Alzheimer’s disease diagnosis using rhythmic power changes and phase differences: a low-density EEG study by Juan Wang, Juan Wang, Jiamei Zhao, Xiaoling Chen, Xiaoling Chen, Bowen Yin, Xiaoli Li, Xiaoli Li, Ping Xie, Ping Xie

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Dynamics Analysis of a New Five DOF Hybrid Machine Tool by Wenwen Xu, Ying Mei, Liuyuan He, Zuo Shen

Subjects: “…Hybrid machine tool…”
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Machine Learning Based Modeling of Thermospheric Mass Density by Qian Pan, Chao Xiong, Hermann Lühr, Artem Smirnov, Yuyang Huang, Chunyu Xu, Xu Yang, Yunliang Zhou, Yang Hu

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Optimizing hypoglycaemia prediction in type 1 diabetes with Ensemble Machine Learning modeling by Daphne N. Katsarou, Eleni I. Georga, Maria A. Christou, Panagiota A. Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis

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Modeling Climate‐Driven Vegetation Changes Under Contrasting Temperate and Arid Conditions in the Mediterranean Basin by Marco Bianchini, Mohamed Tarhouni, Matteo Francioni, Marco Fiorentini, Chiara Rivosecchi, Jamila Msadek, Abderrazak Tlili, Farah Chouikhi, Marina Allegrezza, Giulio Tesei, Paola Antonia Deligios, Roberto Orsini, Luigi Ledda, Maria Karatassiou, Athanasios Ragkos, Paride D'Ottavio

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Machine Learning Algorithm for Estimating Surface PM2.5 in Thailand by Pawan Gupta, Shanshan Zhan, Vikalp Mishra, Aekkapol Aekakkararungroj, Amanda Markert, Sarawut Paibong, Farrukh Chishtie

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Pushing the boundaries of anticipatory action using machine learning by Alexander Kjærum, Bo S. Madsen

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Multiomics integration unravels genotype‐microbiome interactions shaping the conjunctival transcriptome by Qiaoxing Liang, Guo‐Wang Lin, Xiaohu Ding, Bin Zou, Xiaomin Liu, Jing Li, Yuxin Zhang, Xiaofeng Wen, Lingyi Liang, Jin‐Xin Bei, Mingguang He, Huijue Jia, Lai Wei

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Part B: Innovative Data Augmentation Approach to Boost Machine Learning for Hydrodynamic Purposes—Computational Efficiency by Hamed Majidiyan, Hossein Enshaei, Damon Howe, Eric Gubesch

Subjects: “…machine learning…”
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Prediction model for type 2 diabetes mellitus and its association with mortality using machine learning in three independent cohorts from South Korea, Japan, and the UK: a model de... by Hayeon Lee, Seung Ha Hwang, Seoyoung Park, Yunjeong Choi, Sooji Lee, Jaeyu Park, Yejun Son, Hyeon Jin Kim, Soeun Kim, Jiyeon Oh, Lee Smith, Damiano Pizzol, Sang Youl Rhee, Hyunji Sang, Jinseok Lee, Dong Keon Yon

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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

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Optimization of aluminum 6061 surface integrity on dry-running machining CNC milling using Taguchi methods by Rifky Maulana Yusron, Mohamad Imron Mustajib, Imam Hanafi

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Geometric properties of quantum entanglement and machine learning by S. V. Zuev

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Research on the Operational Parameters and Performance of Key Components of an Industrial Hemp Harvester and Drier by Chao Feng, Changxi Liu, Bosheng Wang, Hang Shi, Hao Sun, Yufei Li, Jun Hu

Subjects: “…harvesting and drying machine…”
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Role of artificial intelligence in smart grid – a mini review by M. Balamurugan, Kamala Narayanan, N. Raghu, G. B. Arjun Kumar, V. N. Trupti

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Approaches to the usage of machine translation systems for the organization of independent work of students of a pedagogical university with English-language scientific texts by Tatiana N. Suvorova, Lyubov A. Shunina, Ivan V. Shunin

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Enhancing Pan evaporation predictions: Accuracy and uncertainty in hybrid machine learning models by Khabat Khosravi, Aitazaz A. Farooque, Amir Naghibi, Salim Heddam, Ahmad Sharafati, Javad Hatamiafkoueieh, Soroush Abolfathi

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A machine learning-based model to predict POD24 in follicular lymphoma: a study by the Chinese workshop on follicular lymphoma by Jie Zha, Qinwei Chen, Wei Zhang, Hongmei Jing, Jingjing Ye, Huanhuan Liu, Haifeng Yu, Shuhua Yi, Caixia Li, Zhong Zheng, Wei Xu, Zhifeng Li, Zhijuan Lin, Lingyan Ping, Xiaohua He, Liling Zhang, Ying Xie, Feili Chen, Xiuhua Sun, Liping Su, Huilai Zhang, Haiyan Yang, Weili Zhao, Lugui Qiu, Zhiming Li, Yuqin Song, Bing Xu

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Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data by Ahmad Azadivash

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Design of Hybrid-driving Transmission System of Hobbing Machine by Tan Weiming

Subjects: “…Hobbing machine…”
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