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  1. 3161

    FUZZY LOGIC CONTROLLER IMPLEMENTATION FOR PHOTOVOLTAIC STATION by Imad Zein, Yu. N. Petrenko

    Published 2014-12-01
    “…This is why the controllers of all solar power electronic converters employ some method for maximum power point tracking (MPPT ). Over the past years many MPPT techniques have been published and based on that the main paper’s objective is to analyze one of the most promising MPPT control algorithms: fuzzy logic controller.…”
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  2. 3162
  3. 3163

    Advanced Methods Used for the Position and Speed Control of the Electrical Drives with PMSM Motors by SPOIALA Viorica

    Published 2025-05-01
    “…The permanent magnet synchronous motor (PMSM) is currently used in advanced electric drive systems of industrial robots, machine tools, electric cars and many others. These complex systems require a precise control of the position and speed of the actuated mechanisms, which presumes the use of the advanced algorithms in this regard. …”
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  4. 3164

    Technologies, processes and tools between innovation and design quality by Andrea Tartaglia

    Published 2023-05-01
    “…The growing performance of IT tools for the project allows to delegate entire phases of the conceptual and decision-making process thanks to the diffusion of algorithmic models referable to the category of artificial intelligence capable of automating important segments, if not the entire process of project production. …”
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  5. 3165

    ARCHIMEDES: Active Reasoning Conducted with Heterogeneous Information Monitors for Evading Dangers and Extended Surveillance by Simon Schoenbeck, Ugur Kuter

    Published 2023-05-01
    “…We present our proposed algorithms, compare them to the most relevant related work via a walkthrough discussion, and describe experimental results from ARCHIMEDES in many mathematically abstract scenarios.…”
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  6. 3166

    A study of Mandelbrot and Julia Sets via Picard-Thakur iteration with s-convexity. by Bashir Nawaz, Krzysztof Gdawiec, Kifayat Ullah, Maggie Aphane

    Published 2025-01-01
    “…Nowadays, many researchers are employing various iterative techniques to analyse the dynamics of fractal patterns. …”
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  7. 3167

    Analytical Ballistic Trajectories with Approximately Linear Drag by Giliam J. P. de Carpentier

    Published 2014-01-01
    “…This paper introduces a practical analytical approximation of projectile trajectories in 2D and 3D roughly based on a linear drag model and explores a variety of different planning algorithms for these trajectories. Although the trajectories are only approximate, they still capture many of the characteristics of a real projectile in free fall under the influence of an invariant wind, gravitational pull, and terminal velocity, while the required math for these trajectories and planners is still simple enough to efficiently run on almost all modern hardware devices. …”
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  8. 3168

    A multi-label classification method for disposing incomplete labeled data and label relevance by Lina ZHANG, Lingpeng DAI, Tai KUANG

    Published 2016-08-01
    “…Multi-label classification methods have been applied in many real-world fields,in which the labels may have strong relevance and some of them even are incomplete or missing.However,existing multi-label classification algorithms are unable to handle both issues simultaneously.A new probabilistic model that can automatically learn and exploit multi-label relevance was proposed on label relevance and missing label classification simultaneously.By integrating out the missing information,it also provides a disciplined approach to handle missing labels.Experiments on a number of real world data sets with both complete and incomplete labels demonstrated that the proposed method can achieve higher classification and prediction evaluation scores than the existing multi-label classification algorithms.…”
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  9. 3169

    Weak and Strong Convergence Theorems for the Multiple-Set Split Equality Common Fixed-Point Problems of Demicontractive Mappings by Yaqin Wang, Tae-Hwa Kim, Xiaoli Fang

    Published 2017-01-01
    “…The results obtained in this paper generalize and improve the recent ones announced by many others.…”
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  10. 3170

    A Multiscale Convolution SAR Image Target Recognition Method Based on Complex-Valued Neural Networks by Guangyu Hou, Zhihui Xin, Guisheng Liao, Penghui Huang, Yuhao Huang, Rui Zou

    Published 2025-01-01
    “…Many deep learning algorithms rely solely on amplitude information, ignoring phase information, which may result in the loss of information in the original complex-valued SAR image and suboptimal performance. …”
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  11. 3171

    Hybrid Proximal-Point Methods for Zeros of Maximal Monotone Operators, Variational Inequalities and Mixed Equilibrium Problems by Kriengsak Wattanawitoon, Poom Kumam

    Published 2011-01-01
    “…Our results modify and improve the recently announced ones by Li and Song (2008) and many authors.…”
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  12. 3172

    ArcGIS FOR MAPPING VETERAN’S SETTLEMENTS IN THE PROVINCE OF UPPER MOESIA by Ana HONCU, Rada VARGA

    Published 2023-05-01
    “…How can this be done and toward what aims? By applying GIS algorithms to these datasets, we can make various maps and queries that allow us to discuss distribution and spatiality from many different angles. …”
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  13. 3173

    Lossy DICOM conversion may affect AI performance by Robin Sebastian Mayer, Fabian Fliedner, Ingvild Frøberg Mathisen, Anna Laib, Julia Bein, Marco Eichelberg, Peter J. Wild, Nadine Flinner

    Published 2025-07-01
    “…Abstract Many pathologies have started to digitize their glass slides. …”
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  14. 3174

    Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

    Published 2025-03-01
    “…It is common for these systems to be constructed using conventional machine learning algorithms. So many common signs of attacks are ignored. …”
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  15. 3175

    Statistics is not measurement: The inbuilt semantics of psychometric scales and language-based models obscures crucial epistemic differences by Jana Uher

    Published 2025-06-01
    “…This epistemic gap is often overlooked, however, because many psychologists mistake their methods' inbuilt semantics—thus, descriptions of their study phenomena (e.g., in rating scales, item variables, statistical models)—for the phenomena described. …”
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  16. 3176

    A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

    Published 2025-06-01
    “…The dataset was split into a 70%:15%:15% ratio for training, testing, and validation, respectively, and five machine learning algorithms were evaluated: AdaBoost, Support Vector Machine, Random Forest, Decision Tree, and Stochastic Gradient Descent. …”
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  17. 3177

    Artificial Intelligence in Wound Care: A Narrative Review of the Currently Available Mobile Apps for Automatic Ulcer Segmentation by Davide Griffa, Alessio Natale, Yuri Merli, Michela Starace, Nico Curti, Martina Mussi, Gastone Castellani, Davide Melandri, Bianca Maria Piraccini, Corrado Zengarini

    Published 2024-12-01
    “…<b>Results:</b> Ten mobile apps were identified, showing varying levels of segmentation accuracy and clinical validation. However, many apps did not publish sufficient information on the segmentation methods or algorithms used, and most lacked details on the databases employed for training their AI models. …”
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  18. 3178

    A Method to Assess Localized Impact of Better Floodplain Topography on Flood Risk Prediction by Guy J.-P. Schumann, Konstantinos M. Andreadis

    Published 2016-01-01
    “…Many studies have highlighted the need for a higher accuracy global digital elevation model (DEM), mainly in river floodplains and deltas and along coastlines. …”
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  19. 3179

    Machine Learning in Microwave Medical Imaging and Lesion Detection by Wenyi Shao

    Published 2025-04-01
    “…This paper reviews ML algorithms, data acquisition, training techniques, and applications that have emerged in recent years. …”
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  20. 3180

    Putting Continuous Metaheuristics to Work in Binary Search Spaces by Broderick Crawford, Ricardo Soto, Gino Astorga, José García, Carlos Castro, Fernando Paredes

    Published 2017-01-01
    “…These algorithms must be adapted to solve binary problems. …”
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