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Showing 34746 results for "databases"
Physics Preprint PDF DOI

Singing Materials: Initial experiments in applying sonification to phonon spectra

Lucy Whalley, Rose Shepherd, Jorge Boehringer, Shelly Knotts, Paul Vickers, George Caselton, Christopher Harrison, Bennett Hogg, Daniel Ratliff, Carol Davenport, Antonio Portas ยท 2026

Solid materials may appear static, but at the atomic scale they are in constant vibrational motion. These vibrations, described by phonons, govern many key material properties, including structural stโ€ฆ

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Computer Science Preprint PDF DOI

DeepEye: A Steerable Self-driving Data Agent System

Boyan Li, Yiran Peng, Yupeng Xie, Sirong Lu, Yizhang Zhu, Xing Mu, Xinyu Liu, Yuyu Luo ยท 2026

Large Language Models (LLMs) have revolutionized natural language interaction with data. The "holy grail" of data analytics is to build autonomous Data Agents that can self-drive complex data analysisโ€ฆ

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AI & Data Science Preprint PDF DOI

An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review

Zaifu Zhan, Yu Hou, Kai Yu, Min Zeng, Anita Burgun, Xiaoyi Chen, Rui Zhang ยท 2026

Rare diseases affect over 300 million people worldwide and are characterized by complex care pathways, limited clinical expertise, and substantial unmet communication needs throughout the long patientโ€ฆ

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AI & Data Science Preprint PDF DOI

ChemCLIP: Bridging Organic and Inorganic Anticancer Compounds Through Contrastive Learning

Mohamad Koohi-Moghadam, Hongzhe Sun, Hongyan Li, Kyongtae Tyler Bae ยท 2026

The discovery of anticancer therapeutics has traditionally treated organic small molecules and metal-based coordination complexes as separate chemical domains, limiting knowledge transfer despite theiโ€ฆ

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Computer Science Preprint PDF DOI

Data-informed healthcare service design for multiple long-term conditions using online patient stories

Ji Han, Marta Staff, Saeema Ahmed-Kristensen ยท 2026

Conventional service design methods are valuable for improving healthcare experience, but are limited in scale and information capture. Based on a constructed database of 2,320 stories from patients aโ€ฆ

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AI & Data Science Preprint PDF DOI

Bit-Identical Medical Deep Learning via Structured Orthogonal Initialization

Yakov Pyotr Shkolnikov ยท 2026

Deep learning training is non-deterministic: identical code with different random seeds produces models that agree on aggregate metrics but disagree on individual predictions, with per-class AUC swingโ€ฆ

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Computer Science Preprint PDF DOI

Policy-Driven Vulnerability Risk Quantification framework for Large-Scale Cloud Infrastructure Data Security

Wanru Shao ยท 2026

The exponential growth of Common Vulnerabilities and Exposures (CVE) disclosures poses significant challenges for enterprise security management, necessitating automated and quantitative risk assessmeโ€ฆ

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AI & Data Science Preprint PDF DOI

Towards Emotion Recognition with 3D Pointclouds Obtained from Facial Expression Images

Laura Rayon Ropero, Jasper De Laet, Filip Lemic, Pau Sabater Nacher, Nabeel Nisar Bhat, Sergi Abadal, Jeroen Famaey, Eduard Alarcon, Xavier Costa-Perez ยท 2026

Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ranging applications in Human Computer Interaction, mental health assessment and fatigue monitoring. Cโ€ฆ

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Computer Science Preprint PDF DOI

Enzyme: Incremental View Maintenance for Data Engineering

Ritwik Yadav, Supun Abeysinghe, Min Yang, Jeffrey Helt, Manuel Ung, Yuhong Chen, Melody Hu, William Wei, Yiming Yang, Tom van Bussel, Sourav Chatterji, Indrajit Roy, Paul Lappas, Yannis Papakonstantinou, Tahir Fayyaz, Bilal Aslam, Ross Bunker, Michael Armbrust, Shrikanth Shankar ยท 2026

Materialized views are a core construct in database systems, used to accelerate analytical queries and optimize batch pipelines for extract-transform-load (ETL) workflows. Maintaining view consistencyโ€ฆ

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Computer Science Preprint PDF DOI

The Case for Multi-Version Experimental Evaluation (MVEE)

Simon Jorz, Felix Schuhknecht ยท 2026

In the database community, we typically evaluate new methods based on experimental results, which we produce by integrating the proposed method along with a set of baselines in a single benchmarking cโ€ฆ

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Computer Science Preprint PDF DOI

NeedleDB: A Generative-AI Based System for Accurate and Efficient Image Retrieval using Complex Natural Language Queries

Mahdi Erfanian, Abolfazl Asudeh ยท 2026

We demonstrate NeedleDB, an open-source, deployment-ready database system for answering complex natural language queries over image data. Unlike existing approaches that rely on contrastive-learning eโ€ฆ

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Computer Science Preprint PDF DOI

RSR-core: A High-Performance Engine for Low-Bit Matrix-Vector Multiplication

Mohsen Dehghankar, Abolfazl Asudeh ยท 2026

Matrix-vector multiplication is a fundamental building block in neural networks, vector databases, and large language models, particularly during inference. As a result, efficient matrix-vector multipโ€ฆ

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AI & Data Science Preprint PDF DOI

Self-Describing Structured Data with Dual-Layer Guidance: A Lightweight Alternative to RAG for Precision Retrieval in Large-Scale LLM Knowledge Navigation

Hung Ming Liu ยท 2026

Large Language Models (LLMs) exhibit a well-documented positional bias when processing long input contexts: information in the middle of a context window receives substantially less attention than conโ€ฆ

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Physics Preprint PDF DOI

From Foundation ECG Models to NISQ Learners: Distilling ECGFounder into a VQC Student

Giovanni dos Santos Franco, Felipe Mahlow, Ellison Fernando Cardoso, Felipe Fanchini ยท 2026

Foundation models have recently improved electrocardiogram (ECG) representation learning, but their deployment can be limited by computational cost and latency constraints. In this work, we fine-tune โ€ฆ

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Mathematics Preprint PDF DOI

PHOEG: an online tool for discovery and education in extremal graph theory

Sebastien Bonte, Gauvain Devillez, Valentin Dusollier, Hadrien Melot ยท 2026

Extremal Graph Theory heavily relies on exploring bounds and inequalities between graph invariants, a task complicated by the rapid combinatorial explosion of graphs. Various tools have been developedโ€ฆ

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AI & Data Science Preprint PDF DOI

A Tight Expressivity Hierarchy for GNN-Based Entity Resolution in Master Data Management

Ashwin Ganesan ยท 2026

Entity resolution -- identifying database records that refer to the same real-world entity -- is naturally modelled on bipartite graphs connecting entity nodes to their attribute values. Applying a meโ€ฆ

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Computer Science Preprint PDF DOI

WAter: A Workload-Adaptive Knob Tuning System based on Workload Compression

Yibo Wang, Jiale Lao, Chen Zhang, Cehua Yang, Jianguo Wang, Mingjie Tang ยท 2026

Selecting appropriate values for the configurable parameters of Database Management Systems (DBMS) to improve performance is a significant challenge. Recent machine learning (ML)-based tuning systems โ€ฆ

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Engineering Preprint PDF DOI

Quantitative measurements of biological/chemical concentrations using smartphone cameras

Zhendong Cao, Hongji Dai, Zhida Li, Ash Parameswaran ยท 2026

This paper presents a smartphone-based imaging system capable of quantifying the concentration of an assortment of biological/chemical assay samples. The main objective is to construct an image databaโ€ฆ

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Chemistry Preprint PDF DOI

ADEPT-PolyGraphMT: Automated Molecular Simulation and Multi-Task Multi-Fidelity Machine Learning for Polymer Property Generation and Prediction

Sobin Alosious, Yuhan Liu, Jiaxin Xu, Gang Liu, Renzheng Zhang, Meng Jiang, Tengfei Luo ยท 2026

The discovery of polymers with targeted properties is challenged by the vast chemical design space and the limited availability of consistent, high-quality data across multiple properties. In this worโ€ฆ

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Biology & Life Sciences Preprint PDF DOI

Autonomous Agent-Orchestrated Digital Twins (AADT): Leveraging the OpenClaw Framework for State Synchronization in Rare Genetic Disorders

Hongzhuo Chen, Zhanliang Wang, Quan M. Nguyen, Gongbo Zhang, Chunhua Weng, Kai Wang ยท 2026

Background: Medical Digital Twins (MDTs) are computational representations of individual patients that integrate clinical, genomic, and physiological data to support diagnosis, treatment planning, andโ€ฆ

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