Development of an algorithm for determining the heat transfer coefficient of the body of an isothermal vehicle based on the results of analysis of the heat exchange processes occur... by A. A. Golubin, S. N. Naumenko

“…The article analyzes the heat exchange processes the thermal imaging method using a thermal imaging device. An occurring in the body of an isothermal vehicle when determining algorithm for determining the heat transfer coefficient is proposed, the heat transfer coefficient K by the internal heating method. which makes it possible to calculate its value with an accuracy not The differences are shown in the values of the heat transfer coef-exceeding 5 %, which is regulated by a number of international ficients obtained by the equilibrium internal heating method and normative documents, while reducing the duration of the experiment by at least 6 times. …”
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Hybrid Transformer-KAN Within Federated Learning Framework: A Novel Machine Learning Approach for Improved Short-Term Weather Forecasting by Shuai Jin, Qiang Li, Sanqiu Liu, Olebogeng Kevin Joel, Xiaohu Ge

“…Furthermore, federated learning is applied to the proposed method to exploit the spatio-temporal dependencies while protecting data privacy. …”
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MODELING LONGITUDINAL MEASUREMENTS OF CLINICAL AND EPIDEMIOLOGICAL PARAMETERS USING JOINPOINT REGRESSION by Mihaela Moscalu, Ionela-Lăcrămioara Șerban, Norin Forna, Mihaela Pundiche, Loredana Mitran, Madalina-Elena Datcu, Nicolae Șerban Dragomir, Alin Constantin Pînzariu

“…Conclusions The utility of this method is highlighted in supporting evidence-based decision-making in both clinical practice and research, while also emphasizing the methodological challenges and future directions for development. …”
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SAR-SPA: Incorporating Target Scattering Characteristic Parameters in Adversarial Example Generation for SAR Imagery by Jiahao Cui, Jiale Duan, Binyan Luo, Hang Cao, Wang Guo, Haifeng Li

“…Deep neural networks (DNNs)-based SAR target recognition models are susceptible to adversarial examples, which significantly reduce model robustness. Current methods for generating adversarial examples for SAR imagery primarily operate in the 2-D digital domain, known as image adversarial examples (I-AE). …”
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Resource allocation for coexistence of eMBB and bursty URLLC based on queueing with preemption by Wei Guo, Kai Liang, Yuewen Song, Xiaoli Chu, Gan Zheng, Kai-Kit Wong

“…Based on this analysis, we formulate a mixed-integer nonlinear programming problem to minimize the average delay of URLLC packets while satisfying the average delay and throughput requirements of eMBB by jointly optimizing the eMBB subcarrier allocation, the URLLC subcarrier scheduling and the computing resource allocation. …”
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Synthesis of Global Reaction Routes Using Thermodynamic Evaluation by Consuelo C. G. Silva, Luiz Henrique S. Silva, Reginaldo Guirardello

“…Methane, a versatile and abundant resource, offers dual benefits: meeting energy demands while reducing environmental impacts through advanced conversion methods. …”
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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

“…Simulation results confirmed its robustness in terms of superior accuracy (99.91%), precision (99.65%), recall (99.81%) and F-Measure (99.72%) over other methods, signifying its optimality towards real-time and scalable breast cancer diagnosis.…”
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Needle core biopsy for breast lesions: An audit of 467 needle core biopsies by Selvi Radhakrishna, Anu Gayathri, Deepa Chegu

“…Where there is no discordance between clinical, radiology and pathology findings, surgery can be avoided in benign lesions. While in resource poor countries FNAC continues to be a valuable method in the diagnosis of palpable and non palpable breast lesions, the practice of needle core biopsy provides the most accurate and optimal diagnostic information.…”
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An assessment of photodynamic therapy efficacy for the treatment of Bowen’s disease of the vulva by V. V. Dunaievska, Ye. O. Horkavyi

“…Photodynamic therapy (PDT) is regarded as an effective method of this disease treatment in the vulva area. …”
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Data Analysis and Forecasting of COVID-19 Pandemic in Kuwait Based on Daily Observation and Basic Reproduction Number Dynamics by Kayode Oshinubi, Fahima Al-Awadhi, Mustapha Rachdi, Jacques Demongeot

“…The results show that support vector regression has achieved the best performance for prediction while a simple exponential model without trend gives good optimal results for forecasting of Kuwait COVID-19 data. …”
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Cancelable biometric authentication leveraging empirical mode decomposition and quaternion representations for IoT security by Mahmoud Nasr, Krzysztof Brzostowski, Adam Piórkowski, Fathi E. Abd El-Samie

“…These findings highlight the method capacity to tackle significant security issues, while ensuring optimal performance in practical applications.…”
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Simultaneous Liquid Digestate Treatment and High-Value Microalgal Biomass Production: Influence of Post-Harvest Storage on Biochemical Profiles by Ewelina Sobolewska, Michał Komar, Sebastian Borowski, Paulina Nowicka-Krawczyk, António Portugal, Nuno Mesquita, Mariana F. G. Assunção, Berk Aksoy, João Cotas, Leonel Pereira

“…The experiment showed optimal growth of microalgae at OLR = 0.1 gCOD/L/day (where COD is Chemical Oxygen Demand), while a higher OLR value led to culture destabilization. …”
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Deep learning based detection of enlarged perivascular spaces on brain MRI by Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes

“…Furthermore, the model provides whole-brain maps of ePVS, enabling a better understanding of their clinical correlates compared to the clinical rating methods within only a couple of brain regions.…”
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Conditional Generative Adversarial Networks and Deep Learning Data Augmentation: A Multi-Perspective Data-Driven Survey Across Multiple Application Fields and Classification Archit... by Lucas C. Ribas, Wallace Casaca, Ricardo T. Fares

“…A simple yet effective way to address this is by applying modern deep learning augmentation methods, as they synthesize new data matching the input distribution while preserving the semantic content. …”
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Factors Influencing the Quality of Managing Severe Malaria among Children under Five Years at Selected County Hospitals in Kisumu, Kenya by Rose Maoga, Alex Chebor, Nyumbile Bonface

“…Moreover, these findings suggest that while healthcare providers are knowledgeable and committed to quality malaria management, systemic challenges such as resource limitations, caregiver education gaps, and treatment non-adherence impact their ability to deliver optimal care. …”
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Accuracy of diagnosis and evaluation of first ray hypermobility in symptomatic and asymptomatic hallux valgus patients using ultrasonography by Jirawat Saengsin, Pichitchai Atthakomol, Nuttaya Pattamapaspong, Tanawat Vaseenon

“…Abstract Background Hypermobility of the first ray is related to many foot problems. Existing methods to assess this condition have diverse advantages and disadvantages. …”
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Study on Drive System of Hybrid Tree Harvester by Shen Rong-feng, Zhang Xiaozhen, Zhou Chengjun

“…With the new design, the diesel engine maintains a constant engine speed, keeping fuel consumption low while charging the batteries that drive the forwarder. …”
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A Modified Differential Evolution for Source Localization Using RSS Measurements by Yunjie Tao, Lincan Li, Shengming Chang

“…In wireless sensor networks, evolutionary algorithms have emerged as pivotal tools for addressing complex localization challenges inherent in non-convex and nonlinear maximum likelihood estimation problems associated with received signal strength (RSS) measurements. While differential evolution (DE) has demonstrated notable efficacy in optimizing multimodal cost functions, conventional implementations often grapple with suboptimal convergence rates and susceptibility to local optima. …”
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Incentive mechanism of foundation model enabled cross-silo federated learning by Ning Zhang, Xiaoqing Xu, Xiaojun Liu, Juan Wu, Hong Tang

“…Third, we model the incentive mechanism as a two-stage Stackelberg game to establish symbiotic incentives, where the server adaptively adjust pricing strategy while clients optimize participation strategies. …”
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Does urban density always boost smart productivity? Evidence of an inverted U-shaped relationship in Chinese cities. by Tao Chen, Yike Zhang, Yaoning Yang, Binbin Wu, Genyu Xu

“…Using entropy weight method, we construct comprehensive indices to measure both urban density and smart productivity levels. …”
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