Showing 6,621 - 6,640 results of 7,873 for search 'comparative research algorithm', query time: 0.20s Refine Results
  1. 6621

    A machine learning-based approach for constructing a 3D apparent geological model using multi-resistivity data by Jordi Mahardika Puntu, Ping-Yu Chang, Haiyina Hasbia Amania, Ding-Jiun Lin, M. Syahdan Akbar Suryantara, Jui-Pin Tsai, Hwa-Lung Yu, Liang-Cheng Chang, Jun-Ru Zeng, Lingerew Nebere Kassie

    Published 2024-11-01
    “…To conclude, the findings of this study provide valuable insights for researchers to construct the 3D AGM from the resistivity data, applicable not only to the CRAF but also to other target areas.…”
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  2. 6622

    Experiments on Improving Temperature and Humidity Profile Retrieval for Ground-based Microwave Radiometer by Zhang Xuefen, Wang Zhicheng, Mao Jiajia, Wang Zhangwei, Zhang Dongming, Tao Fa

    Published 2020-07-01
    “…Ground-based microwave radiometer (MWR) has a crucial role in scientific researches, weather modification service and climate change studies. …”
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  3. 6623

    Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

    Published 2024-10-01
    “…Subsequently, the Bernaola-Galvan segmentation algorithm was proposed to divide the periods of drought change and the newly developed extreme-point symmetric mode decomposition to analyze the periodic drought patterns. …”
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  4. 6624

    Calculation Model of Multi-roll Straightening Process Based on Bilinear Hardening and Power Hardening by ZHU Xiaoyu, CHENG Zixing, WANG Xiaogang, HAN Peisheng

    Published 2025-05-01
    “…Using these relationships and curvature integration, a mathematical model for the multi-roll straightening process was developed. A least squares algorithm was employed to solve the nonlinear equations iteratively, enabling accurate straightening calculations. …”
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  5. 6625

    Optical Characterization of Coastal Waters with Atmospheric Correction Errors: Insights from SGLI and AERONET-OC by Hiroto Higa, Masataka Muto, Salem Ibrahim Salem, Hiroshi Kobayashi, Joji Ishizaka, Kazunori Ogata, Mitsuhiro Toratani, Kuniaki Takahashi, Fabrice Maupin, Stephane Victori

    Published 2024-09-01
    “…The focus is particularly on Tokyo Bay and the Ariake Sea, semi-enclosed water regions in Japan where previous research has pointed out the occurrence of negative <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>n</mi><msub><mrow><mi>L</mi></mrow><mrow><mi>w</mi></mrow></msub><mo>(</mo><mi>λ</mi><mo>)</mo></mrow></semantics></math></inline-formula> values due to atmospheric correction with SGLI. …”
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  6. 6626

    Automated Detection of High Frequency Oscillations in Intracranial EEG Using the Combination of Short-Time Energy and Convolutional Neural Networks by Dakun Lai, Xinyue Zhang, Kefei Ma, Zichu Chen, Wenjing Chen, Heng Zhang, Han Yuan, Lei Ding

    Published 2019-01-01
    “…The proposed methodology presents the following significant advantages: 1) compared with the recently reported HFOs detector based on the CNN using only the 1D temporal EEG signal, the proposed method achieves a higher accuracy using the deep CNN classifier on 2D time&#x2013;frequency map of HFOs, of which the evaluated sensitivity and false discovery rate (FDR) for identifying ripples are 88.16&#x0025; and 12.58&#x0025;, respectively, and the corresponding sensitivity and FDR are 93.37&#x0025; and 8.1&#x0025; for detecting fast ripples, respectively; 2) it is capable of automatically extracting the shared features of HFOs events of different patients and would be much robust, unlike other automated methodologies proposed in the literature where the characteristics of HFOs were extracted manually on the basis of researchers&#x2019; knowledge, which, probably, is prone to observer bias; and 3) with the proposed STE estimation, all suspicious ripples and fast ripples could be initially found out and transformed into time&#x2013;frequency map for subsequently CNN-based classification, rather than transforming and classifying the raw data, thus requiring a lower computational resource. …”
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  7. 6627
  8. 6628

    Temporal trends in the incidence of adverse effects of medical treatment in BRICS countries from 1990 to 2021: an age-period cohort analysis by Xingmin Wei, Xingmin Wei, Lu Jiang, Zhidong Zhang, Longjian Shang, Kun Liu, Xiaoang Qin, Gaoheng Ding, Lu Liu, Jianjun Wu

    Published 2025-06-01
    “…Additionally, net drift, localized drift, age-specific curves, and period/cohort relative risk were estimated through an age-period-cohort (APC) model implementing the intrinsic estimator (IE) algorithm.ResultsBetween 1990 and 2021, the incidence of AEMT decreased in both South Africa and China. …”
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  9. 6629
  10. 6630
  11. 6631

    Correction of TRMM 3B43 Monthly Precipitation Data Using Quantile Regression Model in the Urmia Lake Basin by Sima Kazempour Choursi, Mahdi Erfanian, Hirad Abghari, Mirhassan Miryaghoobzadeh, khadijeh Javan

    Published 2024-05-01
    “…The purpose of this research is not just to address the shortcomings of traditional rain gauge stations, but also to highlight the importance of tailored approaches for regions with unique hydro-climatic conditions. …”
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  12. 6632

    Routine testing for group B streptococcus in pregnancy: protocol for a UK cluster randomised trial (GBS3) by Shalini Ojha, Jon Dorling, Stavros Petrou, Soo Downe, Rabia Zill-E-Huma, Sarah Lee, Jane Daniels, Paul Ayuk, Trudy Smith, Lucy Bradshaw, Tracey Cooper, Janine Abramson, Hannah Mitchell, Joanna Gibson, Sarah Watson, Heather Ward, Kate Walker, Jim Thornton, Reuben Ogollah, Jason Madan, Jenny Butler, Louise Page, Guduru Gopal Rao, Susan Ayers, Felix Achana, Asma Khalil, Eleanor J Mitchell, Rachel Plachcinski, Laura Johnson, Anna Williams, Hannah Parker, Rebecca Haydock, Julie Walker, Jonathan Ford, Elena Greco, Janet Phipps, Kim Hinshaw, Hilary Owen, Alex Taylor, Jane Plumb, James Gray, Joanna Clark, Kate Young, Anna Campbell, Erum Khan, Manjula Samyraju, Harry Gibson, Linda Johnson, Jessica Wilson, Sarah Moore, David Ankers, Michelle Anderson, Laura Veal, Ramesh Ganapathy, Ferha Saeed, Philip Banfield, Shabina Sadiq, Helen Preston, Lisa Ditchfield, Anne-Marie Jones, Emily Marler, Phillip Bennett, Janet Cresswell, Stephy Mathen, Anam Fayadh, Louise Swaminathan, Emily Scriven, Sangeeta Pathak, Hazel Alexander, Jodi Carpenter, Sharon Gowans, Lesley Hewitt, Emma Meadows, Tommy Mousa, Lisa Evans, Laura Johns, Catherine Stone, Charlotte Goumalatsou, Maggie Lai, Lola Oshodi, Georgie Constantinou, Nicola Grace, Eleanor Harrison, Joanne Brooks, Kerry Barker-Williams, Heidi Hollands, Sarah-Kate Mcleavey, Seren Willson, Sophie Webster, Meg Hyslop-Peart, Louise Wills, Rachel Haines, Linda Fiaschi, Jay Seale, Susanne Spas, Lixiao Huang, Sebastian Moody, Ihab Abbasi, Rezan Abdul-Kadir, Phern Adams, Rebecca Adcock, Dipika Aggarwal, Dawn Althorn, Sarah-Jayne Ambler, Rita Arya, Karen Austin Smith, Angela Ayuk, Jade Barnes, Abbie Berry, Linda Bishop, Patrick Bose, Nichola Brannen, Catherine Bressington, Janet Brown, Lorraine Bullett, Anneka Burch, Jennifer Burrage, Viv Cannons, Philippa Cansell, Cristina CarballoDe Dios, Gail Castle, Yee Yin Chan, Floria Cheng, Naomi Coleman, Rachael Copley, Yvette Davis, Bashir Dawlaty, Kara Dent, Caroline Dixon, Kerry Dooley, Milli Edwards, Sue Fagg, Jo Ficquet, Nicola Flint, Natasha Ford, Lily French, Edward Frew, Rachel Frowd, Ruta Gada, Emma Gammin, Caitlin Giles, Mandy Gill, Coralie Glenn-Sansum, Julie Goddard, Jenna Gould, Naomi Grimes, Zoe Grindley, Katherina Gross-Gibbs, Liliana Grosu, Lara Robles Gutierrez, Bev Hammond, Latifah Harris, Kathryn Haviland, Holly Hawkesford, Carly Hayton, Miss Mandira Hazra, Anne Marie Henshaw, Jemima Hepburne-Scott, Stephanie Horridge, Victoria Hodgson, Rhiannon Hurll, Alison Hylton-Potts, Karen Ixer, Sara Jaarour, Andie Johnson, Prudence Jones, Kelly Jukes, Sumit Kar, Pallavi Karkhanis, Tracey Kay, Stephen Keay, Alex Keen, Joanne Kellett, Mary Kelly- Baxter, Teresa Kelly, Vanessa Kemp, Magdalena Kierzenkowska, Aly Kimber, Eva Kisakye, Sarah Knights, Wiece Koniman, Emmanouil Kountouris, Egi Krasniqi, Katie Lang, Rebecca Leon, Isabel Llopis, Leanne Lowe, Saswati Maitra, Jodie Manning, Sarah Mapplebeck, Cathryn Marsh, Ruth Mason, Ilenia Mazzoli, Joanna Mead, Michal Rosie Meroz, Hannah Mugford, Hannah Mullins, Eric Mutema, Bonilla Nayar, Jonathan Nelson, Rachel Newport, Shari Noraiee, Justine Nugent, Nzoputa Nwabueze, Chinwe Obiozo-Jumbo, Clare O’Brien-Hirst, Anne-Marie O’Brien, Tanwa Ogbara, Chloe O’Hara, Oyinlola Okungade, Chidera Onyeagor, Sam Parlapalli, Leia Parry, Nikky Passmore, Tara Pauley, Linda Peacock, Carol Percy, Ella Proctor, Emma Pugh, Madhavi Pureti, Eleanor Pyart, Vinita Raheja, Clair Rainford, Miss Jyothi Rajeswary, Lindsay Roughley, Ruth Ryder, Maiti Sachchidananda, Beena Saji, Jess Sellick, Ellie Didier Serre, Erikka Siddall, Jonathan Slack, Delphine Strub, Emma Tanton, Vasso Terzidou, Niki Thatcher, Catherine Townsend, Lydia Ufton, Lilian Ugwumadu, Ureh Umeh-John, Husswan Yasmin WanHussein, Annie Warrington, Sharon Westcar, Hayley Wheeler, Sonia White, Miss Frances Wood, Julie Woollaston, Janet Wright, Priti Wuppalapati, Cheryl Wyatt, Jemma Yorke

    Published 2025-06-01
    “…Introduction It is unclear whether routine testing of women for group B streptococcus (GBS) colonisation either in late pregnancy or during labour reduces early-onset neonatal sepsis, compared with a risk factor-based strategy.Methods and analysis Cluster randomised trial.Sites and participants 320 000 women from up to 80 hospital maternity units.Strategies Sites will be randomised 1:1 to a routine testing strategy or the risk factor-based strategy, using a web-based minimisation algorithm. …”
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  13. 6633
  14. 6634

    Prediction of Omicron Virus Using Combined Extended Convolutional and Recurrent Neural Networks Technique on CT-Scan Images by Anand Kumar Gupta, Asadi Srinivasulu, Kamal Kant Hiran, Goddindla Sreenivasulu, Sivaram Rajeyyagari, Madhusudhana Subramanyam

    Published 2022-01-01
    “…COVID-19 has sparked a global pandemic, with a variety of inflamed instances and deaths increasing on an everyday basis. Researchers are actively increasing and improving distinct mathematical and ML algorithms to forecast the infection. …”
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  15. 6635
  16. 6636
  17. 6637
  18. 6638

    Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

    Published 2024-11-01
    “…The proposed models display superior performance when these variants are compared to mainstream video transformers of comparable parameter sizes. …”
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  19. 6639
  20. 6640