If you want to increase the complexity a notch, you can use the LAMBDA function. It allows you to create custom and reusable functions and give them a name. LAMBDA can help you create functions for your functions. That means you’re not copying and pasting formulas, helping to avoid errors...
The M3-Competition was the third in a series of competitions that sought to discover exactly what algorithms perform well in practice on real time series forecasting problems. The results of the competition were published in the 2000 paper titled “The M3-Competition: Results, Conclusi...
Commonly used iterative image reconstruction algorithms, such as maximum likelihood expectation maximization (MLEM) or ordered subset expectation maximization16,17, are difficult to apply to the TOF-DuPECT system owing to the geometrical complexity of the hyperbolic response curve and the heavy ...
Road manhole covers are crucial components of urban infrastructure; however, inadequate maintenance or poor marking can pose safety risks to vehicular traffic. This paper presents a method for detecting road manhole covers using a stereo depth camera and
they would be using the long-term chart to define the trend, the intermediate-term chart to provide the trading signal and the short-term chart to refine the entry and exit. One note of warning, however, is to not get caught up in the noise of a short-term chart and over analyze a...
This cutoff value is not a hand-set parameter but rather is calibrated as a neural network parameter throughout the minimization of a customized loss function. The efficiency of the proposed approach compared to several well-known anomaly detection algorithms is numerically demonstrated on both ...
The notation for the model involves specifying the order of the model p as a parameter to the AR function, e.g. AR(p). For example, AR(1) is a first-order autoregression model. The method is best suited for single-variable time series that lack trend and seasonal components. ...
For these methods, the positions of sinks are chosen from a set of candidates. Clearly, the computational complexity of the formulated problem is heavily dependent on the total number of candidates. Meanwhile, some greedy algorithms have been proposed for sink deployment. In [15], the K sink ...
However, although the detection complexity of the PD and p-PD algorithms is significantly low compared with the ML detection, it is still too high to be implemented over a large modulation order. SUMMARY OF THE INVENTION Therefore, an object of the present invention is to provide a quasi-...
diagnosis in such way as multi-source information fusion. However, a large amount of data in these studies are demanded and the computational processes are cumbersome. This increases the time cost and complexity of fault analysis and limits the depth and breadth of its application in power grids...