Výsledky vyhledávání - database (Applications—statistical OR Applications—statistics) databases general terms algorithms*

Privacy preserving database application testing

Autoři: Xintao Wu Yongge Wang Yuliang Zheng a další

Přispěvatelé: Xintao Wu Yongge Wang Yuliang Zheng a další

Zdroj: http://coitweb.uncc.edu/~yonwang/papers/dbtest.pdf.

Témata: Categories and Subject Descriptors D.2.5 [Software Engineering, Testing and Debugging— testing tools, H.1.1 [Models and Principles, Systems and Information Theory—information theory, H.2.8 [Database Management, Database Applications—statistical databases General Terms Algorithms, performance, security, theory

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.5023; http://coitweb.uncc.edu/~yonwang/papers/dbtest.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.331.5023
http://coitweb.uncc.edu/~yonwang/papers/dbtest.pdf

Text Mining arXiv: A Look Through Quantitative Finance Papers.

Autoři: Bianchi, Michele Leonardo

Zdroj: Mathematics (2227-7390); May2025, Vol. 13 Issue 9, p1375, 20p

Témata: TEXT mining, DATABASE management software, RESEARCH personnel, FINANCIAL research, QUANTITATIVE research

BlueEdge: application design for big data cleaning processing using mobile edge computing environments.

Autoři: Elmobark, Nagwa El-ghareeb, Haitham Elhishi, Sara

Zdroj: Journal of Big Data; 8/21/2025, Vol. 12 Issue 1, p1-39, 39p

Témata: BIG data, EDGE computing, DATA scrubbing, INTERNET of things, NATURAL language processing, DATABASES

Optimizing linear counting queries under differential privacy

Autoři: Chao Li Michael Hay Vibhor Rastogi a další

Přispěvatelé: Chao Li Michael Hay Vibhor Rastogi a další

Zdroj: http://www.cs.cornell.edu/%7Emhay/papers/li2010optimizing.pdf.

Témata: Categories and Subject Descriptors, H.2.8 [Database Management, Database Applications—Statistical databases, G.1 [Numerical Analysis, Optimization General Terms, Algorithms, Security, Theory Keywords, private data analysis, output perturbation, differential privacy, semidefinite

Popis souboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.233.1235; http://www.cs.cornell.edu/%7Emhay/papers/li2010optimizing.pdf

Dostupnost: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.233.1235
http://www.cs.cornell.edu/%7Emhay/papers/li2010optimizing.pdf

Research Practice and Progress of Models and Algorithms Applied in Topic Identification and Prediction Based on the Analysis of CNKI.

Autoři: Guo, Sicheng Si, Li Liu, Xianrui

Zdroj: Applied Sciences (2076-3417); Jul2023, Vol. 13 Issue 13, p7545, 26p

Témata: DEEP learning, MACHINE learning, ALGORITHMS, TEXT mining, BIBLIOMETRICS, DATABASES

CONFIDENCE INTERVALS FOR THE PARAMETER OF THE IWUEZE DISTRIBUTION WITH APPLICATIONS TO MEDICAL AND ENGINEERING DATA.

Autoři: Wararit Panichkitkosolkul

Zdroj: Reliability: Theory & Applications; Jun2024, Vol. 19 Issue 2, p526-543, 18p

Témata: CONFIDENCE intervals, ENGINEERING databases, GAMMA distributions

Predicting the Level of Competition and Determining Optimal Bidding Strategies for Bundled Projects: Integrating Machine-Learning Algorithms and Probabilistic Modeling.

Autoři: Charbel, Ghadi Assaad, Rayan H. Qiao, Yu a další

Zdroj: Journal of Construction Engineering & Management; Nov2025, Vol. 151 Issue 11, p1-23, 23p

Témata: MACHINE learning, BIDDING strategies, PRODUCT bundling, STOCHASTIC models, INFRASTRUCTURE (Economics), PROFIT margins, LETTING of contracts

A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013–2024)

Autoři: Sriraam, Natarajan Chinta, Babu Seshadri, Suresh a další

Zdroj: Artificial Intelligence Review; May2025, Vol. 58 Issue 5, p1-49, 49p

Deep learning for sports motion recognition with a high-precision framework for performance enhancement.

Autoři: Yang, Yang Mohammadzadeh, Fallah Khishe, Mohammad a další

Zdroj: Scientific Reports; 11/6/2025, Vol. 15 Issue 1, p1-26, 26p

Predicting prolonged hospitalization in asthma patients: model development and external validation.

Autoři: Ma, Xinkai Li, Peiqi Li, Yupeng a další

Zdroj: Journal of Asthma; Sep2025, Vol. 62 Issue 9, p1616-1626, 11p

Témata: ASTHMA, MACHINE learning, HEALTH outcome assessment, MODEL validation, ENSEMBLE learning, DIAGNOSIS, PREDICTION models, HOSPITAL care

Interpretable machine learning models to predict short-term postoperative outcomes following posterior cervical fusion.

Autoři: Karabacak, Mert Margetis, Konstantinos

Zdroj: PLoS ONE; 7/21/2023, Vol. 18 Issue 7, p1-13, 13p

Témata: TREATMENT effectiveness, RECEIVER operating characteristic curves, MACHINE learning, PREDICTIVE validity, MEDICAL protocols, WEB-based user interfaces, UNIFORM Resource Locators, PREDICTION models

Korporace: AMERICAN College of Surgeons

A literature review of green location routing problem: a comprehensive analysis of problems, objectives and methodologies.

Autoři: Li, Yan Lim, Ming K. Tseng, Ming-Lang a další

Zdroj: International Journal of Logistics: Research & Applications; Nov2025, Vol. 28 Issue 11, p1271-1290, 20p

Témata: GREENHOUSE gases, CARBON emissions, SYSTEMS theory, LOCATION problems (Programming), SUSTAINABILITY, COLD storage warehouses, UNIVERSITY research, LOGISTICS

Comparative Analysis of Currency Exchange and Stock Markets in BRICS Using Machine Learning to Forecast Optimal Trends for Data-Driven Decision Making.

Autoři: Abir, Shake Ibna Shoha, Shaharina Al Shiam, Sarder Abdulla a další

Zdroj: Journal of Economics, Finance & Accounting Studies; Jan/Feb2025, Vol. 7 Issue 1, p26-48, 23p

Témata: LONG short-term memory, ECONOMIC forecasting, FOREIGN exchange, STANDARD deviations, INVESTMENT policy

Using Grey System Analysis Methods and Models to Achieve the Design and Optimization of Aviation Tire Rubber Formulations.

Autoři: Sifeng Liu Jize Wang Shaolin Ma a další

Zdroj: Journal of Grey System; 2025, Vol. 37 Issue 5, p1-10, 10p

Development and usability of a mobile artificial intelligence platform for the management of childhood developmental disorders based on PHRs.

Autoři: Choi, Eun Kyung Choi, Haemi Kim, Jungun a další

Zdroj: Health Informatics Journal; Apr-Jun2025, Vol. 31 Issue 2, p1-14, 14p

Témata: MOBILE apps, DOCUMENTATION, RESEARCH funding, COMPUTER-assisted image analysis (Medicine), MENTAL status examination, ARTIFICIAL intelligence, HIGH performance computing, MAGNETIC resonance imaging, DESCRIPTIVE statistics, CLINICAL pathology, WORKFLOW, MEDICAL records, CHILD development deviations, ELECTRONIC health records, ATTITUDES of medical personnel, SOFTWARE architecture, COMPUTER input-output equipment, FACTOR analysis, DATA analysis software, ALGORITHMS, CAREGIVER attitudes

TextBenDS: a Generic Textual Data Benchmark for Distributed Systems.

Autoři: Truică, Ciprian-Octavian Apostol, Elena-Simona Darmont, Jérôme a další

Zdroj: Information Systems Frontiers; Feb2021, Vol. 23 Issue 1, p81-100, 20p, 3 Diagrams, 7 Charts, 6 Graphs

Témata: MACHINE learning, BIG data, DATABASES, TASK analysis, STATISTICAL weighting

Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods.

Autoři: Settembre, Gaetano Esposito, Flavia Del Buono, Nicoletta

Zdroj: Advanced Modeling & Simulation in Engineering Sciences; 10/15/2025, Vol. 12 Issue 1, p1-30, 30p

Semantic wikis as flexible database interfaces for biomedical applications.

Autoři: Falda, Marco Atzori, Manfredo Corbetta, Maurizio

Zdroj: Scientific Reports; 1/19/2023, Vol. 13 Issue 1, p1-12, 12p

Témata: WIKIS, DATABASES, MEDICAL geography, PHYSICIANS, STATISTICS, BIOMETRY

Korporace: UNIVERSITA di Padova

Hybrid fragmentation of medical images' attributes for multidimensional indexing.

Autoři: Safaei, Ali Asghar

Zdroj: Cluster Computing; Feb2022, Vol. 25 Issue 1, p215-230, 16p

Témata: DIAGNOSTIC imaging, PRECISION (Information retrieval), INFORMATION storage & retrieval systems, SEARCH engines, DISTRIBUTED databases, DATABASE design, ONTOLOGIES (Information retrieval)

Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT.

Autoři: Sharma, Shubhi Singh, Yeshwant Choudhury, Tanupriya

Zdroj: Discover Artificial Intelligence; 7/29/2025, Vol. 5 Issue 1, p1-21, 21p

Témata: BREAST cancer, MAMMOGRAMS, CONVOLUTIONAL neural networks, COMPARATIVE studies, DEEP learning, ARTIFICIAL intelligence, RESEARCH evaluation