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    Identification and Quantification of Emission Hotspots of Air Pollutants over Bhubaneswar: A Smart City in Eastern India by Saroj Kumar Sahu, Pallavi Sahoo, Poonam Mangaraj, Gufran Beig, Bhishma Tyagi, Basanta Samal, Ashirbad Mishra, Ravi Yadav

    Published 2023-07-01
    “…The present gridded surface emission dataset is an essential requirement in framing new mitigation strategies to combat ongoing and future air pollution crises and achieve better air quality.…”
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  3. 5063

    A Comparison of Machine Learning-Based Approaches in Estimating Surface PM<sub>2.5</sub> Concentrations Focusing on Artificial Neural Networks and High Pollution Events by Shijin Wei, Kyle Shores, Yangyang Xu

    Published 2025-01-01
    “…This study compares various machine learning models, including linear models, tree-based algorithms, and artificial neural networks (ANNs) for estimating PM<sub>2.5</sub> concentrations using the MERRA-2 dataset from 2012 to 2023. Mutual information and Spearman cross-feature correlation scores are used during feature selections. …”
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    Astragaloside IV inhibits pathological functions of gastric cancer-associated fibroblasts through regulation of the HOXA6/ZBTB12 axis by Liu Haibo, Luo Shicheng, Sha Xiaofeng, Chen Zhiping, Yang Dongdong

    Published 2023-09-01
    “…Homeobox A6 (HOXA6), and Zinc Finger and BTB Domain Containing 12 (ZBTB12) are highly expressed in gastric CAFs compared with normal fibroblasts (NFs) based on the GSE62740 dataset. We found that astragaloside IV-stimulated CAFs suppressed cell growth, migration, and invasiveness of gastric cancer cells. …”
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    Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

    Published 2024-09-01
    “…The networks were trained on a synthetic dataset created in this study and evaluated on a set of performance metrics.…”
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    A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression&#x2014;An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

    Published 2025-01-01
    “…The method&#x2019;s effectiveness is validated against another risk prediction dataset, proving its reliability. The model&#x2019;s accurate predictions can aid individuals in understanding disease progression risks and guide medical professionals in intervention strategies.…”
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  17. 5077

    Study of Di-Muon Production Process in pp Collision in CMS Data from Symmetry Scaling Perspective by Susmita Bhaduri, Anirban Bhaduri, Dipak Ghosh

    Published 2020-01-01
    “…This was done with the help of multifractal scaling analysis and also multifractal cross-correlation analysis using the single variable of pseudorapidity values of di-muon data taken out from the primary dataset of RunA(2011) and RunB(2012) of the pp collision at 7 TeV and 8 TeV, respectively, from (CMS-collaboration, 2016, 2017). …”
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