Wind energy forecasting is crucial for effective implementation due to weather instability and unpredictability. Seamless incorporation into contemporary electricity systems. Various methodologies and strategies have ...
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Breast cancer is the most frequent cause of death in women, being the second leading cause of cancer deaths worldwide. Early detection is a good remedy hence we have devised a computer Aided Detection (CAD) method to ...
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Aiming at the disadvantages of the traditional Retinex algorithm, such as poor adaptive ability and easy to produce halos when processing images with uneven illumination, an improved homomorphic filter and multi-scale...
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This study focused on the risk of hematoma expansion in patients with hemorrhagic stroke and explored in depth the pattern of development of perihematoma edema and the effect of different treatments on it. By comprehe...
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The COVID-19 pandemic has accelerated the digital transformation of higher education institutions, aiming to enhance the efficiency of teaching and operational management. However, this rapid transition has also revea...
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The automatic segmentation of abdominal organs in CT images is a critical task in medical image processing, aiding in improved diagnosis, treatment planning, and disease monitoring. However, due to blurred organ bound...
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In order to accommodate the ancillary development of compilers and other toolchains in the multi-core digital signal processors (DSP), simulator debugging systems are indispensable. This paper proposes a multi-core si...
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When dealing with complex statements containing multiple aspects in the existing model, most of them ignore the dependencies between context and aspect words, this makes it difficult for the model to learn local infor...
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The paper proposes an enhanced Harris Hawk optimization model tailored for energy prediction in smart buildings and renewable energy systems. Leveraging advanced optimization techniques, the proposed model aims to acc...
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Accurate prediction of the estimated time of arrival (ETA) for buses is crucial for shuttle companies aiming to enhance profitability and minimize costs. This paper proposes leveraging historical bus route data to pre...
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