Rapid Fluid Velocity Field Prediction in Microfluidic Mixers via Nine Grid Network Model by Qian Li, Yuwei Chen, Taotao Sun, Junchao Wang

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THE EVOLUTION OF MICROSCOPE (AEOS) EXOSCOPE IN THE WORLD OF ARTIFICIAL INTELLIGENCE AND ITS APPLICATION IN LUMBAR DISC HERNIATIONS SURGERY: A COMPREHENSIVE STUDY FROM HISTORICAL PE... by Lucian Eva, Maria-Raluca Munteanu, Mădălina Duceac (Covrig), Iulia Olaru, Constantin Marcu, Marius-Gabriel Dabija

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Design and implementation of online learning assisted intelligent receiver by Lingjin KONG, Kai MEI, Xiaoran LIU, Jun XIONG, Haitao ZHAO, Jibo WEI

Subjects: “…machine learning…”
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A Feature Selection Approach Based on Archimedes’ Optimization Algorithm for Optimal Data Classification by Lahbib Khrissi, Nabil El Akkad, Hassan Satori, Khalid Satori

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Artificial intelligence in dentistry

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La digitalización del Diccionario Técnico de la música de Felipe Pedrell by Eugenia Gallego, David Pérez-Sevilla Pérez-Medrano, Rosario López Gómez, María Ordiñana Gil, Teresa Cascudo García-Villaraco

Subjects: “…digitalización, machine learning, diccionario, musicología, humanidades digitales…”
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Inversion Methods of Soil Hydraulic Parameters Based on Hyperspectral Characteristics by WU Yanmei, ZHU Han, LI Ji, LI Zixin, HE Jianliang, LIN Kairong, DONG Chunyu, ZHUANG Luwen

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Medium‐Range Forecasting of Solar Wind: A Case Study of Building Regression Model With Space Weather Forecast Testbed (SWFT) by Chunming Wang, I. Gary Rosen, Bruce T. Tsurutani, Olga P. Verkhoglyadova, Xing Meng, Anthony J. Mannucci

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dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors by Yasser Hayek-Orduz, Dorian Armando Acevedo-Castro, Dorian Armando Acevedo-Castro, Juan Sebastián Saldarriaga Escobar, Brandon Eli Ortiz-Domínguez, María Francisca Villegas-Torres, Paola A. Caicedo, Álvaro Barrera-Ocampo, Natalie Cortes, Edison H. Osorio, Andrés Fernando González Barrios

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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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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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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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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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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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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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