Category: 7. Maths

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  • Towards reproducible robotics research | Nature Machine Intelligence

    Towards reproducible robotics research | Nature Machine Intelligence

    Given the complexity of robotic systems, reproducibility might be seen as less feasible in robotics than in other fields of research. However, reproducibility in robotics is necessary and possible. The community started to consider…

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  • A modified vision transformer framework for image-based land cover segmentation in rural architectural design and planning

    A modified vision transformer framework for image-based land cover segmentation in rural architectural design and planning

    The proposed architecture based on ViT-SE and MFA is validated on a standard benchmark dataset of EuroSAT, whose classification is consistent with real-world rural geography. In this regard the proposed framework is helpful for RADP. The proposed…

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  • Tri-visualization feature extraction for light field angular super-resolution

    Tri-visualization feature extraction for light field angular super-resolution

    This section presents a comprehensive evaluation of the proposed model against existing state-of-the-art (SOTA) methods, highlighting its strengths and effectiveness in LFASR. We also conduct ablation studies to assess the impact of specific…

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  • A novel kangaroo escape optimizer for parameter estimation of solar photovoltaic cells/modules via one, two and three-diode equivalent circuit modeling

    A novel kangaroo escape optimizer for parameter estimation of solar photovoltaic cells/modules via one, two and three-diode equivalent circuit modeling

    This section is organized into two main parts. The first part focuses on benchmarking the performance of the proposed KEO against several recent metaheuristic algorithms, as well as the well-established DE and PSO algorithms. The assessment is…

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  • Lightweight deep learning model for crime pattern recognition based on transformer with simulated annealing sparsity and CNN

    Lightweight deep learning model for crime pattern recognition based on transformer with simulated annealing sparsity and CNN

    Dataset description

    The crime data in Los Angeles was used in this study, comprising 185,716 samples. The dataset was randomly divided into training, testing, and validation sets in a ratio of 7:1.5:1.5. The original dataset contains 12…

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  • Risks of AI scientists: prioritizing safeguarding over autonomy

    Risks of AI scientists: prioritizing safeguarding over autonomy

    Problem scope

    We define AI scientists as autonomous systems with scientific domain capabilities, such as accessing specific biological databases and performing chemical experiments—ranging from in silico computational analyses to physical…

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  • Trade-off between diversity and provision of specialized healthcare in US cities

    Trade-off between diversity and provision of specialized healthcare in US cities

  • Fullman, N. et al. Measuring performance on the Healthcare Access and Quality Index for 195 countries and territories and selected subnational locations: a systematic analysis from the Global Burden of Disease Study 2016. Lancet 391, 2236–2271…

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  • Utilizing unified progressive hybrid censored data in parametric inference under accelerated life tests

    Utilizing unified progressive hybrid censored data in parametric inference under accelerated life tests

    Scientific and technological advancements have resulted in the development of intricate and highly durable products, including lamp LEDs, computers, and silicone seals. Product quality is contingent upon reliability; consequently, manufacturers…

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  • People are more likely to cheat when they delegate tasks to AI

    People are more likely to cheat when they delegate tasks to AI

    • NEWS AND VIEWS

    Artificial intelligence is moving from being a mere…

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