Suchergebnisse - "predictive modeling"

Explainable artificial intelligence (XAI) for material design and engineering applications: a quantitative computational framework

Autoren: Liu, Bokai Liu, Pengju Lu, Weizhuo, Professor et al.

Quelle: International Journal of Mechanical System Dynamics. 5(2):236-265

Schlagwörter: explainable artificial intelligence (XAI), high-performance concrete, material informatics, predictive modeling, science cloud deployment

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-239423
https://doi.org/10.1002/msd2.70017

A 3-Minute Work Capacity Test Predicts Simulated Firefighting Performance.

Autoren: ten Siethoff, Lasse Petré, Henrik Ovendal, Alexander et al.

Quelle: Journal of Strength and Conditioning Research. 39(5):e692-e700

Schlagwörter: predictive modeling, tactical occupational fitness, task-specific training, pyramid test, aerobic capacity, strength evaluation, Medicin/Teknik, Medicine/Technology

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:gih:diva-8549
https://doi.org/10.1519/JSC.0000000000005068

Seascape genomics: Assisting marine biodiversity management by combining genetic knowledge with environmental and ecological information

Autoren: Rieder, Jessica Jahnke, Marlene André, Carl et al.

Quelle: Marine Policy. 182

Schlagwörter: Biodiversity, Conservation management, Environmental management, Genetic diversity, Predictive modeling, Seascape genomics

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-247271
https://doi.org/10.1016/j.marpol.2025.106867

Predicting Therapy Outcomes in Patients With Stress-Related Disorders: Protocol for a Predictive Modeling Study

Autoren: Föyen, Ludwig Franke Sennerstam, Victoria Kontio, Evelina et al.

Quelle: JMIR Research Protocols. 14

Schlagwörter: adjustment disorder, cognitive behavioral therapy, exhaustion disorder, machine learning, predictive modeling, psychological stress, therapy outcome

Dateibeschreibung: print

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-242317
https://doi.org/10.2196/65790

A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data

Autoren: Pei Xue Tianshun Li

Quelle: Journal of Economy and Technology, Vol 4, Iss, Pp 9-19 (2026)

Schlagwörter: High-dimensional data, Socioeconomic forecasting, Economics as a science, Electronic computers. Computer science, Supervised variational autoencoder, Social Sciences, QA75.5-76.95, Dimensionality reduction, HB71-74, Nonlinear representation learning, Predictive modeling

Zugangs-URL: https://doaj.org/article/38a6a8d09a8045ceaf6f58f757d3bf5e

Enhanced Predictive Modeling for Non-Invasive Liver Disease Diagnosis

Autoren: Prabowo, Donni Bety Wulan Sari Yoga Pristyanto et al.

Quelle: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 9 No 4 (2025): August 2025; 745-753

Schlagwörter: CatBoost, Liver disease classification, Machine learning, Predictive modeling

Dateibeschreibung: application/pdf

Zugangs-URL: https://jurnal.iaii.or.id/index.php/RESTI/article/view/6449

Predicting excavation-induced lateral displacement using improved particle swarm optimization and extreme learning machine with sparse measurements

Autoren: Cheng Chen Guan-Nian Chen Song Feng et al.

Quelle: Underground Space, Vol 23, Iss, Pp 125-145 (2025)

Schlagwörter: Automated monitoring, Extreme learning machine, Lateral displacement, Particle swarm optimization, TA703-712, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, Deep excavation, Predictive modeling

Zugangs-URL: https://doaj.org/article/8faa5804c330458ebe152f9dc4999f4d

Designing and Evaluating AI-Powered Predictive Models for Detecting Unemployment Insurance Fraud: A Data-Driven Approach to Enhancing the Integrity of U.S. Public Benefit Systems

Autoren: Zimbe, Ivan Onaji, Vincent Zeyeum, Justin Njimgou et al.

Quelle: International Journal of Science and Research Archive. 16:2276-2336

Schlagwörter: Machine Learning, Big Data, Deep Learning, Public Administration, Unemployment Insurance, Fraud Detection, Anomaly Detection, Unsupervised Learning, Real-Time Systems, Graph Neural Networks, Predictive Modeling, Explainable AI (XAI), Supervised Learning

AI in population health: Scaling preventive models for age-related diseases in the United States

Autoren: Taiwo, Kamorudeen Abiola

Quelle: International Journal of Science and Research Archive. 16:1240-1260

Schlagwörter: Artificial intelligence, Aging, Preventive care, Chronic diseases, Population health, Healthcare economics, Predictive modeling

Cybersecurity threats in the financial sector: Analyzing attack types, Vulnerabilities, and response mechanisms across geopolitical contexts (2015–2024)

Autoren: Bello, Abdul-waliyyu Wonuola, Idris Izundu, Anastesia et al.

Quelle: International Journal of Science and Research Archive. 16:134-150

Schlagwörter: Cybersecurity, Threat classification, Geopolitical risk, Machine learning, Financial sector, Predictive modeling

Predictive Modeling of Microsleep Incidents in Indonesian Drivers Using Random Forest: A Data-Driven Approach for Road Safety Enhancement

Autoren: Astri Lestari Ainun Rahmawati Siti Shofiah et al.

Quelle: Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi; Vol. 4 No. 2 (2025); 62-72

Schlagwörter: Vehicle Safety System, Random Forest, Microsleep, Driver Fatigue, Predictive Modeling

Dateibeschreibung: application/pdf

Zugangs-URL: https://journal.uii.ac.id/jurnalsnati/article/view/39984

Analysis and 15-Year Projections of the Global Burden of Tension-Type Headache by Sex from 1990 to 2021: A Systematic Review of GBD 2021 Data

Autoren: Xu H Qin X Zhao G et al.

Quelle: J Pain Res
Journal of Pain Research, Vol Volume 18, Iss Issue 1, Pp 3505-3517 (2025)

Schlagwörter: Medicine (General), Predictive modeling, R5-920, Epidemiological trends, Gender differences, Joinpoint regression analysis, Disease burden decomposition, Tension-type headache, Original Research

Zugangs-URL: https://doaj.org/article/720d41778da149f0b518440adc33ff48

How big data and AI are changing business growth

Autoren: Wash-Anigboro, Oghenetega Deborah Odinaka, Nnadozie Ajayi, Olajumoke Oluwagbemisola

Quelle: GSC Advanced Research and Reviews. 23:258-264

Schlagwörter: Big Data, Data Tools, Artificial Intelligence, Ethical Challenges, Business Growth, Predictive Modeling

Machine learning-based detection of medical service anomalies: Kazakhstan’s health insurance data

Autoren: Maksut Kulzhanov Alexander Wagner Abylkair Skakov et al.

Quelle: Central Asian Journal of Medical Hypotheses and Ethics, Vol 6, Iss 2, Pp 133-141 (2025)

Schlagwörter: machine learning, R723-726, Medical philosophy. Medical ethics, health insurance, healthcare analytics, data science, artificial intelligence, kazakhstan, predictive modeling

Zugangs-URL: https://doaj.org/article/8a5fba8964624021b7c8778cad08f485

Evolution of public broadcasting: TeleJurnal’s viewership trends and strategic implications for business sustainability

Autoren: Săseanu Ramona Stanomir Ruxandra Bădulescu Andreea-Alexandra

Quelle: Management şi Marketing, Vol 20, Iss 2, Pp 1-10 (2025)

Schlagwörter: tvr, HF5001-6182, public television, digital transformation, competitive advantage, Business, telejurnal, audience retention, predictive modeling

Zugangs-URL: https://doaj.org/article/acecee67253f41209b9302b133e32999

On exploring features engineering and machine learning algorithms in the domain of clinical-psychological

Autoren: Baiyang Liu Da He Jia Li et al.

Quelle: Alexandria Engineering Journal, Vol 123, Iss, Pp 488-496 (2025)

Schlagwörter: Feature engineering, Machine learning models, Clinical-psychological, TA1-2040, Engineering (General). Civil engineering (General), Predictive modeling

Zugangs-URL: https://doaj.org/article/6df44b9ff86c46b28aef2188360429f4

Construction and Validation of Risk Scoring Model for Inadequate Bowel Preparation in Elderly Patients Undergoing Colonoscopy

Autoren: Xu Y Ou S Yuan X et al.

Quelle: Ther Clin Risk Manag
Therapeutics and Clinical Risk Management, Vol Volume 21, Iss Issue 1, Pp 885-894 (2025)

Schlagwörter: Elderly, Risk score, Colonoscopy, Therapeutics. Pharmacology, RM1-950, Predictive modeling, Inadequate bowel preparation, Original Research

Zugangs-URL: https://doaj.org/article/0cf732e924ec4ec899fc18cdc0424326

To the analysis of methods and mechanisms of predictive modeling of onboard equipment reliability when solving problems of aircraft maintenance workload planning

Autoren: B. I. Ogunvoul V. D. Budaev D. O. Sizikov et al.

Quelle: Научный вестник МГТУ ГА, Vol 28, Iss 2, Pp 35-50 (2025)

Schlagwörter: poisson distribution regression, operational efficiency, aircraft maintenance planning, TL1-4050, data-driven maintenance optimization, statistical methods in reliability engineering, stochastic processes modeling, predictive modeling of maintenance processes, flight safety standards, reliability assessment, Motor vehicles. Aeronautics. Astronautics

Zugangs-URL: https://doaj.org/article/23879610815649b3a21c4fe629a1fa74

Predicting economic resilience: A machine learning approach to rural development

Autoren: Shun Du Yajuan Xu Lei Wang

Quelle: Alexandria Engineering Journal, Vol 121, Iss, Pp 193-200 (2025)

Schlagwörter: Economic resilience, Machine learning models, TA1-2040, Engineering (General). Civil engineering (General), ARIMA predictive modeling, GDP

Zugangs-URL: https://doaj.org/article/ff0415af9eae4cc78d5eee5f4dbbdf42

Stochastic-based pavement performance and deterioration models: A review of techniques and applications

Autoren: Che Shobry Shahid Zulhilmi Amir Zainal Nur Izzi Md Yusoff et al.

Quelle: Alexandria Engineering Journal, Vol 120, Iss, Pp 420-437 (2025)

Schlagwörter: Semi-Markov model, Stochastic predictive modeling, Pavement deterioration, Markov process, Weibull distribution, Pavement performance prediction, TA1-2040, Engineering (General). Civil engineering (General)

Zugangs-URL: https://doaj.org/article/6ff19f83a8734569bde6e8c5f9f798a7