全文获取类型
收费全文 | 596篇 |
免费 | 16篇 |
国内免费 | 3篇 |
专业分类
电工技术 | 8篇 |
化学工业 | 108篇 |
金属工艺 | 11篇 |
机械仪表 | 8篇 |
建筑科学 | 6篇 |
能源动力 | 18篇 |
轻工业 | 29篇 |
水利工程 | 1篇 |
无线电 | 100篇 |
一般工业技术 | 133篇 |
冶金工业 | 62篇 |
原子能技术 | 1篇 |
自动化技术 | 130篇 |
出版年
2023年 | 6篇 |
2022年 | 14篇 |
2021年 | 17篇 |
2020年 | 16篇 |
2019年 | 14篇 |
2018年 | 12篇 |
2017年 | 8篇 |
2016年 | 8篇 |
2015年 | 13篇 |
2014年 | 19篇 |
2013年 | 42篇 |
2012年 | 20篇 |
2011年 | 35篇 |
2010年 | 22篇 |
2009年 | 27篇 |
2008年 | 21篇 |
2007年 | 22篇 |
2006年 | 27篇 |
2005年 | 18篇 |
2004年 | 24篇 |
2003年 | 18篇 |
2002年 | 19篇 |
2001年 | 5篇 |
2000年 | 9篇 |
1999年 | 16篇 |
1998年 | 15篇 |
1997年 | 15篇 |
1996年 | 15篇 |
1995年 | 19篇 |
1994年 | 12篇 |
1993年 | 4篇 |
1992年 | 8篇 |
1991年 | 15篇 |
1990年 | 2篇 |
1989年 | 5篇 |
1988年 | 5篇 |
1986年 | 2篇 |
1985年 | 6篇 |
1984年 | 6篇 |
1983年 | 2篇 |
1982年 | 4篇 |
1980年 | 2篇 |
1979年 | 5篇 |
1977年 | 6篇 |
1975年 | 2篇 |
1974年 | 1篇 |
1973年 | 3篇 |
1972年 | 3篇 |
1971年 | 1篇 |
1969年 | 2篇 |
排序方式: 共有615条查询结果,搜索用时 15 毫秒
611.
Seenia Francis Goutham Pooloth Sai Bala Subrahmanyam Singam Niyas Puzhakkal Pournami Pulinthanathu Narayanan Jayaraj Pottekkattuvalappil Balakrishnan 《International journal of imaging systems and technology》2023,33(1):175-191
The segmentation of Organs At Risk (OAR) in Computed Tomography (CT) images is an essential part of the planning phase of radiation treatment to avoid the adverse effects of cancer radiotherapy treatment. Accurate segmentation is a tedious task in the head and neck region due to a large number of small and sensitive organs and the low contrast of CT images. Deep learning-based automatic contouring algorithms can ease this task even when the organs have irregular shapes and size variations. This paper proposes a fully automatic deep learning-based self-supervised 3D Residual UNet architecture with CBAM(Convolution Block Attention Mechanism) for the organ segmentation in head and neck CT images. The Model Genesis structure and image context restoration techniques are used for self-supervision, which can help the network learn image features from unlabeled data, hence solving the annotated medical data scarcity problem in deep networks. A new loss function is applied for training by integrating Focal loss, Tversky loss, and Cross-entropy loss. The proposed model outperforms the state-of-the-art methods in terms of dice similarity coefficient in segmenting the organs. Our self-supervised model could achieve a 4% increase in the dice score of Chiasm, which is a small organ that is present only in a very few CT slices. The proposed model exhibited better accuracy for 5 out of 7 OARs than the recent state-of-the-art models. The proposed model could simultaneously segment all seven organs in an average time of 0.02 s. The source code of this work is made available at https://github.com/seeniafrancis/SABOSNet . 相似文献
612.
Silicon - Light weight composites with elevated temperature wear resistance are all time requirements even though many research articles available in the past three decades. This study concentrates... 相似文献
613.
Chandrakirishnan Balakrishnan Sivaparthipan Priyan Malarvizhi Kumar Thota Chandu BalaAnand Muthu Mohammed Hasan Ali Boris Tomaš 《Computational Intelligence》2023,39(5):806-831
Burnout is a state of exhaustion that results from prolonged, excessive workplace stress. This can be examined with the biological explications of burnout and physical consequences and classified against prolonged vigorous activities. The research aims to classify burnout people's brain images against prolonged emotional activities using ontology analysis of treatment and prevention and intermediate layers formation based on a speculative sense model. In this segment, the Ontology analysis of Treatment and prevention and intermediate layers formation based on a hypothetical sense model is employed for burnout people's classification analysis. The methodology is performed in the platform of ontology creation and performs the classification analysis. The calculation analysis found the result, and the brain images were classified. The classification analysis of burnout people's brain images, separation of prolonged vigorous activities, and the ontology creation for treatment and prevention against burnout people's brain images were obtained. The analysis received the result, and the results of the precision, recall, storage, computation time, specificity, and classification of burnout people's brain images were obtained. Furthermore, all these Ontology analysis of Treatment and prevention and intermediate layers formation based on a hypothetical sense model had the prediction sensitivity (SN) over 50% and specificity (SP) over 90%. The Classification of Burnout People's Brain performance comparison shows that the proposed system is much more successful than existing methods, especially on a scoring accuracy of 98%. 相似文献
614.
Nisaa Azka Ainun Oon Chern-Ein Sreenivasan Sasidharan Balakrishnan Venugopal Tan Jun Jie Teh Cindy Shuan-Ju Sany Salina Todorov Svetoslav Dimitrov Liu Guoxia Park Yong-Ha Liong Min-Tze 《Food science and biotechnology》2023,32(4):471-480
Food Science and Biotechnology - The aim of this study was to investigate the different immunological and antimicrobial properties of breast milk from women with (W) or without (WO) vaginal yeast... 相似文献
615.
Silicon - In this study aluminium 2024 metal matrix composite was fabricated with lithium, silicon nitride and composite containing both lithium and silicon nitride using stir casting route. XRD... 相似文献