A Novel Algorithm for Ice‐Water Discrimination in Large Lakes Using ICESat‐2 Altimetry and Data Driven Machine Learning
Sign Up to like & getrecommendations! Published in 2025 at "Earth and Space Science"
DOI: 10.1029/2024ea004155
Abstract: Large freshwater lakes are critical for human life, ecosystem functioning, and the global carbon cycle. However, consistent high‐resolution methods to characterize ice over large lakes remain limited. Here we develop an algorithm to progress ice… read more here.
Keywords: classification; water; ice; machine learning ... See more keywords
A data driven machine learning approach for predicting and optimizing sulfur compound adsorption on metal organic frameworks
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-86689-2
Abstract: This study employed some machine learning (ML) techniques with Python programming to forecast the adsorption capacity of MOF adsorbents for thiophenic compounds namely benzothiophene (BT), dibenzothiophene (DBT), and 4,6-dimethyl dibenzothiophene (4,6-DMDBT). Five ML models were… read more here.
Keywords: sulfur; adsorption; machine learning; data driven ... See more keywords
Digital twin-driven machine learning: ball bearings fault severity classification
Sign Up to like & getrecommendations! Published in 2020 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/abd280
Abstract: Machine learning algorithms (MLAs) are increasingly being used as effective techniques for processing vibration signals obtained from complex industrial machineries. Previous applications of automatic fault detection algorithms in the diagnosis of rotating machines were mainly… read more here.
Keywords: machine; machine learning; twin driven; digital twin ... See more keywords
EEG-Driven Machine Learning for Stroke Detection in High-Risk Patients
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3597908
Abstract: Stroke remains a leading cause of disability and mortality worldwide, highlighting the need for effective tools for early detection and intervention. Recent research has explored the use of bio-signals generated by the human body as… read more here.
Keywords: detection; machine learning; eeg driven; driven machine ... See more keywords
Knowledge-Driven Machine Learning and Applications in Wireless Communications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Cognitive Communications and Networking"
DOI: 10.1109/tccn.2021.3128597
Abstract: The power of big data and machine learning has been drastically demonstrated in many fields during the past twenty years which somehow leads to the vague even false understanding that the huge amount of precious… read more here.
Keywords: machine; machine learning; knowledge driven; driven machine ... See more keywords
Using Data-Driven Machine Learning to Predict Unplanned ICU Transfers with Critical Deterioration from Electronic Health Records
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220160
Abstract: OBJECTIVE We aimed to develop a data-driven machine learning model for predicting critical deterioration events from routinely collected EHR data in hospitalized children. MATERIALS This retrospective cohort study included all pediatric inpatients hospitalized on a… read more here.
Keywords: machine; machine learning; critical deterioration; driven machine ... See more keywords