基于迁移学习和红外热成像的金属氧化物避雷器表面污染状态检测方法
金属氧化物避雷器外壳受灰尘、盐、碱等污染物长期沉积的影响,会导致其过早失效,因此,准确地检测金属氧化物避雷器表面的污染状态是非常重要的。基于此,面向饱和积污提出了一种利用红外热成像技术和迁移学习检测金属氧化物避雷器外壳污染严重程度的新方法。该方法通过拍摄不同污染状态下金属氧化物避雷器的红外热图像,经过适当的预处理后,捕获的红外热图像被送入预训练卷积神经网络“ResNet50”进行自动特征提取。提取的深度特征被输入到4个机器学习分类器,即k-最近邻分类器、支持向量机分类器 ...
沈顺群 +5 more
doaj
Ripeness identification of pitaya fruit based on YOLOv8 and PSP-Ellipse [PDF]
ObjectiveImprove the accuracy and robustness of maturity detection of pitaya fruit.MethodsCombining the YOLOv8 object detection model with the PSP-Ellipse segmentation algorithm, an efficient and accurate automatic identification method for pitaya fruit ...
FENG Chao +3 more
core +1 more source
Papaya maturity detection based on multi-target sampling and improved Mask R-CNN [PDF]
Objective: Improve the accuracy and robustness of papaya ripeness detection. Methods: A method of papaya ripeness detection based on multi-target sampling and improved Mask R-CNN was proposed. In the process of data expansion, the method introduced multi-
QI Guohong, SU Man, ZHANG Yunlong
core +1 more source
Research on Food Image Classification Algorithm based on Improved MobileNetV3-Large [PDF]
Food image recognition plays a crucial role in food safety monitoring, nutritional analysis, and dietary recommendation systems. However, the diversity, complexity, and external factors such as lighting conditions pose numerous difficulties and ...
HE Wei-chan, QIN Jing-hui, YANG Zhi-jing
core +1 more source
针对无人机巡检电力玻璃绝缘子过程中,无人机的计算能力和存储资源有限,且在黑暗、光照、噪声干扰、特殊天气等复杂环境下拍摄的玻璃绝缘子自爆缺陷图片难以检测的问题。提出一种适用于复杂环境下玻璃绝缘子自爆的实时检测方法。该方法以具有轻量化特点的YOLOX-s目标检测模型为基础。首先,采用多阶段迁移学习策略提升模型整体性能。其次,通过新增一层浅层特征进行特征融合,使得融合后特征的位置信息更加丰富,更利于自爆缺陷小目标的定位。同时利用Focal Loss专注困难样本学习,提高模型在复杂环境下的鲁棒性。最后 ...
冯世凯, 陈千
doaj
短文本情感分析的研究现状——从社交媒体到资源稀缺语言 [PDF]
随着社交网络的逐渐成熟,各类语种的文本出现在社交网络上。而这些非规范的短文本蕴藏着人们对事物的褒贬、需求等意见,是国家政府和企业了解公众舆论的重要参考信息,具有重大的研究价值和应用价值。首先,对目前互联网短文本情感分析领域常用的神经网络、跨语言和应用语言学知识等研究方法进行归纳和总结;其次,对当前短文本情感分析研究的热点领域——社交媒体和资源稀缺语言的情感分析进行现状分析;最后,对短文本情感分析研究的趋势进行总结,分析存在的问题,并对未来进行展望。国家自然科学基金项目(61262086 ...
史晓东, 尼玛扎西, 拥措
core
Coal gangue image recognition model based on CSPNet-YOLOv7 target detection algorithm [PDF]
The gangue recognition technology is one of the key technologies in the intelligent construction of mines. To address the problem of low accuracy of the gangue recognition model caused by low illumination and high dust environment at the working face and
Chao LIU +4 more
core +1 more source
Channel Robust Text-Independent Speaker Recognition and Application [PDF]
由于信息安全问题的不断涌现,在公共安全、金融、商业等领域,基于生物特征认证技术的产品需求逐渐膨胀。说话人识别作为唯一适合远程认证的技术,逐渐被各个领域所接受,并开始得到应用。但实用系统中,各式各样的语音采集设备与传输信道差异,使得训练语音与测试语音之间存在信道失配的情况,导致说话人识别性能急剧下降。这便是说话人识别中的跨信道问题,它也是影响说话人识别性能最重要的因素之一。因此,如何在最大程度上降低跨信道对识别性能的影响,将是本课题的研究重点。 本文从特征域、模型域及得分域这三个层面 ...
陈万里
core
[A deep transfer learning approach for cross-subject recognition of mental tasks based on functional near-infrared spectroscopy]. [PDF]
Zhang Y, Liu D, Gao F.
europepmc +1 more source
[Deep transfer learning radiomics model based on temporal bone CT for assisting in the diagnosis of inner ear malformations]. [PDF]
Zhao X +5 more
europepmc +1 more source

