …
europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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As the population continues to age, and gaming continues to grow as a hobby for older people, heterogeneity among older adult gamers is increasing. We argue that traditional game-based accessibility features, like simplified input schemes, redundant informatio…
europepmc
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europepmc
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europepmc
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Artificial intelligence (AI) is increasingly used to support predictive, mechanistic, and human-relevant toxicology at scale. However, its integration into regulatory science - particularly in drug development - remains uneven, because encouraging technical pe…
europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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europepmc
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AI is shifting from discrete tools to a system-level integrator, requiring a holistic approach to manage farm ecosystems rather than isolated disciplines. Advanced AI transforms farms into real-time living laboratories, accelerating knowledge creation and posi…
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The Resonant Fabric of Computational Ontology: A Unified Analysis of Recursive Harmonics in Biological, Silicon, and Cryptographic Systems I. Introduction: The Crisis of Distinction and the Stroboscopic Manifold The trajectory of contemporary scientific inquir…
datacite
Kulik, Dean
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Vision-Language-Action (VLA) models are promising as they allow to interact with a robot through natural language and are very generalist policies. VLAs attach a randomly-initialized Diffusion Transformer (DiT) to a pretrained Vision-Language Model (VLM) and t…
datacite
Scharffe
2026
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Machine LearningRoboticsReinforcement learningNatural Language ProcessingComputer vision
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Vision-Language-Action (VLA) models are promising as they allow to interact with a robot through natural language and are very generalist policies. VLAs attach a randomly-initialized Diffusion Transformer (DiT) to a pretrained Vision-Language Model (VLM) and t…
datacite
Scharffe
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Machine LearningRoboticsReinforcement learningNatural Language ProcessingComputer vision
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Manipulating moving objects requires a policy to anticipate contact events, yet vision-language-action (VLA) policies are commonly fine-tuned from the current observation alone. World action models (WAMs) learn predictive dynamics, but running a video-scale te…
datacite
Ma, Siyuan, Zhang, Yutian, Zhang, Boshi, Wu, Qinglian 等
2026
置信度 0.66
Artificial Intelligence (cs.AI)Robotics (cs.RO)FOS: Computer and information sciencesI.2.9; I.2.6; I.2.10
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Deploying a pretrained flow-matching vision-language-action (VLA) policy on a particular robot and workspace often calls for task-specific adaptation, while full- policy fine-tuning is costly and changes the base behavior. We present Guided Action Flow, an inf…
datacite
Yang, Liuhaichen, Jiang, Zhuang, Sheng, Chenchao, Tang, Zezhi
2026
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Robotics (cs.RO)Artificial Intelligence (cs.AI)FOS: Computer and information sciences
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Large vision-language models (VLMs) have evolved rapidly from contrastive image-text encoders and adapter-based assistants into natively multimodal foundation models that support long-context reasoning, agentic workflows, and, increasingly, unified perception-…
datacite
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Computer Vision and Pattern Recognition (cs.CV)Artificial Intelligence (cs.AI)Computation and Language (cs.CL)Machine Learning (cs.LG)Robotics (cs.RO)
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Text-based person anomaly search requires distinguishing individuals based on fine-grained, context-dependent behaviors rather than mere appearance. Existing methods struggle to capture these context-conditioned actions, frequently relying on isolated skeletal…
datacite
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2026
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)FOS: Computer and information sciences