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    Implementasi Algoritme Evolusioner NSGA-II pada Optimasi Daya Wireless Power Transfer Multi-Penerlima by Sabriansyah Rizqika Akbar, Eko Setiawan, Agung Setiabudi

    Published 2022-12-01
    “…Abstract Wireless Power Transfer (WPT) can transmit electrical energy without wires. Research on WPT technology is mainly conducted to achieve maximum power absorbed at the load on the receiving side. …”
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  8. 708

    Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

    Published 2024-12-01
    “…More emphasis is laid on finite control set model predictive control (FCS‐MPC) methods, especially predictive torque control (PTC) and predictive current control (PCC) because of their emergence as the prime focus of ongoing research in energy efficient drive control. The main focus of this review is to analyse the most recent work, signpost the future research directions, identify the core challenges and consolidate the ideas into a coherent and concise reference. …”
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  9. 709

    A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen, Jialong Li

    Published 2025-04-01
    “…These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. …”
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  10. 710

    Ensemble-based multiclass lung cancer classification using hybrid CNN-SVD feature extraction and selection method. by Md Sabbir Hossain, Niloy Basak, Md Aslam Mollah, Md Nahiduzzaman, Mominul Ahsan, Julfikar Haider

    Published 2025-01-01
    “…Lung cancer (LC) is a leading cause of cancer-related fatalities worldwide, underscoring the urgency of early detection for improved patient outcomes. The main objective of this research is to harness the noble strategies of artificial intelligence for identifying and classifying lung cancers more precisely from CT scan images at the early stage. …”
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    Online learning: Attitudes of Russian students by D. V. Rudenkin

    Published 2022-05-01
    “…At the same time, it remains difficult to say, whether this process meets the real needs of students or not.The aim of the article is to identify and describe the main sentiments that arise in the environment of Russian students in connection with the growing role of the Internet in the learning process.Methodology and research methods. …”
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    HGAPSO-Based Third Order-SMC, ST-SMC, and SMC Strategy for AAV Control: A Comparative Analysis by Dawit Kefale Wassie, Lebsework Negash Lemma, Abrham Tadesse Kassie

    Published 2025-01-01
    “…The effectiveness of GA, PSO, and HGAPSO are investigated with TO-SMC in terms of trajectory tracking and robustness. The control algorithms are focused on the position, altitude, and attitude states manipulated by four control inputs. …”
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    The Impact of Assimilating Ionosphere and Thermosphere Observations on Neutral Temperature Improvement: Observing System Simulation Experiments Using EnKF by Jianhui He, Xinan Yue, Zhipeng Ren

    Published 2021-10-01
    “…Such observations are ingested into the coupled ionosphere and thermosphere model based on our developed ensemble Kalman Filter data assimilation systems on the basis of the ensemble Kalman filter algorithm and the National Center for Atmospheric Research Thermosphere Ionosphere Electrodynamics General Circulation Model. …”
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    Development of Political Statistics: Conceptual Foundations for the Formation of a System of Indexes by L. Yu. Arkhangelskaya, V. N. Salin

    Published 2025-03-01
    “…The conceptual basis for structuring sections of the PS, identifying a specific subject, method and research objectives, defining a system of indexes within each section of the PS and the relationships between these modules are presented in the form of an information and logical diagram of subsystems of indexes with the definition of algorithms for their calculation and data sources for their construction.   …”
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    Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables by Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres

    Published 2021-01-01
    “…For the past decade, researchers have explored the application of deep learning (DL) regression algorithms to predict the system’s health state behavior based on sensor readings from the monitoring system. …”
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