Results 41 to 50 of about 844 (118)
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
Issue Attention in Public Opinion Polls: Pollsters as Agenda Responders and Agenda Setters
Policy Studies Journal, EarlyView.ABSTRACT Polling organizations, like other policy actors, must prioritize certain issues. We argue that, for normative and financial reasons, pollsters prioritize issues that are viewed as important by other institutions and the public, leading them to focus survey questions on issues that are on congressional and media agendas, and which are public ...
Qian Zhang +2 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
智能科学与技术学报针对现有的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
Gaoya dianqi, 2023 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
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People and Nature, Volume 8, Issue 2, Page 270-282, February 2026.Abstract Chinese consumer demand for ivory threatens vulnerable African elephant populations, despite long‐standing efforts to combat the illegal wildlife trade. Behavioural science approaches have been proposed to address these systemic behaviours. However, their robust use remains uncommon in demand management interventions.
Molly R. C. Brown +3 more
wiley +1 more source
SWEET1‐mediated glucose transport is crucial for energy availability in Arabidopsis
New Phytologist, Volume 249, Issue 4, Page 1816-1830, February 2026.Summary The stress‐responsive hormone abscisic acid (ABA) is known for its inhibitory effects on various physiological processes, including seed germination, often resulting in energy deprivation. Interestingly, ABA‐induced germination inhibition can be alleviated by exogenous glucose (Glc), mimicking a functional interplay between ABA and sugar ...
Xueyi Xue +3 more
wiley +1 more source
Zhendong Ceshi yu Zhenduan针对长短期记忆神经网络提取特征信息相关性和时间信息依赖性不足的问题，提出基于改进双多头注意力机制的长短期记忆神经网络（improved dual stage attention⁃based long short⁃term memory neural networks， 简称IDSA⁃LSTMNN），以提高滚动轴承剩余使用寿命（remaining useful life， 简称RUL）的预测精度。首先，采用改进的蜘蛛蜂优化器（improved spider wasp optimizer， 简称ISWO ...
doaj +1 more source
, 2019 机器翻译是指利用计算机将一种语言文本转换成具有相同语义的另一种语言文本的过程。它是人工智能领域的一项重要研究课题。近年来,随着深度学习研究和应用的快速发展,神经网络机器翻译成为机器翻译领域的重要发展方向。该文首先简要介绍近一年神经网络机器翻译在学术界和产业界的影响,然后对当前的神经网络机器翻译的研究进展进行分类综述,最后对后续的发展趋势进行展望。国家自然科学基金(61672440)国家语委一般项目课题(YB135-49)厦门大学校长基金(ZK1024)国家重点研发计划 ...
刘庆 +5 more
core
A 3D printing defect detection algorithm incorporating attention mechanism [PDF]
In recent years, 3D printing technology has played an increasingly important role in a growing number of industries. However, as a relatively new technology, it tends to exhibit more defects during the printing process compared to traditional ...
DONG Xisong +5 more
core +1 more source