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Showing 770112 results for "spatial analysis"
Physics Preprint PDF DOI

Dense cores and filaments in M16: Enhanced formation efficiency in the stellar feedback-driven shell

Nageen Pervaiz, Guo-Yin Zhang, Alexander Men'shchikov, Jin-Zeng Li ยท 2026

We present a comprehensive analysis of dense cores and filamentary structures in the M16 Eagle Nebula using high-resolution ($11.7^{\prime\prime}$) surface density and temperature maps derived from \tโ€ฆ

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Neuroscience Preprint PDF DOI

Simulating Infant First-Person Sensorimotor Experience via Motion Retargeting from Babies to Humanoids

Francisco M. Lopez, Hoshinori Kanazawa, Ondrej Fiala, Yakov Balashov, Valentin Marcel, Lukas Rustler, Miles Lenz, Dongmin Kim, Yasuo Kuniyoshi, Jochen Triesch, Matej Hoffmann ยท 2026

Motion retargeting from humans to human-like artificial agents is becoming increasingly important as humanoid robots grow more capable. However, most existing approaches focus only on reproducing kineโ€ฆ

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AI & Data Science Preprint PDF DOI

Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark

M. Riera-Marin, O. K. Sikha, J. Rodriguez-Comas, M. S. May, T. Kirscher, X. Coubez, P. Meyer, S. Faisan, Z. Pan, X. Zhou, X. Liang, C. Hemon, V. Boussot, J.-L. Dillenseger, J.-C. Nunes, K.-C. Kahl, C. Luth, J. Traub, P.-H. Conze, M. M. Duh, A. Aubanell, R. de Figueiredo Cardoso, S. Egger-Hackenschmidt, J. Garcia-Lopez, M. A. Gonzalez-Ballester, A. Galdran ยท 2026

Surgical resection remains the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC), and eligibility depends on accurate assessment of vascular invasion (VI), i.e., tumor exโ€ฆ

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Computer Science Preprint PDF DOI

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

Kathleen Gregory, Dorothea Strecker ยท 2026

Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these mโ€ฆ

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Engineering Preprint PDF DOI

Joint Secrecy and Covert Communication (JSACC): An Enhanced Physical Layer Security Approach

Yanyu Cheng, Haitao Du, Liqin Hu, Wei Yang Bryan Lim, Pan Li ยท 2026

In this paper, we propose an enhanced physical layer security approach, named joint secrecy and covert communication (JSACC), which aims to improve the performance of physical layer security (PLS). Thโ€ฆ

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Computer Science Preprint PDF DOI

BAss: Symbolic Reasoning in Abstract Dialectical Frameworks

Samuel Pastva, Van-Giang Trinh ยท 2026

We present BAss (BDD-based ADF symbolic solver), a novel analysis tool for Abstract Dialectical Frameworks (ADFs) based on Binary Decision Diagrams (BDDs). It supports the fully symbolic computation oโ€ฆ

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AI & Data Science Preprint PDF DOI

Statistical Channel Fingerprint Construction for Massive MIMO: A Unified Tensor Learning Framework

Zhenzhou Jin, Li You, Xiang-Gen Xia, Xiqi Gao ยท 2026

Channel fingerprint (CF) is considered a key enabler for facilitating the acquisition of channel state information (CSI) in massive multiple-input multiple-output (MIMO) communication systems. In thisโ€ฆ

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AI & Data Science Preprint PDF DOI

Robust Nonparametric Testing Approaches for Spatial Regression

Kanghyun Wi, Hyoeun Kim, Tomas Mrkvicka, Jorge Mateu, Jaewoo Park ยท 2026

Determining significant covariates is a fundamental problem in spatial regression analysis. However, parametric assumptions limit flexibility and can lead to inaccurate inference when misspecified. Toโ€ฆ

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Physics Preprint PDF DOI

Experimental detection of entanglement in multimode Gaussian states from high-order intensity correlation moments

Ze-Shan He, Yukuan Zhao, Hao-Shu Tian, Kai Sun, Xiao-Ye Xu, Chuan-Feng Li, Guang-Can Guo ยท 2026

Quantum universal invariants of a Gaussian state's covariance matrix, which can be derived from intensity correlation moments, have been adopted to characterize the entanglement properties of Gaussianโ€ฆ

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AI & Data Science Preprint PDF DOI

Learning from a single labeled face and a stream of unlabeled data

Branislav Kveton, Michal Valko ยท 2026

Face recognition from a single image per person is a challenging problem because the training sample is extremely small. We consider a variation of this problem. In our problem, we recognize only one โ€ฆ

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Mathematics Preprint PDF DOI

Finite-time blow-up in a class of chemotaxis systems with spatially heterogeneous diffusion sensitivity

Yashuang Zhao, Shijun Li, Shaopeng Xu ยท 2026

\indent In this paper, we study a class of parabolic-elliptic Keller-Segel systems with diffusion sensitivity dependent on spatial position, given by type \begin{equation} \left\{ \begin{array}{llโ€ฆ

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Computer Science Preprint PDF DOI

SBN Explorer: An Empirical Study of Cryptographic Boolean Networks

Arnaud Valence ยท 2026

Boolean circuits form the foundational computational substrate of symmetric cryptography, yet the exploration of their architectural design space has remained largely confined to a handful of canonicaโ€ฆ

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AI & Data Science Preprint PDF DOI

RIHA: Report-Image Hierarchical Alignment for Radiology Report Generation

Yucheng Chen, Yang Yu, Yufei Shi, Conghao Xiong, Xulei Yang, Si Yong Yeo ยท 2026

Radiology report generation (RRG) has emerged as a promising approach to alleviate radiologists' workload and reduce human errors by automatically generating diagnostic reports from medical images. A โ€ฆ

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Physics Preprint PDF DOI

Computation of frequency- and time-domain Jacobians in optical tomography with Monte Carlo simulations

Pauliina Hirvi, Jaakko Olkkonen, Qianqian Fang, Ilkka Nissila ยท 2026

Significance: Jacobians, or spatially resolved sensitivity profiles, are central to image reconstruction in model-based optical tomography of biological tissue. Although Monte Carlo (MC) simulations aโ€ฆ

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AI & Data Science Preprint PDF DOI

SpatialGrammar: A Domain-Specific Language for LLM-Based 3D Indoor Scene Generation

Song Tang, Kaiyong Zhao, Yuliang Li, Qingsong Yan, Penglei Sun, Junyi Zou, Qiang Wang, Xiaowen Chu ยท 2026

Automatically generating interactive 3D indoor scenes from natural language is crucial for virtual reality, gaming, and embodied AI. However, existing LLM-based approaches often suffer from spatial erโ€ฆ

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AI & Data Science Preprint PDF DOI

Residual Gaussian Splatting for Ultra Sparse-View CBCT Reconstruction

Jian Lin, Jiancheng Fang, Shaoyu Wang, Changan Lai, Yikun Zhang, Yang Chen, Qiegen Liu ยท 2026

While 3D Gaussian splatting (3DGS) offers explicit and efficient scene representations for cone-beam computed tomography reconstruction, conventional photometric optimization inherently suffers from sโ€ฆ

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Mathematics Preprint PDF DOI

Renormalized Solutions for a Class of Nonlinear Parabolic Equation with a Lower Order Term and Variable Exponents

Chunjin Li, Shijun Li, Shaopeng Xu ยท 2026

We consider a class of nonlinear parabolic equations \[ \dfrac{\partial}{\partial t} b(u)-\nabla \cdot (A(x,t,u,\nabla u))+H(x,t,\nabla u)=f , \] where $H$ is a nonlinear lower order term satiโ€ฆ

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AI & Data Science Preprint PDF DOI

Diagnosing Capability Gaps in Fine-Tuning Data

Saeid Asgari Taghanaki, Rakshanda Agarwal, Bruce Sun, Rohan Jha, Elias Stengel-Eskin, Sara Malvar, Rui Ying, Yifei Xu, Guilherme Potje, Tusher Chakraborty, Leonardo de Oliveira Nunes, Ranveer Chandra, Emre Kiciman ยท 2026

Fine-tuning large language models (LLMs) for domain-specific tasks requires training datasets that comprehensively cover the target capabilities a practitioner needs. Yet identifying which capabilitieโ€ฆ

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Mathematics Preprint PDF DOI

Lie bialgebras constructed from Zinbiel bialgebras and Leibniz bialgebras

Bo Hou, Yuanchang Lin ยท 2026

There is a Lie algebra structure on the tensor product of a Leibniz algebra and a Zinbiel algebra for the operads of Leibniz algebras and Zinbiel algebras are Koszul dual. In this paper, we extend sucโ€ฆ

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AI & Data Science Preprint PDF DOI

Belief-Guided Inference Control for Large Language Model Services via Verifiable Observations

Wenhao Yuan, Chenchen Lin, Jian Chen, Jinfeng Xu, Shuo Yang, Edith Cheuk Han Ngai ยท 2026

In black-box large language model (LLM) services, response reliability is often only partially observable at decision time, while stronger inference pathways incur substantial computational cost, induโ€ฆ

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