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Showing 34746 results for "databases"
Physics Preprint PDF DOI

Dartmouth Stellar Evolution Emulator (DSEE) 1: Generative Stellar Evolution Model Database

Jiaqi (Martin) Ying, Brian Chaboyer, Phillip A. Cargile, Wenxin Du, George Dufresne ยท 2026

We present the Dartmouth Stellar Evolution Emulator (DSEE), a flow-based stellar evolution model emulator trained on a comprehensive database comprising over eight million evolutionary tracks that varโ€ฆ

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Chemistry Preprint PDF DOI

The BOS-Lig Dataset: Accurate Ligand Charges from a Consensus Approach for 66,810 Experimentally Synthesized Ligands

Roland G. St. Michel, Ryan J. Jang, Aaron G. Garrison, Ilia Kevlishvili, Heather J. Kulik ยท 2026

Understanding ligand properties is essential for computational high-throughput screening of transition metal complexes. However, ligand properties such as net charge and other information such as theiโ€ฆ

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Computer Science Preprint PDF DOI

All LCA models are wrong. Are some of them useful? Towards open computational LCA in ICT

Vincent Corlay, David Bekri, Marie-Anne Lacroix, Maxime Pelcat, Maxime Peralta, Pierre-Yves Pichon, Leo Saillenfest, Olivier Weppe, Sebastien Rumley ยท 2026

Life Cycle Assessment (LCA) is increasingly used to quantify and regulate the environmental impacts of Information and Communication Technology (ICT) systems. Since direct biosphere measurements are cโ€ฆ

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AI & Data Science Preprint PDF DOI

"OK Aura, Be Fair With Me": Demographics-Agnostic Training for Bias Mitigation in Wake-up Word Detection

Fernando Lopez, Paula Delgado-Santos, Pablo Gomez, David Solans, Jordi Luque ยท 2026

Voice-based interfaces are widely used; however, achieving fair Wake-up Word detection across diverse speaker populations remains a critical challenge due to persistent demographic biases. This study โ€ฆ

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Biology & Life Sciences Preprint PDF DOI

GenomeQA: Benchmarking General Large Language Models for Genome Sequence Understanding

Weicai Long, Yusen Hou, Junning Feng, Houcheng Su, Shuo Yang, Donglin Xie, Yanlin Zhang ยท 2026

Large Language Models (LLMs) are increasingly adopted as conversational assistants in genomics, where they are mainly used to reason over biological knowledge, annotations, and analysis outputs througโ€ฆ

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Physics Preprint PDF DOI

The spatio-temporal statistical structure of the turbulent dissipation field and its stochastic representation as a Gaussian Multiplicative Chaos

Wandrille Ruffenach, Laurent Chevillard ยท 2026

The present article concerns the stochastic modeling of the turbulent dissipation field and in particular its temporal evolution. To do so, we will be calling for a random distribution, ubiquitous in โ€ฆ

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Engineering Preprint PDF DOI

Adaptive Material Fingerprinting for the fast discovery of polyconvex feature combinations in isotropic and anisotropic hyperelasticity

Moritz Flaschel, Hagen Holthusen, Denisa Martonova, Ellen Kuhl ยท 2026

We recently proposed a method called Material Fingerprinting for the rapid discovery of mechanical material models that avoids solving continuous optimization problems. Material Fingerprinting assumesโ€ฆ

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Computer Science Preprint PDF DOI

Time-Domain Voice Identity Morphing (TD-VIM): A Signal-Level Approach to Morphing Attacks on Speaker Verification Systems

Aravinda Reddy PN, Raghavendra Ramachandra, K.Sreenivasa Rao, Pabitra Mitra, Kunal Singh ยท 2026

In biometric systems, it is a common practice to associate each sample or template with a specific individual. Nevertheless, recent studies have demonstrated the feasibility of generating "morphed" biโ€ฆ

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Computer Science Preprint PDF DOI

Towards the Development of an LLM-Based Methodology for Automated Security Profiling in Compliance with Ukrainian Cybersecurity Regulations

Daniil Shafranskyi, Iryna Stopochkina, Mykola Ilin ยท 2026

In recent years, the pace of development of information technology in various areas has increased drastically, forcing cybersecurity specialists to constantly review existing processes in order to preโ€ฆ

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Computer Science Preprint PDF DOI

CobbleDB: Modelling Levelled Storage by Composition

Emilie Ma (UBC), Ayush Pandey (TSP), Annette Bieniusa (RPTU), Marc Shapiro (DELYS) ยท 2026

We present a composition-based approach to building correctby-construction database backing stores. In previous work, we specified the behaviour of several store variants and proved their correctness โ€ฆ

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AI & Data Science Preprint PDF DOI

Auditable Agents

Yi Nian, Aojie Yuan, Haiyue Zhang, Jiate Li, Yue Zhao ยท 2026

LLM agents call tools, query databases, delegate tasks, and trigger external side effects. Once an agent system can act in the world, the question is no longer only whether harmful actions can be prevโ€ฆ

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Computer Science Preprint PDF DOI

Can You Trust the Vectors in Your Vector Database? Black-Hole Attack from Embedding Space Defects

Hanxi Li, Jianan Zhou, Jiale Lao, Yibo Wang, Zhengmao Ye, Yang Cao, Junfen Wang, Mingjie Tang ยท 2026

Vector databases serve as the retrieval backbone of modern AI applications, yet their security remains largely unexplored. We propose the Black-Hole Attack, a poisoning attack that injects a small numโ€ฆ

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Computer Science Preprint PDF DOI

MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library

Md Shamimul Islam, Luis G. Jaimes, Ayesha S. Dina ยท 2026

Network Intrusion Detection Systems (NIDS) face important limitations. Signature-based methods are effective for known attack patterns, but they struggle to detect zero-day attacks and often miss modiโ€ฆ

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AI & Data Science Preprint PDF DOI

Automated Auditing of Hospital Discharge Summaries for Care Transitions

Akshat Dasula, Prasanna Desikan, Jaideep Srivastava ยท 2026

Incomplete or inconsistent discharge documentation is a primary driver of care fragmentation and avoidable readmissions. Despite its critical role in patient safety, auditing discharge summaries relieโ€ฆ

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AI & Data Science Preprint PDF DOI

HYVE: Hybrid Views for LLM Context Engineering over Machine Data

Jian Tan, Fan Bu, Yuqing Gao, Dev Khanolkar, Jason Mackay, Boris Sobolev, Lei Jin, Li Zhang ยท 2026

Machine data is central to observability and diagnosis in modern computing systems, appearing in logs, metrics, telemetry traces, and configuration snapshots. When provided to large language models (Lโ€ฆ

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Computer Science Preprint PDF DOI

Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation

Xing Tang, Jingyang Bin, Ziqiang Cui, Xiaokun Zhang, Fuyuan Lyu, Jingyan Jiang, Dugang Liu, Chen Ma, Xiuqiang He ยท 2026

The sequential recommendation (SR) task aims to predict the next item based on users' historical interaction sequences. Typically trained on historical data, SR models often struggle to adapt to real-โ€ฆ

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AI & Data Science Preprint PDF DOI

Blind-Spot Mass: A Good-Turing Framework for Quantifying Deployment Coverage Risk in Machine Learning Systems

Biplab Pal, Santanu Bhattacharya, Madanjit Singh ยท 2026

Blind-spot mass is a Good-Turing framework for quantifying deployment coverage risk in machine learning. In modern ML systems, operational state distributions are often heavy-tailed, implying that a lโ€ฆ

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Computer Science Preprint PDF DOI

Query Optimization and Evaluation via Information Theory: A Tutorial

Mahmoud Abo Khamis, Hung Q. Ngo, Dan Suciu ยท 2026

Database theory is exciting because it studies highly general and practically useful abstractions. Conjunctive query (CQ) evaluation is a prime example: it simultaneously generalizes graph pattern matโ€ฆ

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Computer Science Preprint PDF DOI

GPIR: Enabling Practical Private Information Retrieval with GPUs

Hyesung Ji, Hyunah Yu, Jongmin Kim, Wonseok Choi, G. Edward Suh, Jung Ho Ahn ยท 2026

Private information retrieval (PIR) allows private database queries but is hindered by intense server-side computation and memory traffic. Modern lattice-based PIR protocols typically involve three phโ€ฆ

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AI & Data Science Preprint PDF DOI

OpenCLAW-P2P v6.0: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review

Francisco Angulo de Lafuente, Teerth Sharma, Vladimir Veselov, Seid Mohammed Abdu, Nirmal Tej Kumar, Guillermo Perry ยท 2026

This paper presents OpenCLAW-P2P v6.0, a comprehensive evolution of the decentralized collective-intelligence platform in which autonomous AI agents publish, peer-review, score, and iteratively improvโ€ฆ

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