Bienes/productos consumo
Phase-Preserving Trimodal Transformer for Tropical Forest Biomass Estimation Using Optical and PolInSAR Data
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The accurate estimation of Above-Ground Biomass (AGB) in mature tropical forests remains a critical challenge in remote sensing, primarily due to the saturation of Synthetic Aperture Radar (SAR)...
A Vision Based System for Guided and Collaborative Reconstruction of Fragmented Documents
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This paper presents the development and evaluation of a collaborative system for real-time reconstruction of fragmented paper documents in the context of cultural heritage preservation. The developed...
LLM-Enhanced Hierarchical Heterogeneous Graph Representation Learning for Malicious Python Package Detection
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Malicious Python packages have become a major threat to software supply chain ecosystems due to the widespread adoption of open-source repositories such as PyPI. Existing learning-based detection...
Regulatory compliance-readiness in the AI Supply Chain: examining datasets in Hugging Face
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A very large number of datasets are made available via Hugging Face (HF). These datasets are used to train a vast number of AI models, also available via HF. There are regulatory issues that might...
Physics-Informed Neural State-Space Modeling of Battery-Electric Vehicle Dynamics for Closed-Loop Automated Parking Simulation
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This paper contributes to vehicle dynamics modeling by introducing a physics-informed neural state-space model tailored for the parking regime of a production battery-electric sedan, identified...
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction
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Long-horizon behavior prediction aims to infer a user's next action based on a lengthy historical sequence, playing a crucial role in artificial intelligence field. The rise of large language...
Overload-Based Cascades in Multiplex Flow Networks with Partial Functionality
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Cascading failures driven by load or flow redistribution arise in networked systems such as power grids, supply chains, and cloud computing centers. Most flow-network models assume that a node either...
HyNoC: A Hybrid Circuit-Switch/Wormhole Network-on-Chip for Distributed VLIW Computing on FPGA
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Network-on-Chip (NoC) architectures have become the standard interconnect fabric for many-core systems, yet most proposals face a fundamental trade-off between latency, area, and congestion...
Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
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Time series foundation models (TSFMs) have shown strong zero-shot forecasting performance, but their generalization in covariate-driven, non-stationary settings is underexplored. Electricity price...
Dependencies that Bundle Code and Execution
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Applications are built from many dependencies. Each dependency is distributed by package registries but it only contains compiled code and does not ship execution state, so runtimes rebuild that...
How many labels do you need? A decision framework for cross-habitat marine species recognition
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Automated image recognition is increasingly used to scale ecological monitoring beyond manual annotation, yet ecologists lack evidence-based guidance on how much labelling effort reliable deployment...
iFLYTEK-Embodied-Omni Technical Report
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General-purpose embodied agents must understand multimodal instructions, anticipate how their environment will evolve, and produce precise control actions over extended horizons. Existing approaches...
OmniOpt: Taxonomy, Geometry, and Benchmarking of Modern Optimizers
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Optimizer selection for large-scale model training has become a system-level design decision constrained jointly by compute, memory, tuning budget, and task diversity, yet the landscape of over one...
Dictionaries, Not Darwin: Set-Level Selection Beats LLM Evolution in Scientific Equation Discovery
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Large language models are increasingly used as evolutionary engines for scientific discovery: generate candidates, select winners, feed them back as parents, and repeat. We audit whether this loop...
Dynamic Interest Rate Discovery in Decentralized Finance: A Reverse Kelly Automated Market Maker for Risk-Adjusted Lending
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Decentralized Finance (DeFi) lending protocols currently rely on heuristic, utilization-based bonding curves that mandate severe over-collateralization, systematically excluding under-collateralized...
LBR: Towards Mitigating Length Bias in Large Language Models for Recommendation
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Large language models (LLMs) have recently emerged as powerful backbones for recommender systems by reformulating recommendation as a token-level generation task. Despite their promise, we identify a...
On the Physical Plausibility and Distribution Alignment for Sim-to-Real RF Positioning
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Reliable radio frequency (RF) positioning from cellular measurements is limited by the high cost and limited coverage of real drive-test data, especially when models must work on streets not seen...
A non-invasive video-based method for individual identification of wildlife using gait dynamics
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Gait is a distinctive behavioral characteristic that enables non-invasive individual identification without requiring physical interaction with an animal. While gait-based analysis has been...
Beyond Compliance: A Large Scale Study on the Completeness and Consistency of the GitHub SBOMs
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Modern software development relies heavily on open-source components. Reusing components accelerates innovation but increases exposure to supply-chain attacks exploiting known vulnerabilities....
Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions
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Video quality assessment (VQA) plays a critical role in optimizing video delivery systems. While numerous objective metrics have been proposed to approximate human perception, the perceived quality...
FORGE: Research-Trajectory Hijacking Attacks on Deep Research Agents
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Deep research agents decompose open-ended queries into subtasks, retrieve web evidence over multiple rounds, and synthesize long-form reports. This workflow creates a planning-layer poisoning...
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