Intelligent system for portfolio optimization for novel volatility forecasting using machine learning. [PDF]
Sci RepBiswas T, Dey A, Mandal G, Ghosh N.
europepmc +1 more source
Geological Journal, EarlyView.This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi +3 more
wiley +1 more source
Machine learning model for predicting hypotension following continuous renal replacement therapy initiation in end-stage kidney disease patients: a SHAP-interpretable approach. [PDF]
Front Med (Lausanne)Qiu S, Qiu D, Tao Y, Fu P, Bai J, Cao N.
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Forecasting and Capacity Planning in Prehospital Emergency Medical Services: The Case of Ankara
The International Journal of Health Planning and Management, EarlyView.ABSTRACT Objective Time savings in prehospital emergency medical services are vital for human life. Ensuring that these services can meet potential demands is essential for successful delivery. This study aimed to forecast the demand for ambulance services within prehospital emergency medical services and to plan the capacity of ambulance stations ...
Elif Erbay, Çağdaş Erkan Akyürek
wiley +1 more source
Accurate and Low-Cost Cardiac Disorder Detection from Wearable Phonocardiogram Signals Using Hybrid Feature Selection and Machine Learning. [PDF]
Biosensors (Basel)Narin A, Arslan RU, Kırkıl D.
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Ibrain, Volume 11, Issue 1, Page 3-18, Spring 2025.With the advantages of high‐resolution imaging, efficient image acquisition, intraoperative real‐time detection, and radiation‐free and noninvasive characteristics, optical coherence tomography (OCT) provides accurate diagnosis and effective intraoperative guidance for the minimally invasive diagnosis and treatment of central nervous system (CNS ...
Jiuhong Li +10 more
wiley +1 more source
Artificial intelligence and machine learning in sports medicine: mapping clinical tasks and assessing clinical maturity - a scoping review. [PDF]
BMC Med Inform Decis MakLindskog J +5 more
europepmc +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This study aims to classify pivotal fintech innovations and explore the prospects and pitfalls associated with emerging fintech services extensively discussed in the literature. We conducted a multistage systematic review of research published on fintech over the past decade from a technological perspective. Using the Preferred Reporting Items
Muhammad Imran Qureshi, Nohman Khan
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How Does AI Empower Corporate ESG Practices? Mechanisms Based on Information Processing Theory
International Journal of Finance &Economics, EarlyView.ABSTRACT In the context of the latest technological revolution and industrial transformation, Artificial Intelligence (AI) provides new impetus for the development of corporate ESG practices. This study, based on data from 2630 A‐share listed companies in China from 2010 to 2022, examines the impact of AI on corporate ESG performance and its mechanisms
Qin Zhu, Shanshan Jiang, Anna Min Du
wiley +1 more source
An Integrated Zero-Trust and Real-Time Detection Scheme for DDoS Protection in 5G IoT Systems. [PDF]
Sensors (Basel)Luo YY +4 more
europepmc +1 more source