Výsledky vyhľadávania - "predictive analytics"

Insights into the temporal dynamics of identifying problem gambling on an online casino: A machine learning study on routinely collected individual account data

Autori: Andersson, Sam Carlbring, Per Lyon, Keenan a ďalší

Zdroj: Journal of Behavioral Addictions. 14(1):490-500

Predmety: gambling behavior, machine learning, predictive analytics, problem gambling, public health, temporal stability, psykologi, Psychology

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-242192
https://doi.org/10.1556/2006.2025.00013

AI-Enabled Predictive Analytics in Smart Grids: The Case of Sweden

Autori: Kindong, Theodore Johansson, Björn Paulsson, Victoria

Zdroj: Complex Systems Informatics and Modeling Quarterly. (42):43-62

Predmety: Smart Grids, Artificial Intelligence, Predictive Analytics, AI Techniques, Smart Grids Stability, AI Interpretability

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213396
https://liu.diva-portal.org/smash/get/diva2:1956031/FULLTEXT01.pdf

Robot digital twin systems in manufacturing: Technologies, applications, trends and challenges

Autori: Qin, Qiang Liu, Zhihao Zhong, Ruirui a ďalší

Zdroj: XPRESS – Initiative for excellence in production research Robotics and Computer-Integrated Manufacturing. 97(February 2026)

Predmety: Advanced robotics, Digital twin, Industry 4.0, Smart manufacturing, Adaptive control systems, Flexible manufacturing systems, Human robot interaction, Industrial research, Intelligent robots, Internet of things, Man machine systems, Materials handling, Predictive analytics, Robotic assembly, Advanced robotic, Digital production system, Flexible production systems, Manufacturing applications, Manufacturing challenges, Manufacturing industries, Manufacturing technologies, Technology application, Technology challenges, Virtual Manufacturing Processes (VMP)

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-25761
https://doi.org/10.1016/j.rcim.2025.103103

Prediction of mental health crises based on electronic health records: probabilistic and machine learning models for clinical applications

Autori: Garriga Calleja, Roger

Prispievatelia: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Matic, Aleksandar, Lugosi, Gábor

Zdroj: TDX (Tesis Doctorals en Xarxa)

Predmety: Machine Learning, Mental health, Probabilistic modeling, Artificial Intelligence, Medicine, Data Science, Clinical Decision Support System, Electronic Health Records, Predictive Analytics, Aprenentatge Automàtic, Salut mental, Modelització Probabilística, Intel·ligència Artificial, Medicina, Ciència de Dades, Sistema de Suport a la Presa de Decisions Clíniques, Registres Electrònics de Salut, Història Clínica Electrònica, Anàlisi Predictiu

Time: 616.89

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10803/691495

Understanding EMS response times: a machine learning-based analysis

Autori: Hill, Peter Lederman, Jakob Jonsson, Daniel a ďalší

Zdroj: BMC Medical Informatics and Decision Making. 25(1)

Predmety: Emergency care optimization, Emergency medical services, Machine learning, Predictive analytics, Resource allocation, Response times

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-362040
https://doi.org/10.1186/s12911-025-02975-z

Predictive analytics support for complex chronic medical conditions: An experience-based co-design study of physician managers’ needs and preferences

Autori: Rafiq, Muhammad Mazzocato, Pamela Guttmann, Christian a ďalší

Zdroj: International Journal of Medical Informatics. 187:1-9

Predmety: 30-day Hospital Readmission, AI applications in health care, Experience-based Co-design, Multiple Chronic Conditions, Predictive Analytics, Predictive Decision Support Model

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-53253
https://doi.org/10.1016/j.ijmedinf.2024.105447

AI-driven aquaculture: A review of technological innovations and their sustainable impacts

Autori: Hang Yang Qi Feng Shibin Xia a ďalší

Zdroj: Artificial Intelligence in Agriculture, Vol 15, Iss 3, Pp 508-525 (2025)

Predmety: AI disease management, Sustainable aquaculture, Aquaculture AI integration, AI feeding optimization, Agriculture, Predictive analytics

Prístupová URL adresa: https://doaj.org/article/4e0b0186e2fd4e2c880b736ae544ce4c

Predictive Performance Modeling for SAP Systems and HANA Database: Leveraging Job History, Usage Patterns and Database Metrics for Proactive Optimization

Autori: Kolluri, Srinivas

Zdroj: International Journal of Science and Research Archive. 16:001-007

Predmety: Machine Learning, Performance Optimization, Cloud Integration, Predictive Analytics, In-Memory Computing

The role of federated learning in improving predictive analytics in public health data systems without compromising privacy

Autori: Kajovo, David

Zdroj: International Journal of Science and Research Archive. 16:046-051

Predmety: Blockchain, Decentralised Systems, Artificial Intelligence, Data Privacy, Predictive Analytics, Public Health, Federated Learning

Integrating digital twins and AI-augmented predictive analytics for resilient, demand-driven global supply chain orchestration under volatility

Autori: Asorose, Elizabeth

Zdroj: International Journal of Science and Research Archive. 16:971-992

Predmety: Volatility Management, Artificial Intelligence, Demand-Driven Orchestration, Predictive Analytics, Supply Chain Resilience, Digital Twins

Advancing Digital Supply Chains through Generative AI: A Strategic Framework with the ELECTRE III Method

Autori: Fadoua Tamtam Amina Tourabi

Zdroj: Complex Systems Informatics and Modeling Quarterly, Iss 43 (2025)

Predmety: Generative AI, Digital Supply Chain, Predictive Analytics, Multi-Criteria Decision-Making, IoT-Driven Real-Time Tracking, Information technology, T58.5-58.64, ELECTRE III

Prístupová URL adresa: https://doaj.org/article/0b8cdccfcdab47d0b64eb62ecec6b439

How Cybersecurity Leadership Became the New Critical Managerial Competency in Healthcare Administration

Autori: Ebone McCoy

Zdroj: Health Economics and Management Review, Vol 6, Iss 2, Pp 50-59 (2025)

Predmety: supply chain management, predictive analytics, Social sciences (General), H1-99, Medicine (General), R5-920, covid-19 pandemic, healthcare administration, healthcare cybersecurity, cyber risk management, health information technology

Prístupová URL adresa: https://doaj.org/article/1a762a1fb692437aa902d5c06e98c8b7

Exploring the Impact of Predictive Analytics and AI in STEM Education

Autori: Tai Ki Kim

Zdroj: International Journal of Research in STEM Education, Vol 7, Iss 1 (2025)

Predmety: AI, Science, Predictive Analytics, Theory and practice of education, STEM, Learning Analytics, Personalized Learning, LB5-3640

Prístupová URL adresa: https://doaj.org/article/c8bc860d241d45c29caae9a2addf33d6

Artificial intelligence in nursing research: A narrative review of transforming clinical practice, enhancing patient outcomes, and shaping future care

Autori: Jomon Thomas

Zdroj: Journal of Nursing Reports in Clinical Practice, Vol 3, Iss Issue 4, Pp 368-374 (2025)

Predmety: clinical decision support, predictive analytics, machine learning, nursing research, RT1-120, patient outcomes, Nursing, artificial intelligence

Prístupová URL adresa: https://doaj.org/article/18dfc41e91fe405a9e59d2e91d234ae5

Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

Autori: Shamshad, Hasib Ullah, Fasee Ullah, Asad a ďalší

Zdroj: IEEE Access. 11:122205-122220

Predmety: ADA Cardano, ARIMA, bidirectional LSTM, Binance, cryptocurrency forecasting, deep learning, Ethereum, FB prophet, machine learning, predictive analytics, Regression analysis, support vector regressor, time series forecasting, unidirectional LSTM, Bitcoin, Costs, Errors, Learning algorithms, Long short-term memory, Mean square error, Support vector machines, Autoregressive integrated moving average(ARIMA), Biological system modeling, Block-chain, Facebook, Facebook prophet, Machine-learning, Prediction algorithms, Predictive models, Support vectors machine, Blockchain

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25642
https://doi.org/10.1109/ACCESS.2023.3327440

Enhancing It incident management with natural language processing and predictive analytics

Autori: Faheem, Muhammad Awais, Muhammad Iqbal, Aqib a ďalší

Zdroj: International Journal of Science and Research Archive. 15:224-237

Predmety: Intelligent Automation, AI In IT Operations (AiOps), Incident Forecasting, IT Incident Management, Natural Language Processing (NLP), Automated Ticket Classification, Operational Efficiency, Mean Time To Resolution (MTTR), Machine Learning, IT Service Management (ITSM), Unstructured Data Analysis, Real-Time Monitoring, Predictive Analytics, Anomaly Detection, Root Cause Analysis

AI-Powered ITSM Automation: Enhancing service management efficiency through machine learning

Autori: Barla, Aravind

Zdroj: International Journal of Science and Research Archive. 16:1326-1336

Predmety: Machine Learning, IT Service Automation, Decision Support Systems, Predictive Analytics, Anomaly Detection, NLP, AI-Powered ITSM

Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage

Autori: Hossain, Istiaque Kasedullah, Mohammad Iqbal, Farina a ďalší

Zdroj: International Journal of Science and Research Archive. 15:1712-1722

Predmety: Explainable AI, Predictive Analytics, Business Decision-Making, Competitive Advantage, Artificial Intelligence Adoption

Evaluating machine learning-based polypharmacy risk prediction in multigenerational households under family medicine, internal and pediatric care interfaces

Autori: Chelsea, Anietom ifechukwu

Zdroj: International Journal of Science and Research Archive. 16:1288-1306

Predmety: Polypharmacy Risk Prediction, Family Medicine Integration, Predictive Analytics in Clinical Care, Multigenerational Households, Machine Learning in Healthcare, Adverse Drug Events

Anomaly detection in market data for fraud and risk monitoring

Autori: Ogunruku, Oyindamola Omolara Samuel, Isaiah Chukwudi

Zdroj: International Journal of Science and Research Archive. 15:1647-1656

Predmety: Market Data, Machine Learning, Fraud Detection, Anomaly Detection, Risk Monitoring, Predictive Analytics, Real-Time Processing, Financial Technology