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    Channel model-based multiple layers satellite-ground integrated data allocation strategy by SONG Yujie, CAO Yue, CHEN Nuo, SUN Zhili

    Published 2024-07-01
    “…To address the problem of inefficient satellite-ground link handover, unbalanced data allocation, and high probability of data transmission interruptions in space-air-ground integrated networks, a channel model-based multiple layers satellite-ground integrated data allocation strategy (CMDAS) was proposed for the satellite-ground integrated data transmission scenario with a multi-layer architecture. …”
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    Universal energy efficiency analysis models for integrated energy systems supporting multiple scenarios by LILI YAO, LIANGWU XU, ZENGXU ZHAO

    Published 2025-07-01
    “…However, current IEMS are often faced with challenges such as difficulty in universal energy calculation, low adaptability of complex system models, and limited flexibility for multiple scenarios. …”
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    Channel model-based multiple layers satellite-ground integrated data allocation strategy by SONG Yujie, CAO Yue, CHEN Nuo, SUN Zhili

    Published 2024-07-01
    “…To address the problem of inefficient satellite-ground link handover, unbalanced data allocation, and high probability of data transmission interruptions in space-air-ground integrated networks, a channel model-based multiple layers satellite-ground integrated data allocation strategy (CMDAS) was proposed for the satellite-ground integrated data transmission scenario with a multi-layer architecture. …”
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    An Equivalent Modeling Method for Electromagnetic Radiation of PWM Fans with Multiple Radiation Sources by Jinsheng Yang, Xuan Zhao, Jingxuan Xia, Wei Zhang, Pingan Du, Baolin Nie

    Published 2025-03-01
    “…First, a detailed field-circuit coupling model of the radiation from winding and driving circuits is established using the time-domain finite-integral method with non-uniform grids. …”
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    Integrating multiple precision livestock technologies to advance rangeland grazing management by Lillian J. McFadden, Hector M. Menendez, Krista Ann Ehlert, Jameson R. Brennan, Ira L. Parsons, Ken Olson

    Published 2025-08-01
    “…Therefore, our objectives were to: (1) measure CH4, CO2, and O2 emissions, DMI, and the weight of dry beef cows; (2) create a data pipeline to integrate three PLT data streams in Program R; and (3) use these data to develop a mathematical model capable of predicting grazing DMI. …”
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    An integrated model of multiple-condition ChIP-Seq data reveals predeterminants of Cdx2 binding. by Shaun Mahony, Matthew D Edwards, Esteban O Mazzoni, Richard I Sherwood, Akshay Kakumanu, Carolyn A Morrison, Hynek Wichterle, David K Gifford

    Published 2014-03-01
    “…To reliably characterize such condition-specific regulatory binding we introduce MultiGPS, an integrated machine learning approach for the analysis of multiple related ChIP-seq experiments. …”
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    Simplified EMT Model of Multiple-Active-Bridge Based Power Electronic Transformer with Integrated Energy Storage by Jianzhong Xu, Conghui Zheng, Wanying Xu, Moke Feng, Chengyong Zhao, Gen Li

    Published 2025-01-01
    “…Due to the advanced features of multidirectional power transfer and fast smoothing of the power fluctuation in renewable energy systems, the multiple-active-bridge based power-electronic-transformer (MAB-PET) with integrated energy storage units is becoming popular. …”
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    Integration of Multiple Models with Hybrid Artificial Neural Network-Genetic Algorithm for Soil Cation-Exchange Capacity Prediction by Mahmood Shahabi, Mohammad Ali Ghorbani, Sujay Raghavendra Naganna, Sungwon Kim, Sinan Jasim Hadi, Samed Inyurt, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen

    Published 2022-01-01
    “…Estimating soil CEC aids in conventional soil management practices to replenish the soil solution that supports plant growth. In this study, a multiple model integration scheme supervised with a hybrid genetic algorithm-neural network (MM-GANN) was developed and employed to predict the accuracy of soil CEC in Tabriz plain, an arid region of Iran. …”
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    Integrating multiple environmental variables to identify potential urban heat island risk areas based on the maxent model by Bin Li, Changxiu Cheng

    Published 2025-03-01
    “…Therefore, this study proposes a framework based on maximum entropy (MaxEnt) modeling that integrates multiple environmental variables to identify potential UHIR areas. …”
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    Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm by Yubo Zhao, Mo Chen

    Published 2025-12-01
    “…In this model, the DO series is first decomposed into multiple sub-series via VMD, and each sub-series is individually trained and predicted using the FECAM-WTConv-Transformer structure; the final output is obtained by aggregating the predictions. …”
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