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排序方式: 共有2001条查询结果,搜索用时 62 毫秒
41.
Francesco Marra Giovanni Poggi Carlo Sansone Luisa Verdoliva 《Multimedia Tools and Applications》2017,76(4):4765-4781
Camera model identification has great relevance for many forensic applications, and is receiving growing attention in the literature. Virtually all techniques rely on the traces left in the image by the long sequence of in-camera processes which are specific of each model. They differ in the prior assumptions, if any, and in how such evidence is gathered in expressive features. In this work we study a class of blind features, based on the analysis of the image residuals of all color bands. They are extracted locally, based on co-occurrence matrices of selected neighbors, and then used to train a classifier. A number of experiments are carried out on the well-known Dresden Image Database. Besides the full-knowledge case, where all models of interest are known in advance, other scenarios with more limited knowledge and partially corrupted images are also investigated. Experimental results show these features to provide a state-of-the-art performance. 相似文献
42.
Sequential learning is the discipline of machine learning that deals with dependent data such that neighboring labels exhibit some kind of relationship. The paper main contribution is two-fold: first, we generalize the stacked sequential learning, highlighting the key role of neighboring interactions modeling. Second, we propose an effective and efficient way of capturing and exploiting sequential correlations that takes into account long-range interactions. We tested the method on two tasks: text lines classification and image pixel classification. Results on these tasks clearly show that our approach outperforms the standard stacked sequential learning as well as state-of-the-art conditional random fields. 相似文献
43.
Carlo Combi Giuseppe Pozzi 《The VLDB Journal The International Journal on Very Large Data Bases》2001,9(4):294-311
The granularity of given temporal information is the level of abstraction at which information is expressed. Different units of measure allow
one to represent different granularities. Indeterminacy is often present in temporal information given at different granularities:
temporal indeterminacy is related to incomplete knowledge of when the considered fact happened. Focusing on temporal databases, different granularities
and indeterminacy have to be considered in expressing valid time, i.e., the time at which the information is true in the modeled
reality. In this paper, we propose HMAP (The term is the transliteration of an ancient Greek poetical word meaning “day”.), a temporal data model extending the capability
of defining valid times with different granularity and/or with indeterminacy. In HMAP, absolute intervals are explicitly represented by their start,end, and duration: in this way, we can represent valid times as “in December 1998 for five hours”, “from July 1995, for 15 days”, “from March
1997 to October 15, 1997, between 6 and 6:30 p.m.”. HMAP is based on a three-valued logic, for managing uncertainty in temporal relationships. Formulas involving different temporal
relationships between intervals, instants, and durations can be defined, allowing one to query the database with different
granularities, not necessarily related to that of data. In this paper, we also discuss the complexity of algorithms, allowing
us to evaluate HMAP formulas, and show that the formulas can be expressed as constraint networks falling into the class of simple temporal problems,
which can be solved in polynomial time.
Received 6 August 1998 / Accepted 13 July 2000 Published online: 13 February 2001 相似文献
44.
Sacchi M Spezzani C Carpentiero A Prasciolu M Delaunay R Lüning J Polack F 《The Review of scientific instruments》2007,78(4):043702
We have developed a setup for measuring holographically formed interference patterns using an integrated sample-mask design. The direct space image of the sample is obtained via a two-dimensional Fourier transform of the X-ray diffraction pattern. We present the details of our setup, commenting on the influence of geometrical parameters on the imaging capabilities. As an example, we present and discuss the results of test experiments on a patterned Co film. 相似文献
45.
Massimo De Santo Gennaro Percannella Carlo Sansone Mario Vento 《Pattern Analysis & Applications》2007,10(2):135-145
In this paper, we propose an innovative architecture to segment a news video into the so-called “stories” by both using the
included video and audio information. Segmentation of news into stories is one of the key issues for achieving efficient treatment
of news-based digital libraries. While the relevance of this research problem is widely recognized in the scientific community,
we are in presence of a few established solutions in the field. In our approach, the segmentation is performed in two steps:
first, shots are classified by combining three different anchor shot detection algorithms using video information only. Then,
the shot classification is improved by using a novel anchor shot detection method based on features extracted from the audio
track. Tests on a large database confirm that the proposed system outperforms each single video-based method as well as their
combination.
相似文献
Mario VentoEmail: |
46.
In this paper, we consider a neural field model comprised of two distinct populations of neurons, excitatory and inhibitory, for which both the velocities of action potential propagation and the time courses of synaptic processing are different. Using recently-developed techniques, we construct the Evans function characterising the stability of both stationary and travelling wave solutions, under the assumption that the firing rate function is the Heaviside step. We find that these differences in timing for the two populations can cause instabilities of these solutions, leading to, for example, stationary breathers. We also analyse "anti-pulses", a novel type of pattern for which all but a small interval of the domain (in moving coordinates) is active. These results extend previous work on neural fields with space-dependent delays, and demonstrate the importance of considering the effects of the different time-courses of excitatory and inhibitory neural activity. 相似文献
47.
48.
Manifold learning methods for unsupervised nonlinear dimensionality reduction have proven effective in the visualization of high dimensional data sets. When dealing with classification tasks, supervised extensions of manifold learning techniques, in which class labels are used to improve the embedding of the training points, require an appropriate method for out-of-sample mapping.In this paper we propose multi-output kernel ridge regression (KRR) for out-of-sample mapping in supervised manifold learning, in place of general regression neural networks (GRNN) that have been adopted by previous studies on the subject. Specifically, we consider a supervised agglomerative variant of Isomap and compare the performance of classification methods when the out-of-sample embedding is based on KRR and GRNN, respectively. Extensive computational experiments, using support vector machines and k-nearest neighbors as base classifiers, provide statistical evidence that out-of-sample mapping based on KRR consistently dominates its GRNN counterpart, and that supervised agglomerative Isomap with KRR achieves a higher accuracy than direct classification methods on most data sets. 相似文献
49.
Density functional numerical simulations are reported in which the non-equilibrium coherent transport properties of a coaxially gated carbon nanotube (CNT) are studied. Effects of screening properties of CNT on the channel conductance modulation are shown. Other factors which influence the CNT quantum capacitance beyond the density of states (DOS) are pointed out, first of all many-body effects which even cause the CNT to over-screen the gate field. Results stress the importance of a good electrostatic-design of the gate contact to obtain an effective field-effect current modulation, and suggest new interesting operation modes for quasi-one dimensional channel devices. 相似文献
50.
Multirobot motion coordination in space and time 总被引:5,自引:0,他引:5
Carlo Ferrari Enrico Pagello Jun Ota Tamio Arai 《Robotics and Autonomous Systems》1998,25(3-4):219-229
This paper describes a solution to the multirobot motion planning problem based on a decoupled analysis in the space domain and in the time domain. It investigates the practical use of the notion of motion plan quality and of the motion plan robustness measures for computing safe motions. The use of anytime algorithms allows one to evaluate the opportunity of looking for alternative solution paths by generating small variations of robot motions affecting both its geometrical path and its scheduled velocity. By using the concept of plan robustness, several alternative paths are generated and evaluated through various performance indices and impact factors, using heuristic rules. These indices allow one to know how much a variation affects a given plan. Finally, some recent experiments are outlined. 相似文献