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Titlebook: Viral Molecular Machines; Michael G. Rossmann,Venigalla B. Rao Book 2012 The Editor(s) (if applicable) and The Author(s), under exclusive

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楼主: Ingrown-Toenail
发表于 2025-3-28 15:14:51 | 显示全部楼层
Craig B. Wilen,John C. Tilton,Robert W. Doms to each other, which leads to the broadcast storm effect on the network. Therefore, this paper proposes a Fuzzy logic-based scheme to mitigate the broadcast storm effect. The novelty of this paper is the suggestion and application of a Fuzzy logic approach in order to mitigate critical data broadca
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s clustering methods as the core, the secondary classification of special users is realized. Finally, different time series forecasting models are used for the power load curve characteristics of different user categories. Our model has achieved the best results in multiple metrics (RMSE: 0.359, MSE
发表于 2025-3-29 02:51:25 | 显示全部楼层
Tom S. Y. Guu,Wenjie Zheng,Yizhi J. Taohat using datasets with balanced class distribution and sufficient instances would be the ideal condition to maximize the performance of classifiers; (3) Increasing the number of instances is more effective than using variables for improving the predictive performance of Random Forest. Furthermore,
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ext corpus. We show that these representations can be easily added to existing models and be combined with other word representation features. We evaluate our model on FactRuEval-2016 dataset for named entity recognition in Russian and achieve state of the art results.
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发表于 2025-3-29 18:18:50 | 显示全部楼层
Peter E. Prevelige,Bentley A. Faneiven by Burhan Türk en (Knowledge/Intelligence Systems Laboratory, University of Toronto) and Joerg Siekmann (German Research Center for Artificial Intelligence DFKI, Saarland University), providing us with new developments in the field. We are very grateful to the contributions of such pioneer scie
发表于 2025-3-29 23:29:28 | 显示全部楼层
Roger W. Hendrix,John E. Johnsonimary focus, and individual AI projects have been initiated under the Small Business Innovative Research Program. The fundamental and synergistic relationship between training and expert systems supports the use of AI in the training of nuclear personnel. In the long run, the most significant contri
发表于 2025-3-30 00:50:40 | 显示全部楼层
发表于 2025-3-30 07:25:26 | 显示全部楼层
Michael G. Rossmann,Venigalla B. RaoWritten by leaders in their respective fields.Uses the best examples from bacteriophages and animal viruses, many causing infectious diseases of public health importance.Conveys state of the art knowl
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