Ensemble machine learning-based extrapolation of Penman-Monteith-Leuning evapotranspiration data by Vahid Nourani, Ramin Ahmadi, Yongqiang Zhang, Dominika Dąbrowska

“…However, it faces limitations, particularly in calibration and the lack of pre-2000 data. This study applies several machine learning (ML) models—including a backpropagation neural network (BPNN), an adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR), and long short-term memory (LSTM)—to simulate PML-V2 ET in the Ahar Chay basin, Northwestern Iran. …”
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Characterization of Neural Interaction During Learning and Adaptation from Spike-Train Data by Liqiang Zhu, Ying-Cheng Lai, Frank C. Hoppensteadt, Jiping He

“…The present paper gives a detailed account of thisprocedure and its applicability to spike-train data in terms ofthe hypotheses, theory, computational methods, control test, andextensive analysis of experimental data.…”
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Longitudinal Metabolomics Data Analysis Informed by Mechanistic Models by Lu Li, Huub Hoefsloot, Barbara M. Bakker, David Horner, Morten A. Rasmussen, Age K. Smilde, Evrim Acar

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Machine learning-based strategies for improving healthcare data quality: an evaluation of accuracy, completeness, and reusability by Agate Jarmakovica

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Retinal Image Analysis for Heart Disease Risk Prediction: A Deep Learning Approach by N. D. D, P. Sona, Ajay James

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Enhancing Process Control in Agriculture: Leveraging Machine Learning for Soil Fertility Assessment by Ashutosh Sarangi, Sailesh Kumar Raula, Sohamdev Ghoshal, Swadhin Kumar, Chinta Sai Kumar, Neelamadhab Padhy

Subjects: “…soil data…”
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Efficient extraction of experimental data from line charts using advanced machine learning techniques by Wenjin Yang, Jie He, Xiaotong Zhang

“…This research provides an efficient foundation for large-scale scientific data analysis and machine learning model development, advancing the field of automated data extraction technology.…”
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Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights by Kamal Taha

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Learning the Ageing Behaviour of Lithium-Ion Batteries Using Electric Vehicle Fleet Analysis by Thomas Lehmann, Erik Berendes, Richard Kratzing, Gautam Sethia

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Identification of Staphylococcus aureus virulence-modulating RNA from transcriptomics data with machine learning by Jinlong Yu, Mingzhang Li, Jin Wang, Musha Hamushan, Feng Jiang, Boyong Wang, Yujie Hu, Pei Han, Jin Tang, Geyong Guo, Hao Shen

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Enhancing educational through blended teaching: an analysis of teaching and learning quality with learning environment and social impacts by Tang Xinfa, Yang Xuejiao, Hao Guozu, Sun Yifei, Wan Youwei

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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…By integrating transfer learning with federated learning, this study presents a scalable and privacy-preserving framework for Big Data analytics in healthcare. …”
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Enhancing wearable sensor data analysis for patient health monitoring using allied data disparity technique and multi instance ensemble perceptron learning by Mohd Anjum, Waseem Ahmad, Sana Shahab, Ashit Kumar Dutta, Ali Elrashidi, Amr Yousef, Zaffar Ahmed Shaikh

Subjects: “…Data disparity…”
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Galaxy Morphology Classification via Deep Semisupervised Learning with Limited Labeled Data by Zhijian Luo, Jianzhen Chen, Zhu Chen, Shaohua Zhang, Liping Fu, Hubing Xiao, Chenggang Shu

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Analysis of Vertical Ground Reaction Force Data in Predicting Parkinson’s Disease by Varun Jain

“…A Fourier Analysis and several support vector machine learning models were computed in MATLAB to classify whether an individual had Parkinson’s disease. …”
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Infrared spectrum analysis of organic molecules with neural networks using standard reference data sets in combination with real-world data by Dev Punjabi, Yu-Chieh Huang, Laura Holzhauer, Pierre Tremouilhac, Pascal Friederich, Nicole Jung, Stefan Bräse

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An Exploration of Consistency Learning with Data Augmentation by Connor Shorten, Taghi M. Khoshgoftaar

“…Nearly all of these successes require very large manually annotated datasets. Data augmentation has enabled Supervised Learning with less labeled data, while avoiding the pitfalls of overfitting. …”
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GWAI: Artificial intelligence platform for enhanced gravitational wave data analysis by Tianyu Zhao, Yue Zhou, Ruijun Shi, Zhoujian Cao, Zhixiang Ren

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Correlations Between Cognitive and Social Functioning of Schoolchildren: Study of Population Data Using methods of intellectual Analysis of heterogeneous Data by Leyla S. Namazova-Baranova, Georgiy A. Karkashadze, Elena A. Vishnyova, A. I. Molodchenko

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Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

Subjects: “…use-wear analysis…”
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