Dissipative Magneto-thermo-convection of Nanofluid Past through a Semi-infinite Vertical Surface with Ohmic Heating by Asra Anjum, Shaik Abdul Gaffar, Sateesh Kumar, Samdani Peerusab

“…The Buongiorno model offers a thorough framework for evaluating nanofluid dynamics since it considers both thermophoresis (Nt), Buoyancy ratio (Nr), and Brownian motion (Nb). …”
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Enhancing Fracture Detection in Remote Settings: Evaluating the Efficacy of FIXUS AI Deep Learning Algorithms in Identifying Fifth Metatarsal Fractures Using Mixed-Quality X-rays by Atta Taseh MD, Alireza Gholipour PhD, Mani Eftekhari, Alireza Ebrahimi MD, Alexandra F. Flaherty MD, MS, Alexandra F. Flaherty MD, MS, Sumner Jones, Varun Nukala, Gregory R. Waryasz MD, Daniel Guss MD, MBA, John Y. Kwon MD, Christopher W. DiGiovanni MD, Lorena Bejarano-Pineda MD, Soheil Ashkani-Esfahani MD

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PERFORMANCE STUDY OF THE DTU MODEL FOR RELATIONAL DATABASES ON THE AZURE PLATFORM by Serhii Minukhin

“…The aim of the study is to develop a system of indicators for monitoring the current state of work with the database for reasonable decision-making on the choice of a certain price category of the DTU model of the MS Azure cloud service, which will optimize the results of working with the database. platforms Achieving the set goals involves the following tasks: to analyze modern tools and services for working with databases, in particular relational databases, on Azure and AWS cloud platforms, the features of their application and implementation; develop software for generating test relational databases of different sizes; test the generated databases on a local resource; taking into account the characteristics of the levels of the Azure DTU model, develop a new system of performance indicators, which includes 2 groups - time indicators and indicators of the load on existing platform resources; develop and implement queries of varying complexity for the generated test database for different levels of the DTU model and analyze the results. …”
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A multi-dimensional performance evaluation of large language models in dental implantology: comparison of ChatGPT, DeepSeek, Grok, Gemini and Qwen across diverse clinical scenarios by Xing Wu, Guofei Cai, Bin Guo, Leizi Ma, Siqi Shao, Jun Yu, Yuchen Zheng, Linhong Wang, Fan Yang

“…The PCA results further indicate that Gemini-2.0-flash-thinking demonstrated the best comprehensive ability in both types of tasks, and reveal the existing differences in the performance of various LLMs. Conclusion This study reveals diverse LLMs differentiated capabilities in dental implantology, recommending context-specific model selection to different clinical scenario, as Gemini-2.0-flash-Thinking demonstrates optimal performance, notably for high-level clinical support. …”
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A genetic programming-based ensemble method for long-term electricity demand forecasting by Hayat Ahmed Issa, Hasan Hüseyin Çevik, Ahmet Yilmaz, Mehmet Cunkas

“…The preliminary forecast values generated in this stage were further refined in the second stage. …”
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A Cascade of Encoder–Decoder with Atrous Convolution and Ensemble Deep Convolutional Neural Networks for Tuberculosis Detection by Noppadol Maneerat, Athasart Narkthewan, Kazuhiko Hamamoto

“…Using the cropped lung images, we trained several pre-trained Deep Convolutional Neural Networks (DCNNs) on the images with hyperparameters optimized by a Bayesian algorithm. Different combinations of trained DCNNs were compared, and the combination with the maximum accuracy was retained as the winning combination. …”
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Hybrid of DSR-GAN and CNN for Alzheimer disease detection based on MRI images by Sarah Oraby, Ahmed Emran, Basel El-Saghir, Saeed Mohsen

“…The CNN model undergoes hyperparameter optimization and incorporates data augmentation strategies to maximize its efficiency. …”
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Assessment of transmission network connection solutions based on HVAC for offshore wind by Mattia Deriu, Michela Migliori, Corrado Gadaleta, Marco Cortese, Enrico Maria Carlini, Maria Dicorato, Giuseppe Forte, Gioacchino Tricarico

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Fault detection and assessment in an AC microgrid system using modified complex plane via positive sequence current measurement by Chinmayee Biswal, Pravat Kumar Rout, Binod Kumar Sahu, Manohar Mishra

“…Integrating distributed generations (DGs) into microgrids leads to many significant issues and challenges in fault detection due to bidirectional power flow, inertia change, fault current variation under different operating conditions, and topological changes. …”
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Illumination-adaptative granularity progressive multimodal image fusion method by Chuanyun WANG, Dongdong SUN, Mingqi ZHOU, Tian WANG, Qian GAO, Zhaokui LI

“…During the training phase, prior knowledge is used to generate augmented images as pseudo-labels. Homogeneous and heterogeneous loss functions are constructed based on different environmental conditions, enabling adaptive learning. …”
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A comparative study of deep reinforcement learning for crop production management by Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li

“…However, these methods have not yet been systematically evaluated under identical conditions. In this study, we evaluated PPO and DQN against static baseline policies across three different RL tasks, fertilization, irrigation, and mixed management, provided by the gym-DSSAT environment. …”
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The relative data hungriness of unpenalized and penalized logistic regression and ensemble-based machine learning methods: the case of calibration by Peter C. Austin, Douglas S. Lee, Bo Wang

“…Abstract Background Machine learning methods are increasingly being used to predict clinical outcomes. Optimism is the difference in model performance between derivation and validation samples. …”
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RESEARCH ON ACTIVE CONTROL OF VARIABLE MASS SEAT SUSPENSION USING PD CONTROL by AN CunSheng, CHEN XiaoLiang, WEI WeiZhen, LIU Kui

“…The proposed control system structure was based on several different controllers. The primary controller was used to evaluate the actual value of the main force that should be generated in the suspension system, and the secondary controller was used to calculate the instantaneous value of the signal that controled the active element through its reverse model. …”
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Nighttime light intensity and brightness suitability in urban functional zones by Ming Liu, Ruicong Li, Yiwei Li, Ezzaddeen Ali Mohammed Saeed AL-Mowallad, Chenglong Wu, Wenjing Wang

“…Abstract The identification and distribution of urban functional zones play a crucial role in optimizing urban planning and resource allocation. The differences in brightness of the nocturnal light environment further reveal the characteristics of urban functions. …”
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Economic management of microgrid using flexible non-linear load models based on price-based demand response strategies by Bishwajit Dey, Gulshan Sharma, P.N. Bokoro

“…This efficiency gain translates into a notable enhancement in the load factor, increasing from 0.83 to 0.86, and a significant drop in overall generation costs from $25,463 to $21,823 under optimal conditions. …”
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Comparative analysis of the effectiveness of BPG, AGU, AVIF and HEIF compression methods for medical images corrupted by noise of two types by Viktoriia Naumenko, Volodymyr Lukin, Vitalii Naumenko, Nadiia Kozhemiakina, Mykyta Solodovnyk

“…The tasks considered include: selecting 512x512 grayscale test images with various degrees of visual complexity, including visually complex images rich in edges and textures, moderately complex images with edges and textures adjacent to homogeneous areas, and visually simple images consisting mainly of homogeneous areas; establishing image quality assessment metrics and evaluating their effectiveness under different encoder compression parameters; selecting one or more metrics that clearly determine the position of the optimal operation point; providing recommendations based on the results obtained for compressing medical images corrupted by additive white Gaussian and Poisson noises using four encoders to maximize the quality of the restored image to the noise-free original. …”
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A Correlational Study on Architectural Design and Thermal Distribution Patterns Using a Novel Multi-Terminal Approach in Cylindrical Li-Ion Cell-Integrated Battery Packs by Sagar D, Raja Ramar, Shama Ravichandran

“…A novel architectural design is proposed to mitigate uneven thermal distribution, peak temperature, and heat spot generation, which are common issues that are observed in conventional battery packs. …”
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Perturbation based privacy preservation and classification using Jaya Algorithm and Dragonfly Inspired Algorithm by Dipanwita Sen, Bhupati Bhusan Mishra, Prasant Kumar Pattnaik

“…The classical classifiers used are Decision Tree, Random Forest, AdaBoost, KNN and GNB. The standard evaluation metrics are recorded thereafter. For privacy, the evaluation metrics used are Secrecy, Value Difference(VD), RP, RK, CP and CK. …”
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A Metaheuristic Framework for Cost-Effective Renewable Energy Planning: Integrating Green Bonds and Fiscal Incentives by Juan D. Saldarriaga-Loaiza, Johnatan M. Rodríguez-Serna, Jesús M. López-Lezama, Nicolás Muñoz-Galeano, Sergio D. Saldarriaga-Zuluaga

“…We apply a flexible investment model that helps to find the most cost-effective financing strategies for different renewable technologies. To do this, we use three optimization techniques to identify solutions that lower electricity generation costs: Teaching Learning, Harmony Search, and the Shuffled Frog Leaping Algorithm. …”
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Artificial intelligence models development for profitability factor prediction in concentrated solar power with dual backup systems by Zaher Mundher Yaseen, Omer A. Alawi

“…The three operating cases were evaluated using five different TES capacities (0–20 with 5 h step). …”
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