Multicriteria decision making-based approach to classify loose-leaf teas by Eszter Benes, Attila Gere

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Detection of serum composition in pediatric inflammatory multisystem syndrome associated with SARS-CoV-2 and the response for the treatment by FTIR by Joanna Depciuch, Izabela Sieminska, Pawel Jakubczyk, Bartosz Klebowski, Katarzyna Ptak, Izabela Szymońska, Przemko Kwinta, Maciej Siedlar, Jan Jakub Kęsik, Magdalena Parlinska-Wojtan, Jarek Baran

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Usage of Machine Learning for Policy Projection of Bio Solar Consumption in Indonesia by Atiq Mujtaba, Komarudin

Subjects: “…machine learning…”
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TRANSFORMATION OF MARKETING TECHNOLOGIES IN MACHINE INTELLIGENCE ERA by V. Starostin

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High-throughput untargeted metabolomics reveals metabolites and metabolic pathways that differentiate two divergent pig breeds by S. Bovo, M. Bolner, G. Schiavo, G. Galimberti, F. Bertolini, S. Dall’Olio, A. Ribani, P. Zambonelli, M. Gallo, L. Fontanesi

Subjects: “…Machine learning…”
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Classification of Aortic Stenosis Patients via ECG-Independent Multi-Site Measurements of Cardiac-Induced Accelerations and Angular Velocities at the Skin Level by Chiara Romano, Emanuele Maiorana, Annunziata Nusca, Simone Circhetta, Sergio Silvestri, Schena Emiliano, Gian Paolo Ussia, Carlo Massaroni

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Multi-Cell Displacement Measurement During the Assembly of Automotive Power Batteries Based on Machine Vision by Yueda Xu, Yanfeng Xing, Hongbo Zhao, Yufang Lin, Lijia Ren, Zhihan Zhou

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Optimized sequential model for superior classification of plant disease by Yogesh Chimate, Sangram Patil, K. Prathapan, Jaydeep Patil, Jayendra Khot

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Predicting TNFRSF4 expression and prognosis in head and neck squamous cell carcinoma tissue: a pathological image analysis approach by Weiming Chu, Chen Chu, Zongmei Ding, Wei Guan, Shiyuan Li, Jixin Jiang, Yu Xue, Jianping Qiu, Aijun Guo

Subjects: “…machine learning models…”
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NEW CHALLENGES IN ABRASIVE WATER JET MACHINING by CATALINA CIOFU, CATALIN TAMPU, EUGEN HERGHELEGIU, COSMIN ALEXANDRU IANCU, GHEORGHE BRABIE

Subjects: “…abrasive water jet machining, particle size, nozzle wear…”
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Testing the Applicability and Transferability of Data-Driven Geospatial Models for Predicting Soil Erosion in Vineyards by Tünde Takáts, László Pásztor, Mátyás Árvai, Gáspár Albert, János Mészáros

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Application of machine learning algorithms in predicting new onset hypertension: a study based on the China Health and Nutrition Survey by Manhui Zhang, Xian Xia, Qiqi Wang, Yue Pan, Guanyi Zhang, Zhigang Wang

Subjects: “…machine learning algorithms…”
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Accounting for racial bias and social determinants of health in a model of hypertension control by Yang Hu, Nicholas Cordella, Rebecca G. Mishuris, Ioannis Ch. Paschalidis

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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach by Aljubran HJ, Aljubran MJ, AlAwami AM, Aljubran MJ, Alkhalifah MA, Alkhalifah MM, Alkhalifah AS, Alabdullah TS

Subjects: “…machine learning…”
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Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes by Bjørn-Richard Pedersen, Einar Holsbø, Trygve Andersen, Nikita Shvetsov, Johan Ravn, Hilde Leikny Sommerseth, Lars Ailo Bongo

Subjects: “…Machine learning…”
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IDBGL: A unique image dataset of black gram (Vigna mungo) leaves for disease detection and classificationMendeley Data by Md. Mehedi Hasan Shoib, Shahnewaz Saeem, Afia Benta Aziz Tonima, Mayen Uddin Mojumdar

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Evolution of CFD as an engineering science. A personal perspective with emphasis on the finite volume method by Runchal, Akshai Kumar

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Novel Ensemble Approach with Incremental Information Level and Improved Evidence Theory for Attribute Reduction by Peng Yu, Yifeng Zheng, Ziwen Liu, Baoya Wei, Wenjie Zhang, Ziqiong Lin, Zhehan Li

Subjects: “…machine learning…”
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Program semantic analysis model for code reuse detection by GUO Xi, WANG Pan

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Computer Aided Diagnostic System for Blood Cells in Smear Images Using Texture Features and Supervised Machine Learning by Shakhawan Hares Wady

Subjects: “…Leukaemia diagnosis; blood smear; feature extraction; machine learning…”
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