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    Incremental mining of periodic patterns of inadequately informed communication data based on fuzzy segmentation of time series by Miaomiao Li

    Published 2025-07-01
    “…The experimental results show that in terms of data dimensionality reduction, the time series of communication data with insufficient original high-dimensional information is downgraded to within 0.4 times of the original dimensionality, indicating that the proposed method successfully compresses the original high-dimensional data into a low-dimensional space, effectively reducing the computational complexity and improving the data processing speed. …”
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    Design and implementation of quantum hippo inspired convolutional neural networks using parametric quantum circuits for an efficient lung cancer classification by S. Radhika, G. Sharada

    Published 2025-06-01
    “…To overcome this problem, Quantum Hippo Optimized Convolution Neural Network (QHO-CNN) has been proposed to homogenize the quantum computations on classical computers which can effectively diagnose lung cancers with the high-speed computations. …”
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    Multitask deep learning for the emulation and calibration of an agent-based malaria transmission model. by Agastya Mondal, Rushil Anirudh, Prashanth Selvaraj

    Published 2025-07-01
    “…Taken together, this analysis shows the potential of machine learning-guided emulator design for complex scientific processes and their comparison to field data.…”
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    Enhancing Generative Class Incremental Learning Performance With a Model Forgetting Approach by Taro Togo, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama

    Published 2025-01-01
    “…GCIL is one of the hot topics in the field of computer vision, and it is considered one of the important tasks in society as one of the continual learning approaches for generative models. …”
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    Machine learning-assisted image analysis techniques for glaucoma detection by Vaibhav Yadav, Barnali Dey, Udayan Baruah, Saumya Das, Om Prakash

    Published 2025-05-01
    “…To address these issues, a combination of Artificial Intelligence, Image Processing, and computer vision-based models are being developed for easy and rapid glaucoma diagnosis. …”
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