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  1. 601

    An efficient interpretable framework for unsupervised low, very low and extreme birth weight detection. by Ali Nawaz, Amir Ahmad, Shehroz S Khan, Mohammad Mehedy Masud, Nadirah Ghenimi, Luai A Ahmed

    Published 2025-01-01
    “…Detecting low birth weight is crucial for early identification of at-risk pregnancies which are associated with significant neonatal and maternal morbidity and mortality risks. …”
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    Article
  2. 602
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    Secure Biometric Identification Using Orca Predators Algorithm With Deep Learning: Retinal Iris Image Analysis by Louai A. Maghrabi, Mohammed Altwijri, Sami Saeed Binyamin, Fouad Shoie Alallah, Diaa Hamed, Mahmoud Ragab

    Published 2024-01-01
    “…Moreover, the hyperparameter tuning process of the EfficientNet model takes place using OPA. Furthermore, the biometric identification process can be performed by the use of a convolutional autoencoder (CAE). …”
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    Article
  4. 604

    A fast identification method for multi-joint robot load based on improved Fourier neural network by Xia Yue, Jionghao Mo, Zhibin Li, Haiteng Li, Chunliang Zhang, Shangbin Long

    Published 2025-03-01
    “…Because of the obvious nonlinearity and the uncertainty of model parameters, the accuracy and efficiency of load identification are not enough. …”
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    Machine-Learning-Assisted Identification of Steam Channeling after Cyclic Steam Stimulation in Heavy-Oil Reservoirs by Yu Li, Huiqing Liu, Peng Jiao, Qing Wang, Dong Liu, Liangyu Ma, Zhipeng Wang, Hao Peng

    Published 2023-01-01
    “…In this work, a machine-learning-assisted identification model, based on a random-forest ensemble algorithm, is developed to predict the occurrence of steam channeling during steam huff-and-puff processes. …”
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    Article
  7. 607

    Microscopic pore combination type identification of tight sandstone reservoir based on improved swin transformer architecture by Zhenyu Pang, Zhicong Chen, Sijie Lu, Zhenbo Cai, Yuqing Lu, Mengting Peng

    Published 2025-12-01
    “…Consequently, it offers a robust and accurate solution for microporosity type identification, thereby providing reliable technical support for the efficient exploration and development of tight sandstone reservoirs.…”
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    Article
  8. 608

    Adaptive responses of Gordonia alkanivorans IEGM 1277 to the action of meloxicam and its efficient biodegradation by Semyon Tyan, Nadezhda Kostrikina, Vladimir Sorokin, Andrey Mulyukin, Irina Ivshina

    Published 2025-07-01
    “…However, the ability of Gordonia to fully degrade meloxicam has not been previously demonstrated.MethodsThe biodegradation of meloxicam was investigated using G. alkanivorans IEGM 1277 as a model organism. Metabolite identification was performed using liquid chromatography-mass spectrometry (LC-MS). …”
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  9. 609

    Design of an efficient multi-objective recognition approach for 8-ball billiards vision system by Jiaying Gao, Qiuyang He, Hong Gao, Zhixin Zhan, Zhe Wu

    Published 2018-01-01
    “… In this paper, some key technologies based on colour image processing for 8-ball billiards robot vision system are discussed and an efficient approach for multi-objective recognition is proposed. …”
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    Method of Radio-Emitting Target Identification from Passive Spatial Diversity Radio-Electronic Stations on the Basis of Student's <i>t</i>-Test by A. V. Kvasnov

    Published 2016-10-01
    “…As mathematical model it’s used Student's t-test to check statistical hypotheses about averages. …”
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  14. 614

    Integrating UAV-Based RGB Imagery with Semi-Supervised Learning for Tree Species Identification in Heterogeneous Forests by Bingru Hou, Chenfeng Lin, Mengyuan Chen, Mostafa M. Gouda, Yunpeng Zhao, Yuefeng Chen, Fei Liu, Xuping Feng

    Published 2025-07-01
    “…However, the spatiotemporal variability of forest environments and the scarcity of annotated data hinder the performance of conventional supervised deep-learning models. To overcome these challenges, this study has developed efficient tree (ET), a semi-supervised tree detector designed for forest scenes. …”
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  15. 615

    Digital Twin-Driven Virtual–Real Hybrid Framework Based on Parameter Identification for Bearing Thermal Prediction by Yu Wang, Qingbin Tong, Luqiang Yang, Junci Cao, Jiang Cao

    Published 2025-06-01
    “…To address the time-varying and ambiguous parameters, an efficient Nutcracker Optimization Algorithm (NOA)-based identification mechanism is introduced to dynamically calibrate the virtual thermal model, overcoming the limitations of static modeling and data isolation inherent in conventional thermal analysis methods. …”
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    Status and prospects of energy efficiency in the glass industry: Measuring, assessing and improving energy performance by Lorenzo Miserocchi, Alessandro Franco, Daniele Testi

    Published 2024-10-01
    “…The significant share of energy-related emissions in the glass industry necessitates robust energy efficiency strategies. This paper evaluates the status and prospects of energy efficiency by integrating the measurement, assessment, and improvement of energy performance through energy data and modelling. …”
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    Identification of pharmacophore synergism for optimization of estrogen receptor beta binders for hormone dependent forms of breast cancer by Rania A. Hussien, Fatmah Ali S. Alasmary, Vijay H. Masand, Abdul Samad, Rahul D. Jawarkar, Gaurav S. Masand, Sami A. Al-Hussain, Magdi E.A. Zaki

    Published 2025-06-01
    “…The drug discovery pipeline against breast cancer requires the identification and retention of crucial pharmacophoric features of inhibitors using a multitude of inhibitors comprising diverse scaffolds. …”
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    Article
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