In this paper various complex signal constellations are considered in the context of Automatic Modulation Classification (AMC) based on a higher-order norm... M Paji,M Veinovic,V Orlic - 《Telfor Journal》 被引量: 0发表: 2021年 Algorithm for automatic recognition of PSK and QAM with unique...
with unary potentials given by the logarithm of the probability scores predicted by the segmentation network, and pairwise potentials of fixed parametric form that depend only on the image pixels. We downscale the imageX, so that it matches the resolution of the segmentation mask, produced by th...
Based on this dataset, we gained insights into which embeddings of compounds and targets and which deep learning-based algorithms perform best, providing a blueprint for the future development of CTI algorithms. Using the insights gained from this screen, we provide a novel CTI algorithm with ...
interpretations of RSIs rely on texture analysis. To enhance RSI-oriented algorithm innovation and move toward full automation, it is crucial to understand how humans process aerial images. Since none of us have lived in the sky, a core question is our ability to identify landscape features and ...
5) Attribute reduction algorithm 属性约简算法 1. , attribute reduction algorithm of rough sets and support vector machines (SVM), is proposed. 首先根据历史数据建立属性决策表,通过属性约简算法对数据进行挖掘,找到影响负荷的核心因素,然后将它们作为支持向量机的输入矢量来预测负荷。 2. This paper propo...
Figure 4.1.A test that couples to the SUT’s algorithm. Such a test expects to see one particular implementation (the specific steps the SUT must take to deliver the result) and therefore is brittle. Any refactoring of the SUT’s implementation would lead to a test failure. ...
In chapter 1, you saw the properties of a good unit test suite:It is integrated into the development cycle. You only get value from tests that you actively use; there’s no point in writing them otherwise. It targets only the most important parts of your code base. Not all production ...
In this paper, a novel use of Kernel鈥揂datron (K鈥揂) learning algorithm to aid SVM (Support Vector Machine) for ECG arrhythmias classification is propose... MH Khorrami - 《Expert Systems with Applications》 被引量: 95发表: 2010年 Relative Oral Bioavailability of Morphine and Naltrexone Deri...
The modeling procedures of SVM, random forest (RF), back propagation neural network (BPNN), long short-term memory (LSTM), and genetic algorithm-back propagation (GA-BP) methods are elucidated through a tutorial example. The simulation results demonstrated that all five methods yielded accurate ...
Brochure Moreinformationfromhttp://.researchandmarkets/reports/2175390/ PulseWidthModulationforPowerConverters.PrinciplesandPractice.IEEE PressSeriesonPowerEngineering Description:AnintegratedandcomprehensivetheoryofPWM Theselectionofthebestalgorithmforoptimumpulsewidthmodulationisanimportantprocessthatcan resultinimprovedco...