Showing 6,141 - 6,160 results of 7,873 for search 'comparative research algorithm', query time: 0.22s Refine Results
  1. 6141

    Development and evaluation of customized software to automatically align macula and optic disc centered scanning laser ophthalmoscope fundus images by M. Elena Martinez-Perez, Franziska G. Rauscher, Pingping Zhao, Tobias Elze

    Published 2025-04-01
    “…OCT manufacturer-delivered software does not provide automated image registration. Therefore researchers are forced to manually perform the alignment over different scanning regions. …”
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  2. 6142

    Open Source Evaluatology: An evaluation framework and methodology for open source ecosystems based on evaluatology by Fanyu Han, Shengyu Zhao, Wei Wang, Aoying Zhou, Weining Qian, Xuan Zhou, Jiaheng Peng, Lan You, Yang Chen, Xiaoya Xia, Yenan Tang, Liyun Yang, Chunqi Tian

    Published 2024-12-01
    “…However, current open-source evaluation methods face several issues, such as inconsistent evaluation standards, lack of theoretical support in the evaluation process, and poor comparability of evaluation results. Guided by the foundational theories of evaluatology, this paper proposes a new interdisciplinary research field, Open Source Evaluatology, and constructs an evaluation theoretical framework and methodology for open-source ecosystems. …”
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  3. 6143
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  5. 6145

    Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral images by Jiejie Fan, Jiejie Fan, Yang Liu, Yang Liu, Yiguang Fan, Yihan Yao, Riqiang Chen, Mingbo Bian, Yanpeng Ma, Huifang Wang, Haikuan Feng, Haikuan Feng, Haikuan Feng

    Published 2024-11-01
    “…While numerous studies have demonstrated that various texture features, such as the Gray-Level Co-occurrence Matrix (GLCM), can be used independently or in combination with crop canopy spectral data for LAI estimation, limited research exists on the application of Haralick textures for evaluating crop LAI across multiple growth stages. …”
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  6. 6146
  7. 6147

    Intracranial volume segmentation for neurodegenerative populations using multicentre FLAIR MRI by Justin DiGregorio, Giordano Arezza, Adam Gibicar, Alan R. Moody, Pascal N. Tyrrell, April Khademi

    Published 2021-03-01
    “…Our results confirm a FLAIR-based ICV analytical pipeline can alone be utilized for large-scale neurodegenerative disease research. The presented evaluation framework can be deployed by other researchers to assess the viability of tools proposed for automated analysis of diverse, clinical MRI datasets.…”
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  8. 6148
  9. 6149

    Increasing comprehensiveness and reducing workload in a systematic review of complex interventions using automated machine learning by Olalekan A Uthman, Rachel Court, Jodie Enderby, Lena Al-Khudairy, Chidozie Nduka, Hema Mistry, GJ Melendez-Torres, Sian Taylor-Phillips, Aileen Clarke

    Published 2022-11-01
    “…The aim was to develop a high-performing algorithm comparable to human screening. Methods We followed a three-phase process to develop and test an automated machine learning-based classifier for screening potential studies on interventions for primary prevention of cardiovascular disease. …”
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  10. 6150
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  12. 6152

    Cyberdelics: Virtual reality hallucinations modulate cognitive-affective processes by Giulia Brizzi, Chiara Pupillo, Clara Rastelli, Antonino Greco, Luca Bernardelli, Anna Flavia Di Natale, Silvia Francesca Maria Pizzoli, Elena Sajno, Fabio Frisone, Daniele Di Lernia, Giuseppe Riva

    Published 2025-12-01
    “…Introduction Psychedelics were explored for their potential in the mental health field. However, research was delayed by concerns over short-term side effects and long-term consequences of substance use. …”
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  13. 6153
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  15. 6155

    A quantitative evaluation method of laser treatment efficacy for pigmentary dermatosis based on image segmentation technology by Haopu Jian, Qi Chen, Youjun Yu, Cheng Wang, Peiru Wang, Xiuli Wang

    Published 2025-07-01
    “…The results indicate that the clearance rates obtained through this quantitative algorithm are comparable and exhibit smaller standard deviations compared with scale scores (4.59% versus 7.93% in the low-energy group, 4.01% versus 9.05% in the medium-energy group, and 4.29% versus 10.23% in the high-energy group). …”
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  16. 6156

    Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

    Published 2025-05-01
    “…Secondly, a generative design tool with a Dynamo evolutionary algorithm is utilized to optimize the tree distribution across the communal areas of these three spaces considering the current built environment. …”
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  17. 6157

    SpecTE: Parameter Estimation for LAMOST Low-resolution Stellar Spectra Based on Denoising Pretraining by Xirong Zhao, Xiangru Li, Hui Li, Xianqi Liu

    Published 2025-01-01
    “…The estimated stellar catalog, code, pretrained model, and experimental data are released online for astronomical exploration and algorithm research.…”
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  18. 6158

    Rock Fracture Monitoring Based on High-Precision Microseismic Event Location Using 3D Multiscale Waveform Inversion by Yi Wang, Xueyi Shang, Kang Peng, Rui Gao

    Published 2020-01-01
    “…The average location error of the eight premeasured blasting events by the proposed approach is only 17.6 m, which can provide a good data research basis for analyzing MS event location and rock mass fracture characteristics in a mine.…”
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  19. 6159

    A Novel Approach for Efficient Detection of Lotus Seedpod Maturity Using Compressed Models by Tao Tang, Min Jin, Gaohong Yu, Rui Feng, Bingliang Ye

    Published 2025-01-01
    “…To simplify the model and improve detection speed, a channel pruning algorithm was utilized for model compression. Finally, the compressed model was fine-tuned to restore accuracy. …”
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  20. 6160

    Machine learning enhanced formation pressure prediction using integrated well logging and mud logging by Jiwen Liang, Ming Luo, Wentuo Li, Bo Sun, Chuanliang Yan, Zhongying Han, Yuanfang Cheng

    Published 2025-07-01
    “…The IWM model significantly reduces the prediction error of formation pore pressure, achieving an average improvement of 8.32% enhancement in prediction accuracy compared to traditional data models. The research method effectively improves the accuracy of formation pressure prediction and provides support for efficient on-site development.…”
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