全文获取类型
收费全文 | 32931篇 |
免费 | 4075篇 |
国内免费 | 2523篇 |
专业分类
电工技术 | 4969篇 |
技术理论 | 1篇 |
综合类 | 3189篇 |
化学工业 | 1368篇 |
金属工艺 | 2208篇 |
机械仪表 | 4153篇 |
建筑科学 | 966篇 |
矿业工程 | 1201篇 |
能源动力 | 1514篇 |
轻工业 | 813篇 |
水利工程 | 406篇 |
石油天然气 | 635篇 |
武器工业 | 761篇 |
无线电 | 4981篇 |
一般工业技术 | 2217篇 |
冶金工业 | 1760篇 |
原子能技术 | 115篇 |
自动化技术 | 8272篇 |
出版年
2024年 | 169篇 |
2023年 | 517篇 |
2022年 | 888篇 |
2021年 | 958篇 |
2020年 | 1112篇 |
2019年 | 946篇 |
2018年 | 917篇 |
2017年 | 1235篇 |
2016年 | 1391篇 |
2015年 | 1622篇 |
2014年 | 2329篇 |
2013年 | 1880篇 |
2012年 | 2720篇 |
2011年 | 2809篇 |
2010年 | 2048篇 |
2009年 | 1944篇 |
2008年 | 1885篇 |
2007年 | 2298篇 |
2006年 | 1973篇 |
2005年 | 1696篇 |
2004年 | 1231篇 |
2003年 | 1254篇 |
2002年 | 1054篇 |
2001年 | 961篇 |
2000年 | 789篇 |
1999年 | 616篇 |
1998年 | 444篇 |
1997年 | 402篇 |
1996年 | 323篇 |
1995年 | 252篇 |
1994年 | 221篇 |
1993年 | 133篇 |
1992年 | 117篇 |
1991年 | 76篇 |
1990年 | 65篇 |
1989年 | 69篇 |
1988年 | 40篇 |
1987年 | 31篇 |
1986年 | 18篇 |
1985年 | 11篇 |
1984年 | 11篇 |
1983年 | 10篇 |
1982年 | 4篇 |
1981年 | 5篇 |
1978年 | 4篇 |
1964年 | 6篇 |
1962年 | 6篇 |
1961年 | 4篇 |
1960年 | 4篇 |
1956年 | 4篇 |
排序方式: 共有10000条查询结果,搜索用时 46 毫秒
1.
Small object detection is challenging and far from satisfactory. Most general object detectors suffer from two critical issues with small objects: (1) Feature extractor based on classification network cannot express the characteristics of small objects reasonably due to insufficient appearance information of targets and a large amount of background interference around them. (2) The detector requires a much higher location accuracy for small objects than for general objects. This paper proposes an effective and efficient small object detector YOLSO to address the above problems. For feature representation, we analyze the drawbacks in previous backbones and present a Half-Space Shortcut(HSSC) module to build a background-aware backbone. Furthermore, a coarse-to-fine Feature Pyramid Enhancement(FPE) module is introduced for layer-wise aggregation at a granular level to enhance the semantic discriminability. For loss function, we propose an exponential L1 loss to promote the convergence of regression, and a focal IOU loss to focus on prime samples with high classification confidence and high IOU. Both of them significantly improves the location accuracy of small objects. The proposed YOLSO sets state-of-the-art results on two typical small object datasets, MOCOD and VeDAI, at a speed of over 200 FPS. In the meantime, it also outperforms the baseline YOLOv3 by a wide margin on the common COCO dataset. 相似文献
2.
3.
Small group detection and tracking in crowd scenes are basis for high level crowd analysis tasks. However, it suffers from the ambiguities in generating proper groups and in handling dynamic changes of group configurations. In this paper, we propose a novel delay decision-making based method for addressing the above problems, motivated by the idea that these ambiguities can be solved using rich temporal context. Specifically, given individual detections, small group hypotheses are generated. Then candidate group hypotheses across consecutive frames and their potential associations are built in a tree. By seeking for the best non-conflicting subset from the hypothesis tree, small groups are determined and simultaneously their trajectories are got. So this framework is called joint detection and tracking. This joint framework reduces the ambiguities in small group decision and tracking by looking ahead for several frames. However, it results in the unmanageable solution space because the number of track hypotheses grows exponentially over time. To solve this problem, effective pruning strategies are developed, which can keep the solution space manageable and also improve the credibility of small groups. Experiments on public datasets demonstrate the effectiveness of our method. The method achieves the state-of-the-art performance even in noisy crowd scenes. 相似文献
4.
While creativity is essential for developing students’ broad expertise in Science, Technology, Engineering, and Math (STEM) fields, many students struggle with various aspects of being creative. Digital technologies have the unique opportunity to support the creative process by (1) recognizing elements of students’ creativity, such as when creativity is lacking (modeling step), and (2) providing tailored scaffolding based on that information (intervention step). However, to date little work exists on either of these aspects. Here, we focus on the modeling step. Specifically, we explore the utility of various sensing devices, including an eye tracker, a skin conductance bracelet, and an EEG sensor, for modeling creativity during an educational activity, namely geometry proof generation. We found reliable differences in sensor features characterizing low vs. high creativity students. We then applied machine learning to build classifiers that achieved good accuracy in distinguishing these two student groups, providing evidence that sensor features are valuable for modeling creativity. 相似文献
5.
Combination of X-ray Digital Industrial Radiography (DIR) and Particle Tracking Velocimetry (PTV) techniques for local liquid velocity measurement (VLL) has been newly developed and successfully applied for trickle bed reactor (TBR). The technique was validated against newly developed fiber optical probe technique. This work attempts to highlight the applicability of this newly developed technique on a liquid–solid packed bed reactor. In this work, liquid was represented by water and solids were represented by EPS beads. The EPS beads were chosen because of its low density property. Three superficial liquid velocities (VSL) were applied to the system. The experiment was replicated four times. The digital industrial radiography (DIR) consists of a complementary metal oxide semiconductor (CMOS) digital detector and X-ray source. Results of this work suggest that the technique has been successfully applied and comparable with previous work that has been done in the literature. It also suggests that there will be a maximum measurable interstitial liquid velocity when it travel inside the packed bed. The measured VLL can have a maximum range that is between 4 and 4.7 times that of its VSL. For VSL=0.42±±2%, the VLL-Max is in between 1.7 cm/s and 1.9 cm/s, VSL=0.84±±2%, the VLL-Max is in between 3.6 cm/s and 4.0 cm/s, and for VSL=1.11±±2%, the VLL-Max is in between 4.3 cm/s and 4.8 cm/s. 相似文献
6.
针对空空宽带高速通信的需求,设计了小型化机载激光通信系统。仿真分析了300 km、2.5 Gb/s无线激光链路性能,并通过运动仿真台模拟机动环境测试了系统的跟踪与通信性能,其中粗跟踪误差为533.2 μrad(1σ),精跟踪误差为3.6 μrad(1σ),测试数据传输240 s,通信误码率为2.82×10-9。仿真与实验验证了该系统用于远距离空空无线激光通信的可行性。 相似文献
7.
为提高稀疏表示跟踪模型性能,提出一种分段加权的反向稀疏跟踪算法,将跟踪问题转化为在贝叶斯框架下寻找概率最高的候选对象问题,构造不同的分段权重函数来分别度量候选目标与正负模板的判别特征系数。通过池化来降低跟踪结果的不确定性干扰,选择正负模板加权系数差值最大的候选表示作为跟踪结果。实验表明,在光照变化、遮挡、快速运动、运动模糊情况下,所提出的算法可以确保跟踪结果的准确性和鲁棒性。 相似文献
8.
Tong
Ma 《International Journal of Adaptive Control and Signal Processing》2020,34(9):1162-1181
A filtered adaptive constrained sampled-data controller for uncertain multivariable nonlinear systems in the presence of various constraints is synthesized in this paper. A piecewise constant adaptive law drives that estimation error dynamics to zero at each sampling time instant yields adaptive parameters. The filtered control scheme consists of two components. Based on an estimation/cancellation strategy, a disturbance rejection control law is designed to compensate the nonlinear uncertainties within the bandwidth of low-pass filters, whereas a constraint violation avoidance control law is designed to solve an online constrained optimization problem. Although a reduced sampling time helps to minimize the estimation error caused by the neglect of unknowns, the resulting aggressive signals put more restrictions on the control law. Greater sacrifice of tracking performance is required to satisfy the constraints. The constraints violation avoidance control law is in favor of a larger sampling time. Sufficient conditions are given to guarantee the stability of the closed-loop system with the sampled-data controller, where the input/output signals are held constant over the sampling period. Numerical examples are provided to validate the theoretical results, comparisons between the constrained sampled-data controller and unconstrained adaptive controller with the implementation of different sampling times are carried out. 相似文献
9.
10.
Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters and its convergence is independent of the initial conditions. In this paper, a novel artificial bee colony based maximum power point tracking algorithm (MPPT) is proposed. The developed algorithm, does not allow only overcoming the common drawback of the conventional MPPT methods, but it gives a simple and a robust MPPT scheme. A co-simulation methodology, combining Matlab/Simulink™ and Cadence/Pspice™, is used to verify the effectiveness of the proposed method and compare its performance, under dynamic weather conditions, with that of the Particle Swarm Optimization (PSO) based MPPT algorithm. Moreover, a laboratory setup has been realized and used to experimentally validate the proposed ABC-based MPPT algorithm. Simulation and experimental results have shown the satisfactory performance of the proposed approach. 相似文献