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Leveraging artificial intelligence for enhanced anti-money laundering in financial institutions
Article
Article
Leveraging artificial intelligence for enhanced anti-money laundering in financial institutions
Anitha Premkumar et al · Springer · 2026 · ISSN 2948-2992
Abstract Financial institutions continue to face a significant challenge with money laundering and need intelligent, scalable ways to detect illegal financial activity. This paper introduces a machine learning-driven pla...
LCC LCC:Electronic computers. Computer scienceIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches
Article
Article
A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches
Meltem Aksoy et al · Springer · 2026 · ISSN 1875-6883
Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...
LCC LCC:Electronic computers. Computer scienceIdioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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A GIS based hybrid AHP and ensemble machine learning framework for identifying groundwater recharge and flood mitigation hotspots
Article
Article
A GIS based hybrid AHP and ensemble machine learning framework for identifying groundwater recharge and flood mitigation hotspots
Manvinder Sharma et al · Springer · 2026 · ISSN 2948-2992
Abstract Globally groundwater depletion threatens water security with aquifer storage declining at 300 km³/year. Climate change intensifies flood frequency and magnitude causing agricultural and other losses. Punjab, I...
LCC LCC:Electronic computers. Computer scienceIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
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Improved classification of term and preterm births from electrohysterogram signals using machine learning with model error features
Article
Article
Improved classification of term and preterm births from electrohysterogram signals using machine learning with model error features
Omkar S. Powar et al · Springer · 2026 · ISSN 3004-9261
Abstract Preterm birth (PTB) affects an estimated 15 million infants worldwide each year, raising an enormous challenge in the field of maternal-fetal medicine. This work explores machine learning approaches for disting...
LCC LCC:Science (General)Idioma English
Acceso abiertoRuta libre sin proxy. Acceso recomendado cuando no hay suscripción activa.
Open Access
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Physics guided explainable machine learning for shear capacity prediction of steel fiber reinforced concrete beams without stirrups
Article
Article
Physics guided explainable machine learning for shear capacity prediction of steel fiber reinforced concrete beams without stirrups
Muhammad Zia Ul Haq et al · Springer · 2026 · ISSN 2948-1546
Abstract Accurate estimation of the shear capacity of steel fiber reinforced concrete (SFRC) beams without stirrups remains challenging because the response is governed by strongly coupled geometric, material, and reinfo...
LCC LCC:Engineering (General). Civil engineering (General)Idioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
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Stochastic framework for source quantification and health risk evaluation of soil potentially toxic elements in the Maluwe–Tinga–Wasipe Corridor, Savannah Region, Ghana
Article
Article
Stochastic framework for source quantification and health risk evaluation of soil potentially toxic elements in the Maluwe–Tinga–Wasipe Corridor, Savannah Region, Ghana
Raymond Webrah Kazapoe et al · Springer · 2026 · ISSN 2948-1589
Abstract This study applies a stochastic framework to quantify Potentially Toxic Elements (PTEs) and related risks in soils of the Maluwe–Tinga–Wasipe corridor in the Savannah Region of Ghana. A total of 729 B-horizo...
LCC TENDOkdlb2xvZ3k~; LCC:Geophysics. Cosmic physicsIdioma English
El enlace apunta a material asociado, anexos, tablas, datos o página complementaria. No se marca como libro/texto completo.
Material complementario
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