Prediction of Blood Donations Using Data Mining Based on the Decision Tree Algorithms KNN, SVM, and MLP by Arash Fahmihassan, Mohammadreza Moghari, Omidmahdi Ebadati

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A dataset dedicated to the training of large- language models for agronomic management practices and production in Norwegian agricultureGithubKaggle by Olena Bugaiova, Kristian Nikolai Jæger Hansen

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Oscillating Mindfully: Using Machine Learning to Characterize Systems-Level Electrophysiological Activity During Focused Attention Meditation by Noga Aviad, Oz Moskovich, Ophir Orenstein, Etam Benger, Arnaud Delorme, Amit Bernstein

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All-Cause Mortality Prediction in Subjects with Diabetes Mellitus Using a Machine Learning Model and Shapley Values by Oana Mirea, Mostafa Ghelich Oghli, Oana Neagoe, Mihaela Berceanu, Eugen Țieranu, Liviu Moraru, Victor Raicea, Ionuț Donoiu

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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

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High-reward, high-risk technologies? An ethical and legal account of AI development in healthcare by Maelenn Corfmat, Joé T. Martineau, Catherine Régis

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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

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DMSS: An Attention-Based Deep Learning Model for High-Quality Mass Spectrometry Prediction by Yihui Ren, Yu Wang, Wenkai Han, Yikang Huang, Xiaoyang Hou, Chunming Zhang, Dongbo Bu, Xin Gao, Shiwei Sun

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Smartphone-based health monitoring in India: Data collection and evaluation for pulse rate estimation by Achal Shetty, Sanjana S. Narasimhamurthy, KS Nataraj, Srilakshmi M. Prabhu, Neha Jagadeesh, Kunal Katre, Sumit Kumar, Neelesh Kapoor, Sudhir P. Haladi, Sankalp Gulati

Subjects: “…machine learning…”
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How to Identify If Your Time Series Inputs Are Adequate for AI Applications: Assessing Minimum Data Requirements in Environmental Analyses by Eduart Murcia Botache, Sandra Guzman

Subjects: “…Machine Learning…”
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An Improved Yolov10n for Detection of Bronchoalveolar Lavage Cells by Peihe Jiang, Shaoqi Li, Yanfen Lu, Xiaogang Song

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Advanced Machine Learning to Predict Coronary Artery Disease Severity in Patients with Premature Myocardial Infarction by Yu-Hang Wang, Chang-Ping Li, Jing-Xian Wang, Zhuang Cui, Yu Zhou, An-Ran Jing, Miao-Miao Liang, Yin Liu, Jing Gao

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Interpretable machine learning approach for electron antineutrino selection in a large liquid scintillator detector by A. Gavrikov, V. Cerrone, A. Serafini, R. Brugnera, A. Garfagnini, M. Grassi, B. Jelmini, L. Lastrucci, S. Aiello, G. Andronico, V. Antonelli, A. Barresi, D. Basilico, M. Beretta, A. Bergnoli, M. Borghesi, A. Brigatti, R. Bruno, A. Budano, B. Caccianiga, A. Cammi, R. Caruso, D. Chiesa, C. Clementi, S. Dusini, A. Fabbri, G. Felici, F. Ferraro, M.G. Giammarchi, N. Giudice, R.M. Guizzetti, N. Guardone, C. Landini, I. Lippi, S. Loffredo, L. Loi, P. Lombardi, C. Lombardo, F. Mantovani, S.M. Mari, A. Martini, L. Miramonti, M. Montuschi, M. Nastasi, D. Orestano, F. Ortica, A. Paoloni, E. Percalli, F. Petrucci, E. Previtali, G. Ranucci, A.C. Re, M. Redchuck, B. Ricci, A. Romani, P. Saggese, G. Sava, C. Sirignano, M. Sisti, L. Stanco, E. Stanescu Farilla, V. Strati, M.D.C. Torri, A. Triossi, C. Tuvè, C. Venettacci, G. Verde, L. Votano

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A novel intelligent photonic design method enabled by metamaterials and k-nearest neighbor by Fan Hangming, Pan Junlin, Wang Yongchen, Yuan Zhe, Cheng Mengfan, Yang Qi, Liu Deming, Deng Lei

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The Application of Machine Learning for Creating a Typology of Universities' Financial Models by I. A. Khodachek, D. V. Minaev, A. V. Zinkovskaya, E. B. Yablokov

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Analysis of instructions virtual machine vulnerabilities in anti-virus software by Yijun WANG

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A Technique to Predict Bankruptcy Using Ultimate Ownership Network as Key Indicators by Dyah Sulistyowati Rahayu, Zaäfri Ananto Husodo, Jan Pidanic, Xue Li, Heru Suhartanto

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A FEW PRELIMINARY CONSIDERATIONS ON INFRINGEMENT OF COPYRIGHT BY ARTIFICIAL INTELLIGENCE by Paul-George BUTA

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Identification of ubiquitination-related key biomarkers and immune infiltration in Crohn’s disease by bioinformatics analysis and machine learning by Wei Chen, Zeyan Xu, Haitao Sun, Wen Feng, Zhenhua Huang

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A Novel Point-of-Care Prediction Model for Steatotic Liver Disease: Expected Role of Mass Screening in the Global Obesity Crisis by Jeayeon Park, Goh Eun Chung, Yoosoo Chang, So Eun Kim, Won Sohn, Seungho Ryu, Yunmi Ko, Youngsu Park, Moon Haeng Hur, Yun Bin Lee, Eun Ju Cho, Jeong-Hoon Lee, Su Jong Yu, Jung-Hwan Yoon, Yoon Jun Kim

Subjects: “…machine learning; fatty liver; obesity; bioelectrical impedance…”
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