Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Sonam Bhardwaj, Ayon Tarafdar, Manoj Baghel, Triveni Dutt, Gyanendra Kumar Gaur

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Multi-scale machine learning model predicts muscle and functional disease progression by Silvia S. Blemker, Lara Riem, Olivia DuCharme, Megan Pinette, Kathryn Eve Costanzo, Emma Weatherley, Jeff Statland, Stephen J. Tapscott, Leo H. Wang, Dennis W. W. Shaw, Xing Song, Doris Leung, Seth D. Friedman

“…This study introduces a multi-scale machine learning framework leveraging whole-body magnetic resonance imaging (MRI) and clinical data to predict regional, muscle, joint, and functional progression in FSHD. …”
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ProbC: joint modeling of epigenome and transcriptome effects in 3D genome by Emre Sefer

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361 Automated assessment of facial nerve function using multimodal machine learning by Oren Wei, Diana Lopez, Ioan Lina, Kofi Boahene

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Comparative analysis of spring mechanisms of vibroprotective chairs of road construction machines by Korytov M.S., Sherbakov V.S., Pochekueva I.E.

“…A comparative analysis showed the advantages of the rhombic and three-point mechanisms over the Mezis truss in terms of providing less curvature of the functions of the deflecting force from the displacements of the working point, as well as a smaller number of springs. …”
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Review of Research on Artificial Intelligence-driven Joint Radar Communication by Xianmei WANG, Xiangbo LIU, Yuzheng REN, Yang LU, Haijun ZHANG

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Toward automated plantar pressure analysis: machine learning-based segmentation and key point detection across multicenter data by Carlo Dindorf, Jonas Dully, Steven Simon, Dennis Perchthaler, Stephan Becker, Hannah Ehmann, Christian Diers, Christoph Garth, Michael Fröhlich

“…Plantar pressure analysis is a pivotal tool for assessing foot function, diagnosing deformities, and characterizing gait patterns. …”
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Simultaneous Analysis of Vibrations and Noise in the Task of Minimizing Vibroacoustic Activity of Machines by Zbigniew DĄBROWSKI, Jacek DZIURDŹ

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A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

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A general cubic spline smooth semi-supervised support vector machine by ZHANG Xiao-dan, MA Jing-gai

“…A general cubic spline function with 2 times differentiable at zero point was deduced by a general three-moment method and was used to approach the non-smooth part in the semi-supervised support vector machine. …”
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Design and Development of High-Precision Hybrid Controller for Ultra-Precision Non-Conventional Single-Point Diamond Turning Processes by Shahrokh Hatefi, Khaled Abou-El-Hossein

“…Ultra-High precision Single-Point Diamond Turning (SPDT) is a widely used machining technology for generation components with optical grade surfaces. …”
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A Proposal for a New Python Library Implementing Stepwise Procedure by Luiz Paulo Fávero, Helder Prado Santos, Patrícia Belfiore, Alexandre Duarte, Igor Pinheiro de Araújo Costa, Adilson Vilarinho Terra, Miguel Ângelo Lellis Moreira, Wilson Tarantin Junior, Marcos dos Santos

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Application of Machine Learning for Identifying Factors Associated with Renal Function Impairment in Gouty Arthritis Patients by Osman Cüre, Fatih Bal

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Identification Method of Shaft Orbit in Rotating Machines Based on Accurate Fourier Height Functions Descriptors by Bo Wu, Songlin Feng, Guodong Sun, Liang Xu, Chenghan Ai

“…In this paper, an algorithm based on two novel shape descriptors and support vector machine (SVM) is proposed to improve the recognition accuracy and speed of shaft orbits of rotating machines. …”
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Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact by Enrique Mondragon-Estrada, Jane W. Newburger, Steven R. DePalma, Martina Brueckner, John Cleveland, Wendy K. Chung, Bruce D. Gelb, Elizabeth Goldmuntz, Donald J. Hagler, Jr., Hao Huang, Patrick McQuillen, Thomas A. Miller, Ashok Panigrahy, George A. Porter, Jr., Amy E. Roberts, Caitlin K. Rollins, Mark W. Russell, Martin Tristani-Firouzi, P. Ellen Grant, Kiho Im, Sarah U. Morton

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Enhancing software development effort estimation with a cloud-based data framework using use case points, fuzzy logic, and machine learning by Ritu, Pankaj Bhambri

“…This framework estimates the project effort with a use-case point technique based on real-project repository data. …”
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Innovative diagnostic framework for shoulder instability: a narrative review on machine learning-enhanced scapular dyskinesis assessment in sports injuries by Yahui Fu, Shuai Ma, Benxu Ma, Meng Han, Dongxue Zhao, Ziteng Li

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Predicting seizure onset zones from interictal intracranial EEG using functional connectivity and machine learning by Jared Pilet, Scott A. Beardsley, Chad Carlson, Christopher T. Anderson, Candida Ustine, Sean Lew, Wade Mueller, Manoj Raghavan

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Effect Analysis of Machining Errors of the Axle Wheel Hub Planet Carrier on Function and Durability-Related Parameters by Adam Fiausch

“…This paper introduces a real case study that analyzes the calculated and experimental effects of planet carrier machining quality from a functional property and service life point of view, and compares two parts, which represent the original and the developed status of the pin hole drilling process.…”
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Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining by DU Xueming, XIANG Yang, LIU Shun, JIN Sun

“…In the upgrading and automation of aeroengine gearbox assembly line, the introduction of new equipment such as zero-point positioning systems and auxiliary alignment systems has significantly improved production efficiency. …”
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