Dynamic Modeling and Composite Attitude Cooperative Control for Dumbbell-Shaped Spacecraft by Qingmu Ai, Yingzi Guan, Yuzhi Wang, Shunli Li

“…Then, leveraging graph and consensus theories, an attitude coordination consistency algorithm is developed. A virtual leader is designed using model predictive control. …”
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Identification of Postural Deviations and Trunk Asymmetries in Physical Therapy Students Using an AI-Based Mobile Application by Liviu Moraru, Adela Badau, Florin Marin Litoi, Andrei Madalin Petrescu, Catalin Octavian Manescu, Neluta Smidu

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Identification of Outer Galaxy Cluster Members Using Gaia DR3 and Multidimensional Simulation by Vishwas Patel, Joseph L. Hora, Matthew L. N. Ashby, Sarita Vig

“…A Monte Carlo simulation coupled with the HDBSCAN ^* (HDBSCAN-MC algorithm) addresses YSO astrometric uncertainties through 5D clustering. …”
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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

“…The system begins with preprocessing steps, including converting videos into image sequences, applying sliding window techniques, and converting images to grayscale, then extracting human silhouettes using binary masks. We use the GrabCut algorithm for human detection and perform skeletonization with Hough transform algorithm. …”
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Techno-economic analysis and energy management strategies for micro gas turbines: A state-of-the-art review by A.H. Samitha Weerakoon, Mohsen Assadi

“…Additionally, the optimization of Micro Gas Turbine systems using advanced algorithms enhances energy efficiency by 10–15%, highlighting the importance of smart control systems and optimal component sizing. …”
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A Comparative study on the impact of urbanisation on microclimate in Cairo (Egypt) and London (UK) using remote sensing and Machine Learning by L. Sabobeh, T. Ali, M. Md. Mortula

“…Several machine learning (ML) algorithms were compared, with Support Vector Machine (SVM) ultimately selected for its superior performance. …”
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Deep Learning‐Guided Urban Climate Risk Mitigation Through Optimal Spatial Allocation of Green and Cool Roofs by JiHyun Kim, Suyeon Choi, Mahdi Panahi, Hocheol Seo, Yeonjoo Kim

“…These indices were used to test four deep learning algorithms: UNet, UNet++, UNet3+, and Multi‐ResUNet. …”
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Optimising laboratory monitoring of chronic conditions in primary care: a quality improvement framework by Alex J Walker, Richard Croker, Jessica Watson, Andy Brogan, Darunee Whiting, Tom Lewis

“…The main difference from previous general practitioner practice algorithms was removing the requirement for full blood count and liver function test monitoring for many conditions. …”
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Prevention of falls in hospitalized patients—evaluation of the effectiveness of a monitoring system (Verso Vision) developed with artificial intelligence by Corrado Gervasi, Erik Perego, Francesca Galli, Valter Torri, Massimo Castoldi, Emilio Bombardieri

“…The Verso Vision System (VS) is an artificial intelligence-based system for accidental fall prevention and management, which uses computer vision algorithms to monitor environments and people in real time.MethodsThe efficacy of VS monitoring in terms of reduction of accidentals falls was retrospectively evaluated in a group of 362 hospitalized patients at Humanitas Gavazzeni Hospital.ResultsOf the 362 patients included in the analysis, 580 statistical units, 228 monitored with VS and 355 without VS were obtained splitting the observation of each patient based on the presence of VS monitoring and the Stratify score. …”
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ALGORITMOS SUPERVISADOS PARA LA PREDICCIÓN DEL ANCHO DE BANDA DE LAS APLICACIONES EN AMAZON WEB SERVICE DESDE UNA PYME RURAL by Ramiro Osorio Diaz, Martha Yaneth Segura Ruiz, Mauricio Alonso Villalba

“…A comparative study of threeneural network algorithms that model a multilayer neural network is performed, selecting the one that has a minimumerror that approaches zero; the selected algorithm is trained from a data source to predict the network traffic thatconnects to the cloud. …”
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Geographic origin discrimination and quantification of phenolic compounds and moisture in Artemisia argyi folium using NIRS and chemometrics by Lifei Hu, Yifan Wang, Xin Wu, Yuanyuan Shan, Fengxiao Zhu, Fan Zhang, Qiang Yang, Mingxing Liu

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Enhancing Lung Ultrasound Diagnostics: A Clinical Study on an Artificial Intelligence Tool for the Detection and Quantification of A-Lines and B-Lines by Mahdiar Nekoui, Seyed Ehsan Seyed Bolouri, Amir Forouzandeh, Masood Dehghan, Dornoosh Zonoobi, Jacob L. Jaremko, Brian Buchanan, Arun Nagdev, Jeevesh Kapur

“…In quantifying B-lines, the algorithm achieved a weighted kappa score of 0.77 (95% CI 0.74 to 0.80) and an ICC of 0.87 (95% CI 0.85 to 0.89), showing substantial agreement between the ground truth and predicted B-line counts. …”
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Mental health of university students twenty months after the beginning of the full-scale Russian-Ukrainian war by Marina Polyvianaia, Yulia Yachnik, Jörg M. Fegert, Emily Sitarski, Nataliia Stepanova, Irina Pinchuk

“…Correlation between variables was calculated with Pearson correlation, adjusted with Benjamini-Hochberg procedure. To develop the predictive model the XGBoost algorithm was employed, additionally, the SHAP algorithm was utilized. …”
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Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

“…Accurate predictions of irrigation’s impact on crop yield are crucial for effective decision-making. …”
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Systematic pan-cancer analysis identifies PKNOX1 as a potential prognostic and immunological biomarker and its functional validation by Kan Liu, Yongkang Xu, Ye Mao, Shumin Fu, Shenglan Huang, Jianbing Wu

“…The correlations between PKNOX1 expression and MDSC immune infiltration and immune cells were analyzed using the TIDE algorithm and the ESTIMATE algorithm. PKNOX1 -interacting proteins and expression-related genes were analysed via the STRING and TIMER 2.0 platforms, and the functions of PKNOX1 in tumors and the cell pathways involved were predicted via KEGG enrichment analysis. …”
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Mapping landforms of a hilly landscape using machine learning and high-resolution LiDAR topographic data by Netra R. Regmi, Nina D.S. Webb, Jacob I. Walter, Joonghyeok Heo, Nicholas W. Hayman

“…We used 4200 landform observations (600 per landform) and eight topographic indices derived from 2 m, 5 m and 10 m resolution LiDAR DEM in random forest algorithm to develop 2 m, 5 m and 10 m resolution landform models. …”
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Modeling microbial drug-resistance: from mathematics to pharmacoeconomics by Yu. M. Gomon, M. A. Arepyeva, Yu. E. Balykina, A. S. Kolbin, A. A. Kurylev, M. A. Proskurin, S. V. Sidorenko

“…The proposed mathematical model allows one to predict the changes in microbial  drug-resistance and choose the optimal algorithm of AMA consumption able to restrain the growth of drug-resistance.…”
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Semantic influence of programming on the development of thinking of students: background, research and prospects by M. U. Mukasheva, Y. V. Payevskaya

“…Altynsarin with the support of the grant from the Ministry of Education and Science of the Republic of Kazakhstan. …”
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Privacy-Preserving Machine Learning (PPML) Inference for Clinically Actionable Models by Baris Balaban, Seyma Selcan Magara, Caglar Yilgor, Altug Yucekul, Ibrahim Obeid, Javier Pizones, Frank Kleinstueck, Francisco Javier Sanchez Perez-Grueso, Ferran Pellise, Ahmet Alanay, Erkay Savas, Cetin Bagci, Osman Ugur Sezerman

“…Machine learning (ML) refers to algorithms (often models) that are learned directly from data, germane to past experience. …”
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Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma by Bingxin Zhang, Dong Zheng, Shuxia Zhu, Xinyi Zhang, Quanqiang Wang, Zhili Lin, Ziwei Zheng, Shujuan Zhou, Zixing Chen, Sisi Zheng, Enqing Lan, Luning Cui, Hansen Ying, Yu Zhang, Xuanru Lin, Qiang Zhuang, Honglan Qian, Xudong Hu, Yan Zhuang, Qianying Zhang, Zhouxiang Jin, Songfu Jiang, Yongyong Ma, Yongyong Ma, Yongyong Ma

“…However, the relationship between disulfidptosis and MM is still unclear.MethodsUsing the non-negative matrix factorization and lasso algorithm, we constructed the disulfidptosis-associated subtypes and the prognostic model on the GEO dataset. …”
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