Complexity and algorithms for min cost and max profit scheduling under time-of-use electricity tariffsSchedulingTime-of-use tariffsSingle machineMaximum profitMinimum costFollowing a recent interest in sustainable scheduling under operational costs that vary over time, we study scheduling problems on a ...
The update interval of the trajectory in this dataset is 20 s. The trajectory attributes are normalized using max-min normalization to unify data scales and ranges (longitude and latitude: degree, altitude: 10 m, speed: kilometers per hour). To evaluate the model performance, the trajector...
We have attempted more complicated measures such as MSM [52] and TWED [31]. They are very time-consuming because they have at least quadratic time complexity, and neither of them (using the Python implementations from sktime [30]) could complete the run within the 2-day time frame for an...
of a dynamic data structure implemented in GoldRush, a de novo long read genome assembly algorithm with linear time complexity. We tested GoldRush on Oxford Nanopore Technologies long sequencing read datasets with different base error profiles sourced from three human cell lines, rice, and tomato. ...
One main reason for this is that the complexity of systems and the applications that run on them have also increased at high rates, requiring more processing to achieve their rich functionality. The underlying trade-off between responsiveness (smaller quantum size) and low overheads (larger quantum...
In summary, we use a novel GA process to optimize FTS’s hyper-parameters and generate an FTS model with low complexity and high accuracy. Algorithm 2 depicts the whole process of the parsimonious fuzzy time series modelling. The whole process is explained step by step below. Step 1. In ...
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing. This is an adaptation to take RRI or peak times from fetal and maternal heart rate data as input and output 60+ HRV measures including optimal time delay-based complexity measures wi
AbsoluteClipTime() Creates an instance of AbsoluteClipTime class. Method Summary 展開資料表 Modifier and TypeMethod and Description Duration time() Get the time property: The time position on the timeline of the input media. void validate() Validates the instance. AbsoluteClipTime with...
It not only overcomes the computational complexity, training inefficiency, and difficulty of the practical application of RNN but also avoids the problem of locally optimal solutions. ESN mimics the structure of recursively connected neuron circuits in the brain and consists of an input layer, an ...
The bold vision of AI-driven pervasive physiological monitoring, through the proliferation of off-the-shelf wearables that began a decade ago, has created immense opportunities to extract actionable information for precision medicine. These AI algorithms