Predicting the shield effectiveness of carbon fiber reinforced mortars utilizing metaheuristic algorithms by Mana Alyami, Irfan Ullah, Furqan Ahmad, Hisham Alabduljabbar

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Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

Subjects: “…geometric quantum machine learning…”
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The role of artificial intelligence in aortic valve stenosis: a bibliometric analysis by Shanshan Chen, Shanshan Chen, Changde Wu, Zhaojie Zhang, Lingjuan Liu, Yike Zhu, Dingji Hu, Chenhui Jin, Haoya Fu, Jing Wu, Songqiao Liu, Songqiao Liu, Songqiao Liu

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Predicting nighttime black ice using atmospheric data for efficient winter road maintenance patrols by Jinhwan Jang

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Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients by Aref Andishgar, Sina Bazmi, Kamran B. Lankarani, Seyed Alireza Taghavi, Mohammad Hadi Imanieh, Gholamreza Sivandzadeh, Samira Saeian, Nazanin Dadashpour, Alireza Shamsaeefar, Mahdi Ravankhah, Hamed Nikoupour Deylami, Reza Tabrizi, Mohammad Hossein Imanieh

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FoxA1 knockdown promotes BMSC osteogenesis in part by activating the ERK1/2 signaling pathway and preventing ovariectomy-induced bone loss by Lijun Li, Renjin Lin, Yang Xu, Lingdi Li, Zhijun Pan, Jian Huang

Subjects: “…Machine learning…”
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A novel early stage drip irrigation system cost estimation model based on management and environmental variables by Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat

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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

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GeoTemporal clustering for aquifer delineation: a big data approach to synchronizing and analyzing variable-length groundwater time series by Khalid ElHaj, Dalal Alshamsi

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Retrospectively understanding the multifaceted interplay of COVID-19 outbreak, air pollution, and sociodemographic factors through explainable AI by Mohmmed Talib, Kripabandhu Ghosh, Gopala Krishna Darbha

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RNA editing-based biomarker blood test for the diagnosis of bipolar disorder: protocol of the EDIT-B study by Andrea Miranda-Mendizabal, Diana Vetter, Juan Zambrano, Jeff Zarp, Victor Chavarría, Anna Giménez-Palomo, Meritxell Gonzalez-Campos, Marc Valenti, Lara Walczer Baldinazzo, Sara Siddi, Maurizio Ferrari, Dinah Weissmann, Chantal Henry, Josep Maria Haro, Lars Vedel Kessing, Eduard Vieta

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Comparative use of different AI methods for the prediction of concrete compressive strength by Mouhamadou Amar

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Improving the selection of object-analogues of oil and gas fields in designing reservoir engineering by Alexander V. Karsakov, Pavel N. Zyatikov, Kirill V. Sinebriukhov, Irina V. Sharf

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Modeling Tick Populations: An Ecological Test Case for Gradient Boosted Trees by Manley, William, Tran, Tam, Prusinski, Melissa, Brisson, Dustin

Subjects: “…Ticks; Lyme Disease; Ecology; Statistical Ecology; Species Distribution Modeling; Machine Learning…”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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Apriori algorithm based prediction of students’ mental health risks in the context of artificial intelligence by You Fu, Fang Ren, Jiantao Lin

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Editorial: Leveraging artificial intelligence and open science for toxicological risk assessment by Marc Teunis, Thomas Luechtefeld, Thomas Hartung, Thomas Hartung

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Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction by Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli

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Predicting pregnancy loss and its determinants among reproductive-aged women using supervised machine learning algorithms in Sub-Saharan Africa by Tirualem Zeleke Yehuala, Sara Beyene Mengesha, Nebebe Demis Baykemagn

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Learning under label noise through few-shot human-in-the-loop refinement by Aaqib Saeed, Dimitris Spathis, Jungwoo Oh, Edward Choi, Ali Etemad

Subjects: “…Data-centric machine learning…”
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