Showing 7,141 - 7,160 results of 7,801 for search 'current algorithm', query time: 0.18s Refine Results
  1. 7141

    Self-Stabilization of Grid-Connected Inverters by Means of an Impedance-Based Adaptive Controller by Joel Filipe Guerreiro, Tiago Davi Curi Busarello, Hildo Guillardi, Igor Alves Maronni, Jose De A. Olimpio Filho, Helmo K. Morales Paredes, Jose A. Pomilio

    Published 2025-01-01
    “…The method relies on regulating the voltage feedforward gain by disturbing and adapting the system based on the distortion of the output current. The technique enables the self-stabilization of the inverter even when an instability is already triggered and without the need for impedance measurements or processor-intensive algorithms. …”
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  2. 7142

    Advancement of artificial intelligence based treatment strategy in type 2 diabetes: A critical update by Aniruddha Sen, Palani Selvam Mohanraj, Vijaya Laxmi, Sumel Ashique, Rajalakshimi Vasudevan, Afaf Aldahish, Anupriya Velu, Arani Das, Iman Ehsan, Anas Islam, Sabina Yasmin, Mohammad Yousuf Ansari

    Published 2025-06-01
    “…This review first provides an in-depth analysis of the current state of therapy, from novel pharmacotherapy to lifestyle interventions and new treatment methods. …”
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  3. 7143
  4. 7144

    Moth walls: shedding light on moth biodiversity by Joseph J. Bowden, Avalon Owens, Kayla Brown, Robert W. Harding, Marianne Graversen, Maxim Larrivée, Kent McFarland, Tyler A. Miller, Jamie Warren, Jodi O. Young

    Published 2025-01-01
    “…Yet in this age of rapid climate change and declining biodiversity, the current distribution of most moth species remains largely undocumented. …”
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  5. 7145

    Multi-photon neuron embedded bionic skin for high-precision complex texture and object reconstruction perception research by Hongyu Zhou, Chao Zhang, Hengchang Nong, Junjie Weng, Dongying Wang, Yang Yu, Jianfa Zhang, Chaofan Zhang, Jinran Yu, Zhaojian Zhang, Huan Chen, Zhenrong Zhang, Junbo Yang

    Published 2025-02-01
    “…We demonstrate that combining the signals collected by the OMAS with appropriate artificial intelligence algorithms enables the recognition of objects with different hardnesses and shapes with 100% accuracy. …”
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  6. 7146

    Machine-Learning-Based Classification of Electronic Devices Using an IoT Smart Meter by Paulo Eugênio da Costa Filho, Leonardo Augusto de Aquino Marques, Israel da S. Felix de Lima, Ewerton Leandro de Sousa, Márcio Eduardo Kreutz, Augusto V. Neto, Eduardo Nogueira Cunha, Dario Vieira

    Published 2025-05-01
    “…This study investigates the implementation of artificial intelligence (AI) algorithms on resource-constrained edge devices, such as ESP32 and Raspberry Pi, within the context of smart grid (SG) applications. …”
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  7. 7147

    The role of fMRI in the mind decoding process in adults: a systematic review by Sahal Alotaibi, Maher Mohammed Alotaibi, Faisal Saleh Alghamdi, Mishaal Abdullah Alshehri, Khaled Majed Bamusa, Ziyad Faiz Almalki, Sultan Alamri, Ahmad Joman Alghamdi, Mohammed Alhazmi, Hamid Osman, Mayeen U. Khandaker

    Published 2025-01-01
    “…It offers valuable insights into the current state of mind-reading research in adults and paves the way for future exploration in this field.…”
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  8. 7148

    The 2024 revised clinical guidelines on the management of thyroid tumors by the Japan Association of Endocrine Surgery by Iwao Sugitani, Naomi Kiyota, Yasuhiro Ito, Naoyoshi Onoda, Tomo Hiromasa, Kiyomi Horiuchi, Seigo Kinuya, Tetsuo Kondo, Sueyoshi Moritani, Kiminori Sugino, Hisato Hara

    Published 2025-05-01
    “…Based on these, we illustrated overall flows of care as “Clinical algorithms”. Necessary background knowledge of diseases and established clinical procedures for understanding the recommendations are presented in “Notes”, while information that may be clinically useful but for which evidence remains insufficient is included in “Columns”, based on the current state of evidence. …”
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  9. 7149

    Fast, Accurate, and Low-Disturbance Automatic Bias Control for Coherent Optical Transmitter Using Dither Vector Mapping Monitoring by Hongyu Li, Xinghan Li, Mengfan Cheng, Qi Yang, Ming Tang, Deming Liu, Lei Deng

    Published 2025-01-01
    “…By this means, the proposed scheme demonstrates reduced algorithmic complexity and a faster convergence rate, requiring only 0.3∼0.5 s to track and lock from a random bias point to a linear bias point, about 30 times faster than current commercial products. …”
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  10. 7150

    Data Assimilation of Satellite-Derived Arctic Sea-Ice Thickness During Boreal Summer by Jeong-Gil Lee, Daehyun Kang, Joo-Hong Kim, Jong-Min Kim, Sang-Moo Lee, Yoo-Geun Ham

    Published 2025-01-01
    “…Reliable estimation and initialization of Arctic sea-ice thickness (SIT) through data assimilation (DA) during the summer melt season were previously hampered by the lack of available observations owing to limitations in satellite retrieval algorithms. Recently, successful satellite-derived Arctic SIT measurements from CryoSat-2 (CS2) and advanced microwave scanning radiometer 2 (AMSR2) during the boreal summer have been achieved using advanced retrieval algorithms. …”
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  11. 7151
  12. 7152

    SDN-Based VANET Routing: A Comprehensive Survey on Architectures, Protocols, Analysis, and Future Challenges by Nehad Hameed Hussein, Johnny Siaw Paw Koh, Chong Tak Yaw, Sieh Kiong Tiong, Foo Benedict, Talal Yusaf, Kumaran Kadirgama, Tan Chung Hong

    Published 2025-01-01
    “…The primary objective of this study is to furnish comprehensive information regarding the current SDN-based VANET routing protocols, encompassing intricate details of their underlying mechanisms, forwarding algorithms, and architectural considerations. …”
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  13. 7153

    Adverse drug events (ADEs) risk signal mining related to eculizumab based on the FARES database by Xi-Feng Wang, Lu-Ri Bao, Ta-La Hu, Rui-Feng Xu, Wu-Niri Gao, Jing-Yuan Wang, Jian-Rong Zhao, Zhen-Li Fu, Shu-Fang Wang, Yan Meng

    Published 2025-01-01
    “…IntroductionEculizumab is a C5 complement inhibitor approved by the FDA for the targeted treatment of four rare diseases, paroxysmal nocturnal hemoglobinuria (PNH), atypical hemolytic uremic syndrome (aHUS), generalized myasthenia gravis (gMG), and aquaporin-4 immunoglobulin G-positive optic neuromyelitis optica spectrum disorders (AQP4-IgG+NMOSD). The current study was conducted to assess real-world adverse events (AEs) associated with eculizumab through data mining of the FDA Adverse Event Reporting System (FAERS).MethodsDisproportionality analyses, including Reporting Ratio Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-Item Gamma Poisson Shrinker (MGPS) algorithms were used to quantify the signals of eculizumab-associated AEs.ResultsA total of 46,316 eculizumab-related ADEs reports were identified by analyzing 19,418,776 reports in the U.S. …”
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  14. 7154

    Pharmacologic Disruption: How Emerging Weight Loss Therapies Are Challenging Bariatric Surgery Guidelines by Safi G. Alqatari, Abrar J. Alwaheed, Manal A. Hasan, Reem J. Al Argan, Marj M. Alabdullah, Mohammed D. Al Shubbar

    Published 2025-07-01
    “…As the field advances, a paradigm shift toward individualized, minimally invasive interventions appears inevitable—necessitating a timely re-evaluation of current bariatric surgery guidelines to reflect the expanding potential of medical therapy.…”
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  15. 7155

    Leveraging dendritic complexity for neuromorphic computing by Suma G Cardwell, Mark Plagge, Luke Parker, Claire E Plunkett, David Munkvold, Paloma T Gonzalez-Bellido, Scott Koziol, Conrad James, Frances S Chance

    Published 2025-01-01
    “…Beyond-von Neumann computing approaches are necessary to sustain the growth of microelectronics and the increasing appetite for artificial intelligence/machine learning algorithms. Neuromorphic computing is an emerging paradigm that takes inspiration from the brain to provide a path forward to improve the computational efficiency and computational density of next-generation computing architectures. …”
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  16. 7156

    Quantum Technologies for Beyond 5G and 6G Networks: Applications, Opportunities, and Challenges by Engin Zeydan, Chamitha De Alwis, Rabia Khan, Yekta Turk, Abdullah Aydeger, Thippa Reddy Gadekallu, Madhusanka Liyanage

    Published 2025-01-01
    “…Finally, we summarize the lessons learned from current research and outline future research directions to guide the ongoing development of quantum-enabled 6G networks.…”
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  17. 7157

    A Systematic Survey of AI Models in Financial Market Forecasting for Profitability Analysis by Bilal Hassan Ahmed Khattak, Imran Shafi, Abdul Saboor Khan, Emmanuel Soriano Flores, Roberto Garcia Lara, Md. Abdus Samad, Imran Ashraf

    Published 2023-01-01
    “…Moreover, hybrid models employing AI algorithms for feature engineering have great potential at par with ensemble techniques. …”
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  18. 7158

    Climate change and tree cover loss affect the habitat suitability of Cedrela angustifolia: evaluating climate vulnerability and conservation in Andean montane forests by Fressia N. Ames-Martínez, Ivan Capcha Romero, Anthony Guerra, Janet Gaby Inga Guillen, Harold Rusbelth Quispe-Melgar, Esteban Galeano, Ernesto C. Rodríguez-Ramírez

    Published 2025-02-01
    “…Methods Using ecological niche modeling with two algorithms (maximum entropy (MaxEnt) and Random Forest) under the ecological niche conservatism approach, we generated 16,920 models with different combinations of variables and parameters. …”
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  19. 7159

    Multimodal approaches and AI-driven innovations in dementia diagnosis: a systematic review by Revati M. Wahul, Sarita Ambadekar, Deepesh M. Dhanvijay, Mrinai M. Dhanvijay, Manisha A. Dudhedia, Varsha Gaikwad, Bhavana Kanawade, J. R. Pansare, Balaji Bodkhe, S. H. Gawande

    Published 2025-06-01
    “…This survey will compare the study’s algorithms or frameworks on sensitivity, specificity, interpretability, computational efficiency, and clinical transnationality concerning early detection and monitoring progression. …”
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  20. 7160

    Validating laboratory predictions of soil rewetting respiration pulses using field data by X. Li, X. Li, M. Pallandt, M. Pallandt, D. Naidu, D. Naidu, J. Rousk, G. Hugelius, G. Hugelius, S. Manzoni, S. Manzoni

    Published 2025-06-01
    “…We concluded that laboratory insights could be partly validated with current datasets. Caution should be taken when extending laboratory insights for predicting fluxes in ecosystems.…”
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