Results 41 to 50 of about 12,984 (168)
目前,事件检测的难点在于一词多义和多事件句的检测.为了解决这些问题,提出了一个新的基于语言模型的带注意力机制的循环卷积神经网络模型(recurrent and convolutional neural network with attention based ..
施喆尔, 陈锦秀
core
Electromagnetic signal denoising method based on inverse autoencoder and channel attention mechanism [PDF]
The magnetotelluric (MT) method is a core technology widely used in geophysical exploration and commonly used in geological surveys, resource exploration and geodynamic research.
Chao Zhang, Mingjie Ji, Nian Yu
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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 There exists a growing suite of technologies that support significant and exciting progress in biodiversity conservation and research. Citizen scientist participation is common in this research and often focuses on data collection and labeling.
Joycelyn Longdon +5 more
wiley +1 more source
近年来,基于自注意力机制的神经网络在计算机视觉任务中得到广泛的应用。随着智能交通系统的广泛应用,面对复杂多变的交通场景,车牌识别任务的难度不断提高,准确识别的需求更加迫切。因此提出一个基于自注意力的免矫正的车牌识别方法T-LPR。首先对图像进行切片和序列化,并使用3D卷积对切片序列进行特征提取,从而得到图像的嵌入向量序列。然后将嵌入向量序列输入基于Transformer Encoder的编码器中,学习各个嵌入向量之间的关系并输出最终的编码结果。最后使用分类器进行分类。在多个公共数据集上的实验结果表明 ...
曾淦雄, 柯逍
doaj
Multi-Band Image Caption Generation Method Based on Feature Fusion [PDF]
This study proposes a multi-band detection image caption generation method based on feature fusion to address the common problem of poor performance in describing nighttime scenes, occluded target scenes, and captured blurred images in existing image ...
HE Shan, LIN Suzhen, WANG Yanbo, LI Dawei
core +1 more source
ABSTRACT The evolution of the γ′−Ni3(Al, Ti) phase in superalloys is governed by a coupled coalescence‐ripening mechanism driven by elemental diffusion. In this study, thermal exposure experiments were performed at 750°C and 800°C for durations ranging from 100 to 20,000 h.
Zhaotian Wang +5 more
wiley +1 more source
融入混合注意力的低缩放因子Seam Carving篡改检测算法
针对现有的Seam Carving篡改检测算法对于低缩放因子情况存在检测精度不高、鲁棒性不强的问题,提出一种融入混合注意力机制的Seam Carving篡改检测算法。首先,利用BayarConv2D约束卷积对图像进行预处理,充分学习图像的噪声特征,并通过矩阵乘法与RGB图像进行特征融合;然后,采用ResNet作为骨干网络进行特征学习,引入残差传播和残差反馈机制,凸显Seam Carving的操作痕迹;最后,利用混合注意力机制同时提取相邻位置和通道之间的特征,更好地捕捉全局特征 ...
赵洁, 常皓婵, 武斌
doaj +1 more source
语音识别是变电站智能运检中关键的人机交互技术。然而,由于生产环境中存在使用专业术语多和噪声大的问题,传统的语音识别方法的效果受限。为此,文中提出了一种基于声音谱特征的语音识别方法。通过融合MFCC与CQT谱,形成一种基于声音谱的特征参数,通过对参数分布的估计,能够有效地降低语音信息中的噪声干扰。为提升语音识别性能,文中设计一个端到端的语音识别模型。该模型基于卷积神经网络(CNN),并融合了CTC和注意力机制。CNN网络能够有效地捕捉语音数据中的局部模式和结构信息 ...
高宝明 +5 more
doaj
Research on Multiview Convolutional Gesture Recognition with Fusion Attention Mechanism [PDF]
Gesture recognition based on surface Electromyography(sEMG) plays an important role in human-computer interactions. However, improving the accuracy of gesture recognition is a challenging task because of the nonlinearity and randomness of sEMG.
Wentao YUAN, Wentao WEI, Demin GAO
core +1 more source

