Suchergebnisse - database (applications—statistical OR applications—statistik) databases general terms algorithms*

Privacy preserving database application testing

Autoren: Xintao Wu Yongge Wang Yuliang Zheng et al.

Weitere Verfasser: Xintao Wu Yongge Wang Yuliang Zheng et al.

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

Schlagwörter: 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

Dateibeschreibung: application/pdf

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

Verfügbarkeit: 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.

Autoren: Bianchi, Michele Leonardo

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

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

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

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

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

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

Optimizing linear counting queries under differential privacy

Autoren: Chao Li Michael Hay Vibhor Rastogi et al.

Weitere Verfasser: Chao Li Michael Hay Vibhor Rastogi et al.

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

Schlagwörter: 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

Dateibeschreibung: 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

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

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

Autoren: Charbel, Ghadi Assaad, Rayan H. Qiao, Yu et al.

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

Schlagwörter: 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)

Autoren: Sriraam, Natarajan Chinta, Babu Seshadri, Suresh et al.

Quelle: 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.

Autoren: Yang, Yang Mohammadzadeh, Fallah Khishe, Mohammad et al.

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

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

Autoren: Ma, Xinkai Li, Peiqi Li, Yupeng et al.

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

Schlagwörter: 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.

Autoren: Karabacak, Mert Margetis, Konstantinos

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

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

Firma/Körperschaft: AMERICAN College of Surgeons

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

Autoren: Abir, Shake Ibna Shoha, Shaharina Al Shiam, Sarder Abdulla et al.

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

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

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

Autoren: Choi, Eun Kyung Choi, Haemi Kim, Jungun et al.

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

Schlagwörter: 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.

Autoren: Truică, Ciprian-Octavian Apostol, Elena-Simona Darmont, Jérôme et al.

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

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

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

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

Quelle: 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.

Autoren: Falda, Marco Atzori, Manfredo Corbetta, Maurizio

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

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

Firma/Körperschaft: UNIVERSITA di Padova

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

Autoren: Sharma, Shubhi Singh, Yeshwant Choudhury, Tanupriya

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

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

FAIR and Structured Data: A Domain Ontology Aligned with Standard‐Compliant Tensile Testing.

Autoren: Schilling, Markus Bayerlein, Bernd von Hartrott, Philipp et al.

Quelle: Advanced Engineering Materials; Apr2025, Vol. 27 Issue 8, p1-19, 19p

Schlagwörter: RDF (Document markup language), KNOWLEDGE representation (Information theory), TENSILE tests, SEMANTIC Web, ARTIFICIAL intelligence

Large-scale template-based structural modeling of T-cell receptors with known antigen specificity reveals complementarity features.

Autoren: Shcherbinin, Dmitrii S. Karnaukhov, Vadim K. Zvyagin, Ivan V. et al.

Quelle: Frontiers in Immunology; 2023, p1-14, 14p

Schlagwörter: ANTIGEN receptors, STRUCTURAL models, AMINO acid residues, T cells, MAJOR histocompatibility complex

Ambulatory atrial fibrillation detection and quantification by wristworn AI device compared to standard holter monitoring.

Autoren: van Vliet, Mariska Aalberts, Jan J. J. Hamelinck, Cora et al.

Quelle: NPJ Digital Medicine; 3/25/2025, Vol. 8 Issue 1, p1-10, 10p

Schlagwörter: ATRIAL fibrillation diagnosis, STATISTICAL correlation, ARTIFICIAL intelligence, AMBULATORY electrocardiography, DESCRIPTIVE statistics, DISEASE prevalence, RESEARCH, ALGORITHMS, SENSITIVITY & specificity (Statistics)

Driving Healthcare Monitoring with IoT and Wearable Devices: A Systematic Review.

Autoren: Baiense, João Zdravevski, Eftim Coelho, Paulo et al.

Quelle: ACM Computing Surveys; Nov2025, Vol. 57 Issue 11, p1-38, 38p

Schlagwörter: ARTIFICIAL intelligence, INTERNET of medical things, GSM communications, ARTIFICIAL neural networks, BIOENGINEERING, PULSE oximeters, EYE tracking

Lightweight Signal Processing and Edge AI for Real-Time Anomaly Detection in IoT Sensor Networks.

Autoren: Reis, Manuel J. C. S.

Quelle: Sensors (14248220); Nov2025, Vol. 25 Issue 21, p6629, 22p

Schlagwörter: INTERNET of things, ANOMALY detection (Computer security), SIGNAL processing, MACHINE learning, EDGE computing, SENSOR networks, REAL-time computing