:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wu, Nian-Nian, Liu, Yuan, Liu, Shan, Chen, Ji-Xun, Zhou, Qin-Ge, Xu, Xiang-Rong, Yang, Qing-Song, Ling, Juan, Zhao, Jian-Liang
Format:	Artículo científico
Language:	en
Published:	Water research 2026
Subjects:	Machine Learning Water Pollutants, Chemical Geologic Sediments Environmental Monitoring Random Forest
Online Access:	https://pubmed.ncbi.nlm.nih.gov/41547211/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Nationwide occurrence and prioritization of tire additives and their transformation products in lake sediments of China.
by: Zhou, Li-Jun, et al.
Published: (2024)

Customer Churn Prediction in the Software by Subscription models IT business using machine learning methods
by: Kolesnikova, Kateryna
Published: (2021)

Unraveling antibiotic fate in a highly urbanized estuary: Spatiotemporal patterns, multi-media partitioning, and contaminant prioritization.
by: Wu, Nian-Nian, et al.
Published: (2026)

Rainfall, seasonal variation, and stream type governing the multi-media fate and ecological risks of tire additives and their transformation products in mega-urban streams.
by: Wei, Li-Ni, et al.
Published: (2025)

Diseño de un modelo de detección temprana de amenazas cibernéticas en PYMES colombianas mediante técnicas de inteligencia artificial
by: Reina, Edgar Andres
Published: (2026)

Insights into breast cancer: A simple machine learning method for early disease detection
by: Sowah, Anthony, et al.
Published: (2025)

Modelling effective soil depth at field scale from soil sensors and geomorphometric indices
by: Mauricio Castro Franco
Published: (2017)

IMPROVING THE RELIABILITY OF MACHINE LEARNING MODELS BY FILLING IN MISSING NAN VALUES IN MEDICAL DATASETS USING A GENETIC ALGORITHM
by: Shokhrukh Sariyev
Published: (2025)

Chapter Supporting decision-makers in healthcare domain. A comparative study of two interpretative proposals for Random Forests
by: Aria, Massimo, et al.
Published: (2022)

Application of Different Machine Learning Techniques for Predicting Heart Dieses
by: Tejaswini Zope, et al.
Published: (2021)

Aplicación de una red neuronal feed-forward backpropagation para el diagnóstico de fallas mecánicas en motores de encendido provocado
by: Wilmer Contreras Urgilés
Published: (2019)

PALSAR-2/ALOS-2 AND OLI/LANDSAT-8 DATA INTEGRATION FOR LAND USE AND LAND COVER MAPPING IN NORTHERN BRAZILIAN AMAZON
by: João Arthur Pompeu Pavanelli
Published: (2018)

Application of bayesian additive regression trees in the development of credit scoring models in Brazil
by: Daniel Alves de Brito
Published: (2018)

Predicting the Success of Marketing Campaigns in the Banking Sector
by: Harshith P
Published: (2025)

A Machine Learning Framework for Personalized Job Recommendation
by: Rumana Hasinullah Shaikh, et al.
Published: (2026)

Enhancing Marble Waste Recycling Through Machine Learning: The Role of Particle Size Variation and Class Imbalance Mitigation
by: Shambhavi Sinha
Published: (2026)

Aplicación de algoritmos Random Forest y XGBoost en una base de solicitudes de tarjetas de crédito
by: Javier Jesús Espinosa-Zúñiga
Published: (2020)

Estimación de volumen forestal mediante imágenes de satélite Landsat 8 OLI en bosques templados mixtos
by: Pedro García-Ramírez
Published: (2020)

Hierarchical pattern recognition in milking parameters predicts mastitis prevalence
by: Ebrahimie, Esmaeil, et al.
Published: (2018)

Estimación de biomasa aérea de Eucalyptus grandis y Pinus spp usando imágenes Sentinel1A y Sentinel2A en Colombia
by: Adriana Lizeth Tovar Blanco
Published: (2020)

Mapping tree genera using discrete LiDAR and geometric tree metrics
by: Connie Ko
Published: (2012)

Probability maps of exceeding six soil thickness in mainland France
by: Songchao Chen, et al.
Published: (2019)

Spatiotemporal distribution and priority assessment of steroids in the estuarine environment: Implications for environmental risk management.
by: Xu, Ru, et al.
Published: (2025)

Loan Default Prediction: A Complete Revision of LendingClub
by: José Antonio Núñez Mora
Published: (2023)

Cocoa Map for Cote d'Ivoire and Ghana
by: Abu, Itohan-Osa, et al.
Published: (2020)

Student Performance Prediction Using Machine Learning
by: Hrutuja Umakant Aher
Published: (2026)

Cyber Hacking Breaches Prediction Using Machine Learning
by: Narayan, Dr. Prabakaran, et al.
Published: (2026)

Python code for modeling suitable habitats of tea (Camellia sinensis) under future climate scenarios in China
by: zhang
Published: (2025)

Age Dominates Machine Learning Survival Prediction in Haematological Malignancies: A Multi-Disease Analysis of 192,825 Patients Demonstrates Cox Regression Sufficiency
by: Farquhar, Hayden
Published: (2026)

Willingness to Pay for Improved Solid Waste Management in Coastal Communities: Policy Evidence from a Hybrid Contingent Valuation, Econometric, and Machine Learning Framework
by: ONSAY, EMMANUEL, et al.
Published: (2026)

AI-Based Radio Frequency Interference Signals Detection and Classification
by: Mrs. I. Kamalamma, et al.
Published: (2026)

Machine Learning-Based Employee Performance Rating System
by: Siddharth Sharma, et al.
Published: (2026)

Methodological Evaluation of Emergency Care Units in South Africa Using Time-Series Forecasting Models for Clinical Outcome Assessment
by: Cele, Sipho, et al.
Published: (2003)

IgniWise Dataset — Prescribed Burn Window Prediction for Spain (1983–2015)
by: Romera Martínez, Sergio
Published: (2026)

AI in Traffic Management Predicting, Congestion Patterns and Optimization Signal Timing in Mega Urban Project
by: Amarsinh B. Landage, et al.
Published: (2026)

Map of tree floristic patterns in Peruvian Amazonia
by: Chaves, Pablo Pérez
Published: (2020)

Intelligent Footwear Material Recommendation System: Using Machine Learning For Refined Slip Resistance
by: Thomas, Treesa, et al.
Published: (2025)

Predictive Crop Yield Modeling and Soil Quality Classification using Machine Learning
by: Manju Sadasivan, et al.
Published: (2025)

An Over 30-Year Analysis of Heavy Metal Deposition in Daya Bay Sediments.
by: Hu, Min-Jie, et al.
Published: (2025)

Using Social Media Data To Forecast Telecom Companies Revenues with Machine Learning
by: Yazan Aswad, et al.
Published: (2022)