Multicomponent MR Image Denoising by José V. Manjón, Neil A. Thacker, Juan J. Lull, Gracian Garcia-Martí, Luís Martí-Bonmatí, Montserrat Robles

“…In this paper we propose a new filter to reduce random noise in multicomponent MR images by spatially averaging similar pixels using information from all available image components to perform the denoising process. The proposed algorithm also uses a local Principal Component Analysis decomposition as a postprocessing step to remove more noise by using information not only in the spatial domain but also in the intercomponent domain dealing in a higher noise reduction without significantly affecting the original image resolution. …”
Get full text

CONTRIBUTION OF T.D. ZYRYANOVA TO THE STUDY OF THE PROBLEM OF PELVIC BONES INJURIES AND ASSOCIATED COMPLICATIONS by Z. V. Koshkareva, V. A. Sorokovikov, M. A. Makarova

Get full text

Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care by Leonard Knoedler, Christian Festbaum, Jillian Dean, Helena Baecher, Grégoire de Lambertye, Maximilian Maul, Thomas Schaschinger, Tobias Niederegger, Alexandra Scheiflinger, Michael Alfertshofer, Khalil Sherwani, Claudius Steffen, Max Heiland, Steffen Koerdt, Samuel Knoedler, Andreas Kehrer

“…This study aimed to develop a cost-effective, rapid, and accurate artificial intelligence (AI)-based algorithm to screen FP patients for facial synkinesis. …”
Get full text

Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study by Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

“…ObjectiveThis study aimed to develop an electronic medical record–based machine learning algorithm that would predict lower extremity complications. …”
Get full text

Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…Specifically, ML models can extract key information and construct predictive models through feature extraction and pattern recognition using existing data. …”
Get full text

Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements by Evgenii Kanin, Alsu Garipova, Sergei Boronin, Vladimir Vanovskiy, Albert Vainshtein, Andrey Afanasyev, Andrei Osiptsov, Evgeny Burnaev

“…We also provide recommendations for further development of the proposed algorithm to account for geological realism.…”
Get full text

Metabolic dysfunction-associated steatotic liver disease (MASLD) biomarkers and progression of lower limb arterial calcification in patients with type 2 diabetes: a prospective coh... by Damien Denimal, Maharajah Ponnaiah, Franck Phan, Anne-Caroline Jeannin, Alban Redheuil, Joe-Elie Salem, Samia Boussouar, Pauline Paulstephenraj, Suzanne Laroche, Chloé Amouyal, Agnès Hartemann, Fabienne Foufelle, Olivier Bourron

“…We also measured the serum biomarkers included in the FibroMax® panels (SteatoTest®, FibroTest®, NashTest®, ActiTest®). The predictive ability of these biomarkers of MASLD on LLACS progression was assessed through univariate and multivariate linear regression models, principal component regression analysis, as well as machine learning algorithms. …”
Get full text

Investigating potential biomarkers associated with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis using Mendelian randomization and transcriptomic analysis by Yujia Wang, Zhimin Chen, Kaiqi Huang, Keng Ye, Shiwei He, Yanfang Xu, Hong Chen

“…Genes with a significant causal relationship were selected as candidate genes for further analysis. Machine learning algorithms, ROC curve analysis, and expression evaluation were employed to screen for biomarkers. …”
Get full text

Identification and validation of endoplasmic reticulum autophagy-related potential biomarkers in periodontitis by Ruyue Wang, Jinyue Hu, Qing Sun, Shuixiang Guo, Gege Zhang, Ao Lu, Shuo Liu, Xue Yang, Lina Wang

“…The CIBERSORT deconvolution algorithm was used to study the link between potential biomarkers and distinct types of immune cells. …”
Get full text

CTAB modified SnO₂ PEDOT PSS heterojunction humidity sensor with enhanced sensitivity stability and machine learning evaluation by Poundoss Chellamuthu, Kirubaveni Savarimuthu, M Gulam Nabi Alsath, R. Krishnamoorthy, Yuvaraj T, Feras Alnaimat, Mohammad Shabaz

“…Furthermore, to validate real-time application feasibility, machine learning (ML) algorithms were implemented to model and predict sensor behavior. …”
Get full text

Physics-informed modeling of splitting tensile strength of recycled aggregate concrete using advanced machine learning by Kennedy C. Onyelowe, Viroon Kamchoom, Shadi Hanandeh, S. Anandha Kumar, Rolando Fabián Zabala Vizuete, Rodney Orlando Santillán Murillo, Susana Monserrat Zurita Polo, Rolando Marcel Torres Castillo, Ahmed M. Ebid, Paul Awoyera, Krishna Prakash Arunachalam

“…By harnessing the synergies between physics-based principles and data-driven algorithms, PIM-ML not only streamlines the design process but also enhances the reliability and sustainability of concrete structures. …”
Get full text

Evaluation of the Effectiveness of Increasing the Digital Literacy of Personnel in the Context of Digital Transformation by V. S. Knyazkova

Get full text

Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

Get full text

Methods for Determining the Size of three-Dimensional Objects in Images by L. V. Serebryanaya, V. N. Breshko

Get full text

The application of deep learning-based technique detection model in table tennis teaching and learning by Shunshui He

Get full text

Study of the Extended Phase Shift Migration for Three-Dimensional MIMO-SAR Imaging in Terahertz Band by Hang Gao, Chao Li, Shiyou Wu, Hebin Geng, Shen Zheng, Xiaodong Qu, Guangyou Fang

“…Finally, the ‘explode fields’ at time t = 0 can be successfully derived to realize fast imaging reconstruction for MIMO-SAR, with great reduction on the time consuming as compared with the BP algorithm and better accuracy compared with the Stolt migration. …”
Get full text

Using Artificial intelligence to evaluate skill performance of some karate skills by Hayder Nazar Jawoosh, Dr.Abeer Dakhil, dr. Muhammed Asim Muhammed, dr. Mazin Hadi Gizar

Get full text

GOES‐R PM2.5 Evaluation and Bias Correction: A Deep Learning Approach by Alqamah Sayeed, Pawan Gupta, Barron Henderson, Shobha Kondragunta, Hai Zhang, Yang Liu

“…Then a DNN based bias correction algorithm is used to improve the accuracies of GOES‐GWR PM2.5. …”
Get full text

Reliability and validity of the Transthyretin Amyloidosis – Quality of Life (ATTR-QOL) Questionnaire impact scales by Andrew Lovley, Kristen Hsu, Kaitlin LaGasse, Isabelle Lousada, Kristen L. McCausland, Michelle K. Carty, Sabrina Rebello, Jakob B. Bjorner

“…This study resulted in updates to the ATTR-QOL for item reduction and the development of a scoring algorithm. …”
Get full text

Classification Of Direction Using Naive Bayes Classifier Method (Case Study Of Hidayatul Islam Leces Vocational School) by Dwi Yanto, Heri Susanto, Ninanesia Rusdiana, Kiky Zulkifli

“…Abstract— Determining student majors is an important process in the world of education that can affect students' future. In this thesis, we conducted a study on determining student majors using the Naive Bayes Classifier algorithm at SMK Hidayatul Islam. …”
Get full text