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Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a Machine Learning Model

Zigeng Song, Yan Bai, Difeng Wang, Teng Li et al. • Remote Sensing (2021)

With the implementation of the 2018–2020 Clean Air Action Plan (CAAP) the and impact from COVID-19 lockdowns in 2020, air pollution emissions in central and eastern China have decreased markedly. Here, by combining satellite remote sensing,...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs13132525

Incorporating snow accumulation and melting into the Xin'anjiang model using differentiable parameter learning

Zexin CHEN, Tongtiegang ZHAO • Shui kexue jinzhan (2025)

The Xin'anjiang model stands as one of the most important hydrological models. This paper develops a differentiable Xin'anjiang model coupled with the CemaNeige module(dMXAJ)under the framework of differentiable parameter learning. Specific...

DOAJ Open Access (DOAJ) DOI: 10.14042/j.cnki.32.1309.2025.02.003

Machine learning in polymer informatics

Wuxin Sha, Yan Li, Shun Tang, Jie Tian et al. • InfoMat (2021)

Abstract Polymers have been widely used in energy storage, construction, medicine, aerospace, and so on. However, the complexity of chemical composition and morphology of polymers has brought challenges to their development. Thanks to the i...

OPENALEX cc-by DOI: https://doi.org/10.1002/inf2.12167

Integrating InVEST and machine learning to model mangrove habitat degradation trend in in Northern Persian Gulf, Iran

Mohamad Kazemi, Atefeh Jafarpoor, Youssef Ahmadi, Raoof Mostafazadeh • Scientific Reports (2026)

Abstract The expansion of human activities and environmental changes in coastal desert and semi-desert ecosystems significantly impact habitat quality. This study used remote sensing data on the Google Earth Engine (GEE) platform to generat...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-026-47305-z

Machine Learning for Climate Precipitation Prediction Modeling over South America

Juliana Aparecida Anochi, Vinícius Albuquerque de Almeida, Haroldo Fraga de Campos Velho • Remote Sensing (2021)

Many natural disasters in South America are linked to meteorological phenomena. Therefore, forecasting and monitoring climatic events are fundamental issues for society and various sectors of the economy. In the last decades, machine learni...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs13132468

Evaluation of Predictive Maintenance by Marginal Utility: A Case Study on Offshore Wind

Rasmus Dovnborg Frederiksen, Grzegorz Radzki, Grzegorz Bocewicz, Peter Nielsen et al. • Applied Sciences (2026)

This paper investigates the relationship between the benefits achieved by predictive maintenance implementation and the related costs incurred intentionally or not. Specifically, we seek to establish an evaluation method for predictive main...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16178708

Probabilistic daily runoff forecasting in high-altitude cold regions using a hybrid model combining DBO and transformer variants

Qiying Yu, Wenzhong Li, Yungang Bai, Zhenlin Lu et al. • Journal of Hydrology: Regional Studies (2025)

Study Area: The Tailan River Basin in the Aksu region and the Yulong Kashi River in the Hotan River Basin of Xinjiang are located at respective geographical coordinates of 80°21'44'' to 81°10'14'' E, 40°41'41'' to 42°15'13'' N, and 77.25° t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ejrh.2025.102311

Explainable machine learning for predicting clinical outcomes in HIV/TB co-infection: a comparative retrospective study

Qingfeng Sun, Kai Zhang, Yuanlong Xu, Mengmei Luo et al. • BMC Infectious Diseases (2025)

Abstract Background HIV/TB co-infection presents substantial public-health challenges, showing greater treatment-failure and mortality rates than tuberculosis alone. Recent advances in machine learning (ML) provide a robust means of identif...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-025-11998-w

Bayesian Reasoning and Machine Learning

David Barber • Cambridge University Press eBooks (2012)

Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot ...

OPENALEX DOI: https://doi.org/10.1017/cbo9780511804779

PCPAm - A dataset of histopathological images of penile cancer for classification tasksZenodo

Marcos Gabriel Mendes Lauande, Geraldo Braz Júnior, João Dallyson Sousa de Almeida, Vandecia Rejane Monteiro Fernandes et al. • Data in Brief (2025)

Penile cancer has an incidence strongly linked to sociocultural factors, being more common in underdeveloped countries like Brazil, where it represents approximately 2% of cancers affecting men. This dataset was created to address the scarc...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2025.111823

Introduction to Machine Learning

• Series in machine perception and artificial intelligence (2019)

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict ...

OPENALEX DOI: https://doi.org/10.1142/9789811201967_0001

Global patterns of gully occurrence and their sensitivity to environmental changes

Yixian Chen, Sofie De Geeter, Jean Poesen, Francis Matthews et al. • International Soil and Water Conservation Research (2026)

Gully formation is a significant driver of soil erosion and land degradation worldwide and often leads to important downstream impacts. Nonetheless, our understanding of the global patterns and the factors controlling this process remains l...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.iswcr.2025.09.004

Leveraging AI to Estimate Caribou Lichen in UAV Orthomosaics from Ground Photo Datasets

Galen Richardson, Sylvain G. Leblanc, Julie Lovitt, Krishan Rajaratnam et al. • Drones (2021)

Relating ground photographs to UAV orthomosaics is a key linkage required for accurate multi-scaled lichen mapping. Conventional methods of multi-scaled lichen mapping, such as random forest models and convolutional neural networks, heavily...

DOAJ Open Access (DOAJ) DOI: 10.3390/drones5030099

Assessing climate and land use impacts on surface water yield using remote sensing and machine learning

Amanuel Kumsa Bojer, Muluneh Woldetsadik Abshare, Fitsum Mesfin, Ayad M. Fadhil Al-Quraishi • Scientific Reports (2025)

Abstract Climate and land use changes are critical factors affecting watershed water yields, with significant implications for water resources at both local and regional levels. This study examined the combined effects of temporal and spati...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-03493-8

Procedural Software Toolkit in the Armamentarium of Interventional Therapies: A Review of Additive Usefulness and Current Evidence

Abdulaziz M. Al-Sharydah, Faisal Khalid BinShaiq, Rayan Ibrahim Aloraifi, Abdulrahman Abdulaziz Almefleh et al. • Diagnostics (2023)

Interventional radiology is a fast-paced specialty that uses many advanced and emerging technological solutions. Several procedural hardware and software products are available commercially. Image-guided procedural software helps save time ...

DOAJ Open Access (DOAJ) DOI: 10.3390/diagnostics13040765

Assessing carbon and economic loss from oak decline in Iran’s Zagros forests using Sentinel-2 and machine learning

Saied Pirasteh, Zohreh Bazvand, Naseh Miri, Zhaoxi Fang et al. • Geo-spatial Information Science (2026)

Over recent decades, the decline of oak trees, which has emerged as the most significant challenge to the Zagros forests (ZFs), poses serious threats to carbon storage (CS) and economic valuation, jeopardizing the ecological and economic su...

DOAJ Open Access (DOAJ) DOI: 10.1080/10095020.2026.2682739

The effect of enjoyment on the achievement of learning goals in college students’ online classes: a moderated mediation model

Hong Zheng, Zhouyang Ye, Xinyi Bai, Yangjing Shen et al. • Humanities & Social Sciences Communications (2026)

Abstract In the digital education era, artificial intelligence has developed rapidly in education in China, and hybrid teaching models have become popular. This study aims to explore whether college students’ enjoyment in online classes inf...

DOAJ Open Access (DOAJ) DOI: 10.1057/s41599-026-06563-y

Application of artificial intelligence in gastroenterology

Young Joo Yang, Chang Seok Bang • World Journal of Gastroenterology (2019)

Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization...

OPENALEX cc-by-nc DOI: https://doi.org/10.3748/wjg.v25.i14.1666 PMC: 6465941