Results 51 to 60 of about 16,430 (195)
Guangtongxin yanjiu, 2019 电力骨干通信网中告警信息的及时高效处理能够为故障处置提供先机。利用人工智能技术,基于历史数据可以预测告警的发生,完备的数据集是成功实现预测的基本条件。在现实网络中采集的数据往往有分布不均匀、数据缺失等问题,如何构建完备的数据集是基于人工智能技术实现电力骨干通信网中告警预测的一个关键问题。文章提出了一种针对电力骨干通信网中告警预测的数据预处理方法,采用数据增强技术完成了数据的类均衡,使得最终的数据集符合模型输入的数据尺寸。仿真结果表明 ...
刘军 +4 more
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Athlete Detection Algorithm Based on Multi-scale Linear Global Attention [PDF]
The rapid movement and frequent occlusion of athletes during a competition make it difficult to detect athletes in a video, along with causing multiple detections, a decline in the detection accuracy, and other problems.
Zhiwei LIN, Zuyuan YANG, Siqiu WANG, Chao YANG
core +1 more source
Conservation Biology, EarlyView.Abstract Recognition and engagement of Indigenous Peoples and local communities (IP&LCs) and other traditional knowledge (TK) holders in formal biodiversity governance remain limited, despite their significant contribution to the conservation and sustainable use of biodiversity through their knowledge, innovations, practices, and land stewardship.
Kinga Öllerer +8 more
wiley +1 more source
Conservation Biology, EarlyView.Abstract Human development is a driver of global change and a major threat to biodiversity. Protected areas maintain and support biodiversity, but outside stressors, such as climate change and land use change, can negatively influence natural resources within protected areas.
Leah J. Rudge +2 more
wiley +1 more source
Guangtongxin yanjiu, 2011 文章主要针对光传输网管系统中网元数量急剧增长导致的网管数据库更新查询效率极低,甚至出现系统崩溃的问题,提出了一种高效的分布式数据库系统架构。该系统采用主从技术、Memcached技术与分布式数据库结合的方式,将数据分散地存储在多台独立的设备上,提高了数据的查询效率。系统容量大、可靠性高、扩展能力强,具有很强的实用性。
朱红霞, 黄晓
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Dizhen xuebao本文开展了基于地震活动图像预测华北地区地震的机器学习方法研究。根据华北地区M≥5.0中强震、强震及大震的地震平均时间间隔，采用1970年以来华北地区M≥5.0中强震、强震及大震震前大量不同时窗长的ML≥3.0地震活动图像作为输入数据集，提出了基于地震活动图像预测地震的机器学习方法，并进行了震例回溯。利用本文提出的方法选取“未拓展图像数据集”和“含拓展图像数据集”对华北地区发生中强地震进行预测对比，结果显示，数据集样本量的增加有利于提高地震预测模型的精度，其中“含拓展图像数据集”预测地震的准确率可达77%；
Xiaofei Yin +4 more
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Gaoya dianqi, 2023 针对输电线路巡检的复杂场景下被遮挡以及目标较小导致的误检问题，文中提出了一种基于YOLOv5的改进算法模型。首先通过数据增强和数据扩充数据集进行预处理；其次给引入SE模块，加强对不同尺度下目标的特征融合；然后引入CBAM模块，进行进一步特征提取，使提取的特征信息更加突出。最后，对损失函数进行优化，改进小数据导致的样本不均衡现象。经实验证明，改进后的算法有效地提高了被遮挡的目标和小目标的识别率，mAP较原算法精度提高了5%,Recall提高了14.6%。与其他改进模型相比，精度、召回率都有提高 ...
游越, 伊力哈木·亚尔买买提
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Harnessing social media data to track species range shifts
Conservation Biology, EarlyView.Abstract Biodiversity monitoring programs and citizen science data remain heavily biased toward the Global North. Especially in megadiverse countries with limited biodiversity records, incorporating social media data can help address existing data gaps.
Shawan Chowdhury +15 more
wiley +1 more source
A review of deep learning-based few sample fault diagnosis method for rotating machinery [PDF]
ObjectivesDeep learning has shown great potential in the field of rotating machinery fault diagnosis. Its excellent performance heavily relies on sufficient training samples.
Jun WU +4 more
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Learner‐Focused Strategy Instruction From the Teachers’ and the Learners’ Perspective
International Journal of Applied Linguistics, EarlyView.ABSTRACT Numerous large‐scale quantitative studies have been conducted to yield a macro‐level picture of the effectiveness of strategy instruction. However, little is understood about learners' actual processing of strategy instruction and interaction with the teachers delivering it.
Isobel Kai‐Hui Wang, Andrew D. Cohen
wiley +1 more source