全文获取类型
收费全文 | 22922篇 |
免费 | 5475篇 |
国内免费 | 3474篇 |
专业分类
电工技术 | 1395篇 |
综合类 | 2900篇 |
化学工业 | 720篇 |
金属工艺 | 725篇 |
机械仪表 | 2049篇 |
建筑科学 | 1318篇 |
矿业工程 | 665篇 |
能源动力 | 271篇 |
轻工业 | 423篇 |
水利工程 | 361篇 |
石油天然气 | 1455篇 |
武器工业 | 470篇 |
无线电 | 3608篇 |
一般工业技术 | 2717篇 |
冶金工业 | 1410篇 |
原子能技术 | 96篇 |
自动化技术 | 11288篇 |
出版年
2024年 | 92篇 |
2023年 | 675篇 |
2022年 | 1370篇 |
2021年 | 1329篇 |
2020年 | 1361篇 |
2019年 | 1098篇 |
2018年 | 907篇 |
2017年 | 926篇 |
2016年 | 1061篇 |
2015年 | 1135篇 |
2014年 | 1515篇 |
2013年 | 1420篇 |
2012年 | 2024篇 |
2011年 | 2129篇 |
2010年 | 1740篇 |
2009年 | 1684篇 |
2008年 | 1655篇 |
2007年 | 1772篇 |
2006年 | 1476篇 |
2005年 | 1194篇 |
2004年 | 968篇 |
2003年 | 824篇 |
2002年 | 674篇 |
2001年 | 535篇 |
2000年 | 463篇 |
1999年 | 361篇 |
1998年 | 287篇 |
1997年 | 252篇 |
1996年 | 208篇 |
1995年 | 155篇 |
1994年 | 127篇 |
1993年 | 84篇 |
1992年 | 91篇 |
1991年 | 52篇 |
1990年 | 50篇 |
1989年 | 40篇 |
1988年 | 17篇 |
1987年 | 10篇 |
1986年 | 16篇 |
1985年 | 18篇 |
1984年 | 11篇 |
1983年 | 12篇 |
1982年 | 11篇 |
1981年 | 6篇 |
1980年 | 7篇 |
1979年 | 10篇 |
1977年 | 4篇 |
1975年 | 3篇 |
1959年 | 2篇 |
1951年 | 2篇 |
排序方式: 共有10000条查询结果,搜索用时 46 毫秒
1.
2.
高效率地使用工程车辆是工程项目管理中节约成本的有效方法,无人监管环境下工程车辆的工况识别,是实现工程车辆高效率使用的有效手段。目前以GPS等技术为核心的车辆智能管理系统未对工程车辆进行工况识别,提出一种基于GRU循环神经网络的工程车辆工况识别方法,通过对工程车辆在不同工况下产生的音频信号进行分析,从中提取Mel倒谱系数作为主要特征,构建GRU循环神经网络模型进行训练和识别。实验结果表明,该方法可以实现对工程车辆工况的有效识别。 相似文献
3.
Xia-Bing Zhou Zhong-Qing Wang Xing-Wei Liang Min Zhang Guo-Dong Zhou 《计算机科学技术学报》2022,37(5):1146-1160
There has been a recent line of work to automatically detect the emotions of posts in social media. In literature, studies treat posts independently and detect their emotions separately. Different from previous studies, we explore the dependence among relevant posts via authors' backgrounds, since the authors with similar backgrounds, e.g., "gender", "location", tend to express similar emotions. However, personal attributes are not easy to obtain in most social media websites. Accordingly, we propose two approaches to determine personal attributes and capture personal attributes between different posts for emotion detection: the Joint Model with Personal Attention Mechanism (JPA) model is used to detect emotion and personal attributes jointly, and capture the attributes-aware words to connect similar people; the Neural Personal Discrimination (NPD) model is employed to determine the personal attributes from posts and connect the relevant posts with similar attributes for emotion detection. Experimental results show the usefulness of personal attributes in emotion detection, and the effectiveness of the proposed JPA and NPD approaches in capturing personal attributes over the state-of-the-art statistic and neural models. 相似文献
4.
《中国有色金属学会会刊》2021,31(8):2468-2478
An acoustic emission (AE) experiment was carried out to explore the AE location accuracy influenced by temperature. A hollow hemispherical specimen was used to simulate common underground structures. In the process of heating with the flame, the pulse signal of constant frequency was stimulated as an AE source. Then AE signals received by each sensor were collected and used for comparing localization accuracy at different temperatures. Results show that location errors of AE keep the same phenomenon in the early and middle heating stages. In the later stage of heating, location errors of AE increase sharply due to the appearance of cracks. This provides some beneficial suggestions on decreasing location errors of structural cracks caused by temperature and improves the ability of underground structure disaster prevention and control. 相似文献
5.
Smartphones are being used and relied on by people more than ever before. The open connectivity brings with it great convenience and leads to a variety of risks that cannot be overlooked. Smartphone vendors, security policy designers, and security application providers have put a variety of practical efforts to secure smartphones, and researchers have conducted extensive research on threat sources, security techniques, and user security behaviors. Regrettably, smartphone users do not pay enough attention to mobile security, making many efforts futile. This study identifies this gap between technology affordance and user requirements, and attempts to investigate the asymmetric perceptions toward security features between developers and users, between users and users, as well as between different security features. These asymmetric perceptions include perceptions of quality, perceptions of importance, and perceptions of satisfaction. After scoping the range of smartphone security features, this study conducts an improved Kano-based method and exhaustively analyzes the 245 collected samples using correspondence analysis and importance satisfaction analysis. The 14 security features of the smartphone are divided into four Kano quality types and the perceived quality differences between developers and users are compared. Correspondence analysis is utilized to capture the relationship between the perceived importance of security features across different groups of respondents, and results of importance-satisfaction analysis provide the basis for the developmental path and resource reallocation strategy of security features. This article offers new insights for researchers as well as practitioners of smartphone security. 相似文献
6.
In this paper, we explore whether a feature selection method can improve model performance by using some classical machine learning models, artificial neural network, k-nearest neighbor,partial least squares-discrimination analysis, random forest, and support vector machine(SVM),combined with the feature selection methods, distance correlation coefficient(DCC), important weight of linear discriminant analysis(IW-LDA), and Relief-F algorithms, to discriminate eight species of wood(African rosewood, Brazilian bubinga, elm, larch, Myanmar padauk,Pterocarpus erinaceus, poplar, and sycamore) based on the laser-induced breakdown spectroscopy(LIBS) technique. The spectral data are normalized by the maximum of line intensity and principal component analysis is applied to the exploratory data analysis. The feature spectral lines are selected out based on the important weight assessed by DCC, IW-LDA,and Relief-F. All models are built by using the different number of feature lines(sorted by their important weight) as input. The relationship between the number of feature lines and the correct classification rate(CCR) of the model is analyzed. The CCRs of all models are improved by using a suitable feature selection. The highest CCR achieves(98.55...0.39)% when the SVM model is established from 86 feature lines selected by the IW-LDA method. The result demonstrates that a suitable feature selection method can improve model recognition ability and reduce modeling time in the application of wood materials classification using LIBS. 相似文献
7.
Vijayalakshmi A Rajesh Kanna B Vijayalakshmi C 《Microscopy research and technique》2022,85(2):685-696
Malaria is a major public health concern, affecting over 3.2 billion people in 91 countries. The advent of digital microscopy and Machine learning with the aim of automating Plasmodium falciparum diagnosis extensively depends on the extracted image features. The color of the cells, plasma, and stained artifacts influence the topological, geometrical, and statistical parameters being used to extract image features. During microscopic image acquisition, custom adjustments to the condenser and color temperature controls often have an influence on the extracted statistical features. But, our human visual system sub-consciously adjusts the color and retains the originality in a different lighting environment. Despite the use of appropriate image preprocessing, findings from the literature indicate that statistical feature variations exist, allowing the risk of P. falciparum misinterpretation. In order to eliminate this pervasive variation, the current work focuses on preprocessing the extracted statistical features rather than the prepossessing of the source image. It begins with the augmentation of series images for a microscopic field by inducing illumination variations during the microscopic image acquisition stage. A set of such image series is analyzed using a Nonlinear Regression Model to generalize the relationship between microscopic images acquired with variable ambient brightness and a specific feature. The projection point of the centroid feature onto the brightness parameter is identified in the model and it is denoted as the optimum brightness factor (OBF). Using the model, the feature correction factor (CF) is calculated from the rate of change of feature values over the interval OBF, and the brightness of the test image is processed. The present work has investigated OBF for selected image textural features, namely Contrast, Homogeneity, Entropy, Energy, and Correlation individually from its co-occurrence matrices. For performance analysis, the best state-of-the-art method uses selected texture as a subset feature to evaluate the effectiveness of P. falciparum malaria classification. Then, the impact of proposed feature processing is evaluated on 274 blood smear images with and without Feature Correction (FC). As a result, the “p” value is less than .05, which leads to the result that it is highly significant and the classification accuracy and F-score of P. falciparum malaria are increased. 相似文献
8.
For the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spatial gradient on keystroke content recognition and the selection of precise neighborhood points were studied on training and testing.Finally,a high-robustness keystroke recognition algorithm based on acoustic signals was constructed.Extensive experiments in different environments demonstrate that the proposed CFCC spatial gradient sound feature achieves great performance and the recognition accuracy is 96.15%. 相似文献
9.
以20 kHz浸入式超声破碎装置为研究对象,将声场分析与有限元方法相结合,分析了超声破碎料腔在不同声场条件下(液位高度、声源位置)的声模态特性,并对超声场内的空化分布和平均声能密度的变化规律进行探讨,最后应用声学测量方法和图像采集试验进行了验证。结果表明:超声空化的空间分布与料腔中声场的声模态特性相关;料腔半径一定,当液位达到料腔声场的谐振液位时,场内平均声能密度较高,空化效应显著增强,空间分布与场内声压分布一致。在谐振液位时,声源位置的布放对平均声能密度和空化增强影响显著。 相似文献
10.
新型冠状病毒可以通过空气中的飞沫、气溶胶等载体进行传播,在公共场所下正确佩戴口罩可以有效地防止病毒的传播。提出了一种自然场景下人脸口罩佩戴检测方法,对RetinaFace算法进行了改进,增加了人脸口罩佩戴检测任务,优化了损失函数。在特征金字塔网络中引入了一种改进的自注意力机制,增强了特征图的表达能力。建立了包含3 000张图片的数据集,并进行手工标注,用于网络训练。实验结果表明该算法可以有效进行口罩佩戴检测,在自然场景视频中也取得了不错的检测效果。 相似文献