Results 31 to 40 of about 861 (140)
Wildlife Letters, Volume 3, Issue 3, Page 91-98, September 2025.The edge densities of cropland, developed land, and water bodies (panel a) predict the spatial probability of mammalian predation on wild turkeys (panel b) using Mahalanobis distance factor analysis in Quitman County, Mississippi, United States. The three habitat fragmentation variables are represented by three arrows, respectively.
Guiming Wang +2 more
wiley +1 more source
Dianci bileiqi, 2022 近年来，基于深度学习的图像识别技术广泛应用于电力巡检图像分析领域。针对电力巡检图像中绝缘子定位算法准确性受到训练图像数量和质量限制的问题，提出一种基于风格迁移算法和图像清洗的电力巡检图像样本扩充方法。首先，提出一种基于风格迁移算法的目标检测数据集扩充方法，通过调整风格迁移算法中风格特征和内容特征占比的系数，生成同时包含绝缘子图像内容特征和风格图像风格特征的风格化图像，并通过复用风格化图像对应的原图像的标注文件，完成风格化图像中绝缘子位置和类别的标注。其次，提出一种基于改进LeNet ...
尤振飞 +6 more
doaj
Fault diagnosis method of rolling bearing of mine main fan based on transfer learning [PDF]
The condition monitoring and fault diagnosis of the rolling bearings of the main fan in the mine are significant to the safety of coal mine production. The existing fault diagnosis methods of rolling bearing have the problems of insufficient training and
Guoying MENG, Wei CUI, Xingwei WAN
core +1 more source
Bi-directional Pre-trained Network for Single-station Seismic Waveform Analysis [PDF]
The application of machine learning, particularly deep learning methods, is becoming increasingly widespread in seismology, achieving near-human accuracy in tasks such as phase detection and event classification.
Lu LI +4 more
core +1 more source
Application of action skill transfer in experimental teaching of basic nursing science
Huli yanjiu, 2005 根据动作技能迁移规律 ,建议在基础护理动作技能教学中应注意通过激发学生的学习动机、合理安排教学内容、提高学生认知水平、精心设计实验教学情景、发挥定势的积极作用、培养学生运用良好的学习方法等 ,来促进学生动作技能学习的迁移 ,提高教学效果。
田莉, 张国栋, 朱华
doaj
Jianzhu Gangjiegou Jinzhan, 2023 基于支持向量机的结构损伤识别方法建立在训练和测试数据同概率分布的假设上，必须对每个结构分别收集训练数据和标签并训练模型以识别损伤。损伤结构的训练数据和标签难以收集，导致支持向量机方法在结构损伤识别中难以实施。提出一种基于领域自适应支持向量机的跨域损伤识别方法，将在有损伤标签结构（源结构）上训练的支持向量机推广到无损伤标签结构（目标结构）的损伤识别中。该方法首先提取结构的多阶固有频率变化率作为损伤特征构建训练数据；然后，推导最小化边缘分布差异与最小化联合分布差异的迁移学习方法 ...
李佐强 +6 more
doaj
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
core +1 more source
Comparison of Three CNN Models Applied in Bone Age Assessment of Pelvic Radiographs of Adolescents [PDF]
, 2020 Objective To compare the performance of three deep-learning models （VGG19, Inception-V3 and Inception-ResNet-V2） in automatic bone age assessment based on pelvic X-ray radiographs.
PENG Li- qin , WAN Lei , WANG Mao- wen, et al.
core +1 more source
Research on Action Recognition Based on Multi-task Learning Methods [PDF]
, 2015 多任务学习是机器学习和数据挖掘研究领域的前沿课题。多任务学习的目标是通过利用多个相关任务之间的内在相关性，来提高其泛化能力。在许多现实分类问题中，多任务学习已被证明相比于传统单任务学习更有效。比如，在智能交通上，生物信息学,web搜索排名,疫苗设计等等。但在一些真实应用中，多任务中存在不相关（异常）任务。与此同时，对具有高维特征的训练样本进行多任务学习时，特征维度往往是远大于训练样本的。为了同时解决多任务学习中的异常任务问题和特征选择问题，因此本文对多任务学习展开研究。本文的主要工作和贡献有三个方面 ...
吴玉想
core
Implicit smartphone authentication via multimodal data and transfer autoencoders [PDF]
With the widely used of smartphones, traditional explicit authentication methods (e.g., passwords, fingerprints) are increasingly vulnerable due to their reliance on active user input, making the non-invasive implicit authentication a critical research ...
XU Zi’ang
core +1 more source