Advancing a machine learning-based decision support tool for pre-hospital assessment of dyspnoea by emergency medical service clinicians: a retrospective observational study by Wivica Kauppi, Henrik Imberg, Johan Herlitz, Oskar Molin, Christer Axelsson, Carl Magnusson

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Machine learning approaches for predicting and validating mechanical properties of Mg rare earth alloys for light weight applications by Sandeep Jain, Ayan Bhowmik, Jaichan Lee

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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

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Enhancing individual glomerular filtration rate assessment: can we trust the equation? Development and validation of machine learning models to assess the trustworthiness of estima... by Antoine Lanot, Anna Akesson, Felipe Kenji Nakano, Celine Vens, Jonas Björk, Ulf Nyman, Anders Grubb, Per-Ola Sundin, Björn O. Eriksen, Toralf Melsom, Andrew D. Rule, Ulla Berg, Karin Littmann, Kajsa Åsling-Monemi, Magnus Hansson, Anders Larsson, Marie Courbebaisse, Laurence Dubourg, Lionel Couzi, Francois Gaillard, Cyril Garrouste, Lola Jacquemont, Nassim Kamar, Christophe Legendre, Lionel Rostaing, Natalie Ebert, Elke Schaeffner, Arend Bökenkamp, Christophe Mariat, Hans Pottel, Pierre Delanaye

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Cardiac sound classification using a hybrid approach: MFCC-based feature fusion and CNN deep features by Mahbubeh Bahreini, Ramin Barati, Abbas Kamali

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Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis by Naoki Watanabe, Tomohisa Watari, Kenji Akamatsu, Isao Miyatsuka, Yoshihito Otsuka

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Deciphering Car Crash Dynamics in Greater Melbourne: a Multi-Model Machine Learning and Geospatial Analysis by Christopher JOHNSON, ZHOU Heng, Richard TAY, SUN Qian(Chayn)

Subjects: “…|car crash dynamics|hexagonalization|multi-model machine learning|spatial planning intervention…”
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A review of quantum communication and information networks with advanced cryptographic applications using machine learning, deep learning techniques by R. Ramya, P. Kumar, D. Dhanasekaran, R. Satheesh Kumar, S. Amithesh Sharavan

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Improved cattle farm classification: leveraging machine learning and linked national datasets by Guy-Alain Schnidrig, Guy-Alain Schnidrig, Rahel Struchen, Sara Schärrer, Dagmar Heim, Daniela Hadorn, Gertraud Schüpbach-Regula, Giulia Paternoster

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Identification of Staphylococcus aureus, Enterococcus faecium, Klebsiella pneumoniae, Pseudomonas aeruginosa and Acinetobacter baumannii from Raman spectra by Artificial Intelligen... by Yu-Tzu Lin, Hsiu-Hsien Lin, Chih-Hao Chen, Kun-Hao Tseng, Pang-Chien Hsu, Ya-Lun Wu, Wei-Cheng Chang, Nai-Shun Liao, Yi-Fan Chou, Chun-Yi Hsu, Yu-Hui Liao, Mao-Wang Ho, Shih-Sheng Chang, Po-Ren Hsueh, Der-Yang Cho

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A Cloud-Based Optimized Ensemble Model for Risk Prediction of Diabetic Progression—An Azure Machine Learning Perspective by V. K. Daliya, T. K. Ramesh

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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

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Holistic Framework for Blockchain-Based Halal Compliance in Supply Chains Enabled by Artificial Intelligence by Funlade Sunmola, George Baryannis, Albert Tan, Kenneth Co, Emmanuel Papadakis

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Investigating of Machine Learning Based Algorithms for Liver Cirrhosis Prediction by Young Choi, Eunsung Oh

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Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

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Ensuring Reliable Network Communication and Data Processing in Internet of Things Systems with Prediction-Based Resource Allocation by Weronika Symbor, Łukasz Falas

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Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets by Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish

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A scoping review by I Gusti Ayu Tirtayani, I Made Wardana, Putu Yudi Setiawan, I Gst. Ngr. Jaya Agung Widagda K

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Researching Organic Solar Cells from the Perspective of Literature Big Data Analysis by Qing Wang, Zhixin Liu, Shengda Zhao, Yangjun Yan, Xinyi Li, Yajie Zhang, Xinghua Zhang

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Incorporating climate data with machine learning can improve rice phenology estimation by Yiqing Liu, Weihang Liu, Tao Ye, Shuo Chen, Xuehong Chen, Zitong Li, Ning Zhan, Ran Sun

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