Results 21 to 30 of about 500,120 (118)
ABSTRACT Water pollution is becoming increasingly severe, posing a serious hazard to human health and ecological security. Therefore, it is necessary to develop rapid, sensitive, and universal analytical methods to detect residual pollutants in actual water.
Yi Xing +4 more
wiley +1 more source
Narrative formatting, chronotopic orderings, and moralization in ex‐gay stories
Abstract Formatted stories rely on spatiotemporal cues to evoke recognizability through linearity, which prescribes a particular template for meaning‐making. This article examines stories narrated by ex‐gay members of a Christian organization in Singapore and considers how chronotopes within the stories are ordered to regiment ways of feeling for ...
Vincent Pak
wiley +1 more source
针对空间科学卫星遥测参数数据量大且特征维度高、需要消耗大量人力资源预先设置海量阈值、预先设置的阈值可能不再适用、现有监测手段可扩展性低等问题,提出了一种基于集成学习的空间科学卫星工作模式识别方法。该方法采用相关系数统计特性和互信息理论对遥测参数数据进行筛选降维,使用数据重采样技术解决数据集中存在的类别不平衡问题,构建集成学习模型,实现空间科学卫星工作模式的识别。借助某型号科学卫星真实遥测参数数据对该方法进行验证,在短时内便可构建完成算法模型,模型对整体类别的识别正确率高达99.67 ...
王 春梅 +3 more
core +1 more source
ABSTRACT The development of neuromorphic electronics with visual perception and adaptive capability is highly desirable for advancing artificial vision systems. Herein, we have demonstrated a dual‐plasticity adaptive phototransistor based on IGZO nanofibers that exhibits the perception and dynamic adaptation behavior of rod and cone cells to varying ...
Shanshan Jiang +5 more
wiley +1 more source
ABSTRACT The edge deployment of artificial intelligence has driven the exploitation of compact, energy‐efficient information processing systems that integrate sensing, memory, and multi‐task processing functions. However, conventional vision systems suffer from significant energy/time overhead, extra hardware costs, and an unaffordable algorithm ...
Shanshan Jiang +6 more
wiley +1 more source
[目的]实现对领域概念上下位关系的自动识别,以解决领域本体自动化构建中领域概念间语义关系的自动获取和确立问题。[方法]将传统无监督的基于模式的方法和当前先进的有监督的基于投影学习的方法有机结合起来应用于领域概念上下位关系自动识别,并进行了试验研究。[结果]能识别出领域概念的上位词集合,在医学领域的识别精度为0.88,通用领域的识别精度为0.83,在评估基准集BLESS上的平均精度为0.85。[局限]受句法歧义、语料集的质量等影响,模型精度尚未达到峰值,存在错误识别的情况。[结论 ...
王思丽, 杨恒, 祝忠明, 刘巍
core +1 more source
Lessons learned from screening potential other effective area‐based conservation measures
Abstract Other effective area‐based conservation measures (OECMs) are sites that deliver effective biodiversity outcomes irrespective of their management objectives. These areas are widely expected to play an important role in efforts to protect 30% of Earth by 2030.
Carly N. Cook +15 more
wiley +1 more source
仿生模式识别(拓扑模式识别)--一种模式识别新模型的理论与应用
本文提出了一种模式识别理论的新模型,它是基于“认识”事物而不是基于“区分”事物为目的。与传统以“最佳划分”为目标的统计模式识别相比,它更接近于人类“认识”事物的特性,故称为“仿生模式识别”。它的数学方法在于研究特征空间中样本集合的拓扑性质,故亦称作“拓扑模式识别”。“拓扑模式识别”的理论基点在于它确认了特征空间中同类样本的连续性(不能分裂成两个彼此不邻接的部分)特性。文中用“仿生模式识别”理论及其“高维空间复杂几何形体覆盖神经网络”识别方法,对地平面刚体目标全方位识别问题作了实验 ...
王守觉
core
Scaling area‐based conservation, including initiatives led or comanaged by Indigenous Peoples and local communities, is a flagship goal of the Kunming‐Montreal Global Biodiversity Framework. Conservationists often aspire to scale initiatives, but this is rarely achieved in practice. Identifying and addressing factors that limit initiative adoption (i.e.
Thomas Pienkowski +39 more
wiley +1 more source
提出了一种基于仿生模式识别(Biomimatic Pattern Recognition)和多权值神经元网络(Multi-Weights.Neu-ral Network)的人脸识别新方法.对仿生模式识别理论在人脸识别中的应用模型作了讨论,并且介绍了一种新的人脸特征提取方法.本文通过实验对本文提出的基于仿生模式识别的方法和基于K近邻的方法做了对比,实验结果表明本文的方法克服了对未训练类型的人脸误识问题 ...
王守觉, 赵占强, 王志海
core

