Advanced Human Pose Estimation and Event Classification Using Context-Aware Features and XGBoost Classifier by Wasim Wahid, Aisha Ahmed AlArfaj, Ebtisam Abdullah Alabdulqader, Touseef Sadiq, Hameedur Rahman, Ahmad Jalal

“…HPE, crucial in applications like sports analysis and surveillance systems, involves predicting human joint locations from images and videos. …”
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Simulations of Microwave Land Surface Emissivity Using FengYun-3D Microwave Radiation Imager Data: A Case in the Tibetan Plateau by Yonghong Liu, Fuzhong Weng, Fei Tang, Rui Li, Yongming Xu, Yang Han, Jun Yang, Qingyang Liu

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Adaptive fusion of multi-cultural visual elements using deep learning in cross-cultural visual communication design by HuPei Wang

“…Implementation in e-commerce, educational, and financial service applications showed significant improvements in user engagement, task efficiency, and conversion rates. …”
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Features of Structural Hardware Transformation of Information in Cryptosystems by A. F. Chernyavskiy, E. I. Kozlova, Yu. A. Chernyavskiy

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Expanding the Possibilities of Modeling Signals of Telecommunications and Radioelectronics Systems by V. A. Ilyinkov, Y. S. Maisiyevich

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Filtration of histogram evaluation of probability density based on fuzzy data accessibility to a grouping interval by A. V. Ausiannikau, V. M. Kozel

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Challenges and Ethical Considerations in Implementing Assistive Technologies in Healthcare by Eleni Gkiolnta, Debopriyo Roy, George F. Fragulis

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Fractional Stochastic Van der Pol Oscillator with Piecewise Derivatives by Atul Kumar, Khursheed Alam, Mati ur Rahman, Homan Emadifar, Geeta Arora, Ahmed A. Hamoud

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Optimization of Parameters of Two-Beam Laser Twelding of Quartz Raw Materials by V. A. Emelyanov, E. B. Shershnev, Y. V. Nikitjuk, S. I. Sokolov, I. Y. Aushev

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Potential Herb-Drug Interactions Among Elderly Nursing Home Residents in Romania by Hanna Sebesi, László István Bába, Melinda Kolcsár, Zsolt Gáll, Soma Dávid

“…AIM: Our study investigates the algorithm-predicted HDIs during herb-drug coadministration among elderly patients in nursing homes in a Romanian sample. …”
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In vivo and in silico dynamics of the development of Metabolic Syndrome. by Yvonne J W Rozendaal, Yanan Wang, Yared Paalvast, Lauren L Tambyrajah, Zhuang Li, Ko Willems van Dijk, Patrick C N Rensen, Jan A Kuivenhoven, Albert K Groen, Peter A J Hilbers, Natal A W van Riel

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METHODS OF FORMING THE STRUCTURE OF KNOWLEDGE by Tatyana A. Snegiryova, Irina A. Grishanova

“…Cherepanov; taxonomy and thesaurus approach when creating a model of taxonomic structure of knowledge, as well as models of the formation of the knowledge structure.Results. The algorithm, stages and procedures of knowledge structure formation of trainees are considered in detail; the model of the given process is created; the technology of content selection of a teaching material due to the fixed time that has been released on studying of concrete discipline is shown.Scientific novelty and practical significance. …”
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A Hybrid GRA-TOPSIS-RFR Optimization Approach for Minimizing Burrs in Micro-Milling of Ti-6Al-4V Alloys by Rongkai Tan, Abhilash Puthanveettil Madathil, Qi Liu, Jian Cheng, Fengtao Lin

“…Moreover, the GRA-TOPSIS-RFR method significantly outperforms existing optimization and prediction models, with the integration of the RFR model enhancing prediction accuracy by 42.6% compared to traditional linear regression approaches. …”
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Novel insights of disulfidptosis-mediated immune microenvironment regulation in atherosclerosis based on bioinformatics analyses by Huanyi Zhao, Zheng Jin, Junlong Li, Junfeng Fang, Wei Wu, J. F. Fang

“…Furthermore, a nomogram including hub genes was established that accurately predicted the occurrence of AS. The consensus clustering algorithm was used to separate patients with early atherosclerotic plaques and patients with advanced atherosclerotic plaques into two disulfidptosis subtypes. …”
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques by Suganya Athisayamani, Tamilazhagan S, A. Robert Singh, Jae-Yong Hwang, Gyanendra Prasad Joshi

“…The second model pairs eXtreme Gradient Boosting (XGBoost), a highly efficient boosting algorithm for tabular data, with an Artificial Neural Network (ANN). …”
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The RF–Absolute Gradient Method for Localizing Wheat Moisture Content’s Abnormal Regions with 2D Microwave Scanning Detection by Dong Dai, Zhenyu Wang, Hao Huang, Xu Mao, Yehong Liu, Hao Li, Du Chen

“…For quantifying the wheat’s MC, a dual-parameter wheat MC prediction model with the random forest (RF) algorithm was constructed, achieving a high accuracy (R² = 0.9846, MSE = 0.2768, MAE = 0.3986). …”
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Disrupted fetal carbohydrate metabolism in children with autism spectrum disorder by Serena B. Gumusoglu, Brandon M. Schickling, Donna A. Santillan, Lynn M. Teesch, Mark K. Santillan

“…Untargeted principle components analysis of all metabolites did not reveal group differences, while targeted biomarker assessment (using only Fructose 6-phosphate, D-Mannose, and D-Fructose) by a Random Forest algorithm generated an area under the curve (AUC) = 0.766 (95% CI: 0.612–0.896) for ASD prediction. …”
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Development and Analysis of Patient-Based Complete Conducting Airways Models. by Rafel Bordas, Christophe Lefevre, Bart Veeckmans, Joe Pitt-Francis, Catalin Fetita, Christopher E Brightling, David Kay, Salman Siddiqui, Kelly S Burrowes

“…Other studies have incorporated an algorithmic approach to extrapolate CT segmented airways in order to obtain a complete conducting airway tree down to the level of the acinus. …”
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A deep learning software tool for automated sleep staging in rats via single channel EEG by Andrew Smith, Snezana Milosavljevic, Courtney J. Wright, Charlie A. Grant, Ana Pocivavsek, Homayoun Valafar

“…The algorithm was able to predict key parameters of sleep architecture, including total bout duration, average bout duration, and number of bouts, with significant accuracy. …”
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Single-cell and spatial transcriptomic analysis reveals tumor cell heterogeneity and underlying molecular program in colorectal cancer by Teng Wang, Zhaoming Chen, Wang Wang, Wang Wang, Heng Wang, Shenglong Li

“…However, this heterogeneity offers opportunities for personalized therapy.MethodsThe consensus non-negative matrix factorization algorithm was employed to analyze single-cell transcriptomic data from CRC, which helped identify malignant cell expression programs (MCEPs). …”
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