Showing 521 - 540 results of 3,083 for search 'life algorithm', query time: 0.12s Refine Results
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    Optimized Control of Hybrid Energy Storage Systems Using Whale Optimization Algorithm for Enhanced Battery Longevity and Stability in Microgrids by Nouman Alam Siddiqui, Hira Tahir, Muhammad Akram, Habib Ullah Manzoor

    Published 2025-05-01
    “…The proposed approach achieves the lowest BESS life loss and voltage fluctuations in both test load and microgrid load cases. …”
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  5. 525

    Wireless Sensor Network Cluster Head Selection and Short Routing Using Energy Efficient ElectroStatic Discharge Algorithm by G. C. Jagan, P. Jesu Jayarin

    Published 2022-01-01
    “…The proposed electrostatic discharge algorithm (ESDA) enhances network life time while attaining energy efficient full connectivity between sensor nodes. …”
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    ON SUPER (3n+5,2)- EDGE ANTIMAGIC TOTAL LABELING AND IT’S APPLICATION TO CONSTRUCT HILL CHIPER ALGORITHM by Rafiantika Megahnia Prihandini, Robiatul Adawiyah

    Published 2023-04-01
    “…Graph labeling can be implemented in solving problems for various fields of life.  One of the application of graph labelling is in security system. …”
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  10. 530

    Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

    Published 2024-11-01
    “…Abstract Ensuring the long-term safe usage of lithium-ion batteries hinges on accurately estimating the State of Health $$(\textrm{SOH})$$ and predicting the Remaining Useful Life (RUL). This study proposes a novel prediction method based on a AT-CNN-BiLSTM architecture. …”
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  11. 531

    Dead Sea Stromatolite Reefs: Testing Ground for Remote Sensing Automated Detection of Life Forms and Their Traces in Harsh Environments by Nuphar Gedulter, Amotz Agnon, Noam Levin

    Published 2025-05-01
    “…Stromatolites are studied to better understand the appearance of life on Earth and potentially on other planets. Hyperspectral methodologies have been shown to be useful for detecting structures in stromatolites. …”
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  12. 532

    Increasing the service life of structural elements of aviation equipment using strengthening technologies based on pulsating subsonic gas flows by D. A. Ivanov, T. V. Petrova

    Published 2022-05-01
    “…The results of the research aimed at optimizing the maintenance and repair of aircraft through the use of gas-pulse processing of their structural elements, as well as algorithms for processing cracks in the aircraft structural element in order to prevent its further spread, restoring the mechanical properties of the aircraft structural element that decreased as a result of the impact of non-stationary air flows during operation and processing areas with increased location density in order to prevent the formation of cracks. …”
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  13. 533

    Comparison of Support Vector Machine and Decision Tree Algorithm Performance with Undersampling Approach in Predicting Heart Disease Based on Lifestyle by Gusti Ayu Putu Febriyanti, Anna Baita

    Published 2025-03-01
    “…Early diagnosis is essential to reduce mortality and improve patients' quality of life. This study evaluates the performance of two machine learning algorithms, namely Support Vector Machine (SVM) and Decision Tree (DT), in predicting heart disease risk by applying undersampling techniques to handle data imbalance. …”
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  14. 534

    Advanced multi-objective trajectory planning for robotic arms using a multi-strategy enhanced NSGA-II algorithm. by Yanqin Fan, Yinan Peng, Jianlin Liu

    Published 2025-01-01
    “…Facing the problems of large-scale rapid and disorderly loading, the robotic arm has the problems of large start-stop impact, easy to shake, and reduced production efficiency and service life, this paper proposes a robotic arm motion planning method based on the improved multi-objective algorithm called LNSGA-II. …”
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  15. 535

    Regulating addictive algorithms and designs: protecting older adults from digital exploitation beyond a youth-centric approach by Yu Yao

    Published 2025-07-01
    “…As digital technologies evolve, addictive algorithms and designs (aADs) have become a significant public health concern, particularly for older adults, a demographic often overlooked in digital addiction (DA) discourse. …”
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    Pre-Service Science Teachers’ Skills to Express The Algorithms Used in Solving Physics Problems with Flowcharts (An Example From Turkey) by H. S. Kurt, Z. Doğan

    Published 2020-01-01
    “…Problem-solving is a process that individuals use, not only in physics classes but also in every stage of life. An algorithm is a pathway to solving a problem or achieving a specific purpose. …”
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  18. 538

    Fault Classification in Power Transformers via Dissolved Gas Analysis and Machine Learning Algorithms: A Systematic Literature Review by Vuyani M. N. Dladla, Bonginkosi A. Thango

    Published 2025-02-01
    “…The survey results show that the majority of the research conducted for transformer fault classification using DGA employs the support vector machine (32%), artificial neural network (17%), and k-Nearest Neighbor (12%) algorithms. The survey also reveals the countries at the forefront of transformer fault diagnosis and a classification based on DGA using machine learning algorithms. …”
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    Hybrid RSA-ROA Scheduling Algorithm for Minimization of Power Loss and Improving the Renewable with Sustainable Energy Harvesting in Power System by Cuddapah Anitha, Virendra Swaroop Sangtani, Ajay Kumar Bansal, Mahaveerakannan R., R. Rajesh Sharma, Saravanan M. S.

    Published 2022-01-01
    “…Near global optimal solutions are sought using a hybrid algorithm combining Reptile Search Algorithm and Remora Optimization Algorithm (RSA-ROA). …”
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    A novel hybrid approach for thyroid disease detection: Integrating cuttlefish algorithm and simulated annealing for optimal feature selection by Kapil Shrivastava, Saroj Pandey, Rishav Dubey, Mayank Namdev, Vipin Tiwari, Aditi Sharma

    Published 2025-12-01
    “…The proposed hybrid algorithm method finds the best features for finding thyroid disease uses performance measures such as accuracy, F1-score, precision, and recall. …”
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