Quantifying training response in cycling based on cardiovascular drift using machine learning by Artur Barsumyan, Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard, Rene Burchard, Rene Burchard

Get full text

Design and Development of a Vertical Paddle Semi Automated Garri Frying Machine by C.P. Nwadinobi, J.C. Edeh, K.I. Mejeh

Get full text

Design and Development of a Vertical Paddle Semi Automated Garri Frying Machine by C.P. Nwadinobi, J.C. Edeh, K.I. Mejeh

Get full text

Disease Phenotypes in Refractory Musculoskeletal Pain Syndromes Identified by Unsupervised Machine Learning by Thomas Hügle, Tiffany Prétat, Marc Suter, Chris Lovejoy, Pedro Ming Azevedo

Get full text

2D physically unclonable functions of the arbiter type by V. N. Yarmolik, A. A. Ivaniuk

“…It is shown that the classical APUF uses a standard basic element that performs two functions,  namely, the function of choosing a pair of paths Select and the function of switching paths Switch, which, due to their joint use, allow achieving high performance. …”
Get full text

Identification of mitophagy-related biomarkers in human rheumatoid arthritis using machine learning models by Jiayi Chen, Zuhai Huang, Chengyu Qin, Zixiang Pang, Yuanming Chen

Get full text

Identification of ZNF652 as a Diagnostic and Therapeutic Target in Osteoarthritis Using Machine Learning by Chen Y, Liang R, Zheng X, Fang D, Lu WW, Chen Y

“…The underlying mechanism is that ZNF652 was related to nitric oxide anabolism, macrophage proliferation, various signaling pathways, and immune cells and their functions in OA. Nevertheless, the findings need to be confirmed in clinical trials and the molecular mechanism requires further study.Keywords: osteoarthritis, zinc finger protein 652, machine learning algorithms, immune cell…”
Get full text

Genetic Artificial Hummingbird Algorithm-Support Vector Machine for Timely Power Theft Detection by Emmanuel Gbafore, Davies Rene Segera, Cosmas Raymond Mutugi Kiruki

“…Despite the time complexity trade-off, its excellent performance on the unimodal and multimodal benchmark test functions, placing joint best in 7 out of 7 and 5 out of 6, respectively, provides important insights into the model’s capacity to balance exploitation and exploration, improve local search, and avoid becoming stuck in the local optimum. …”
Get full text

Advancing Enzyme-Based Detoxification Prediction with ToxZyme: An Ensemble Machine Learning Approach by Kashif Iqbal Sahibzada, Shumaila Shahid, Mohsina Akhter, Muhammad Faisal, Reham A. Abd El Rahman, Muhammad Imran, Yangyong Lv, Dongqing Wei, Yuansen Hu

Get full text

Multi-Functional Test Benches for Electric Drive Instructional Laboratories by Alecksey Anuchin, Nikolay Kuraev, Lev Rassudov, Dmitrii Savkin, Galina Demidova

“…This paper deals with design aspects of such a laboratory and illustrates the available functionality for experiment conduction and the corresponding results visualization. …”
Get full text

A Hybrid Machine Learning and Optimization Model to Minimize the Total Cost of BRT Brake Components by Saeed Najafi-Zangeneh, Naser Shams Gharneh, Ali Arjomandi-Nezhad, Erfan Hassannayebi

“…The failure rate is modeled as a linear function of ETE and the quality of brake system subcomponents using a Lasso regression model. …”
Get full text

Machine learning models for clinical and structural knee osteoarthritis prediction: Recent advancements and future directions by Gabby B. Joseph, Charles E. McCulloch, Michael C. Nevitt, Nancy E. Lane, Sharmila Majumdar, Thomas M. Link

“…This review highlights recent advances in ML model development across four OA outcome domains: clinical, structural (radiographic and MRI-based), and surgical endpoints, each addressing different but interrelated aspects of the disease.For clinical outcomes, ML studies have focused on predicting changes in patient-reported clinical measures (e.g., pain and function). Radiographic OA has been characterized using deep learning (DL) models, and ML approaches have also been used to predict progression of Kellgren Lawrence grades and joint space narrowing. …”
Get full text

Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis by Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Qian Li, Qian Li, Qian Li, Qian Li, Xinyi Xie, Wei Wang, Xuemei Li, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Li Zhang, Li Zhang, Li Zhang, Li Zhang, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Li Wang, Li Wang, Li Wang, Li Wang, Wutao Xie

Get full text

Deciphering Immunometabolic Landscape in Rheumatoid Arthritis: Integrative Multiomics, Explainable Machine Learning and Experimental Validation by Dong Q, Wu J, Zhang H, Chen X, Xu X, Chen J, Shi C, Luo L, Zhang D

“…Explainable machine learning, PPI network analysis, and qPCR jointly identified four hub genes (PFN1, SRP14, S100A11, and SAP18). …”
Get full text

The relevance and efficiency analysis of functioning the scientific technical library at industrial enterprises by S. M. Brykalov, A. S. Balyberdin, V. E. Borodina

Get full text

Cellular senescence-associated genes in rheumatoid arthritis: Identification and functional analysis. by You Ao, Qing Lan, Tianhua Yu, Zhichao Wang, Jing Zhang

Get full text

Function-Oriented Applicability Evaluation of Technical Folding Based on Expert Knowledge by Franziska Wieja, Georg Jacobs, Stefan Stürmer, Kathrin Boelsen, Christian Konrad, Judith Merz, Kevin Moreno Gata, Alex Seiter

Get full text

Computational functions of precisely balanced neuronal microcircuits in an olfactory memory network by Claire Meissner-Bernard, Bethan Jenkins, Peter Rupprecht, Estelle Arn Bouldoires, Friedemann Zenke, Rainer W. Friedrich, Thomas Frank

Get full text

An Interpretable Machine Learning Procedure Which Unravels Hidden Interplanetary Drivers of the Low Latitude Dayside Magnetopause by Sheng Li, Yang‐Yi Sun, Chieh‐Hung Chen

“…Abstract In this study, we propose an interpretable machine learning procedure to unravel the importance of multiple interplanetary parameters to the Earth's magnetopause standoff distance (MSD). …”
Get full text

Machine learning-based characterization of stemness features and construction of a stemness subtype classifier for bladder cancer by Heping Qiu, Xiaolin Deng, Jing Zha, Lihua Wu, Haonan Liu, Yichen Lu, Xinji Zhang

Get full text