Quantum circuit theory has become a powerful and indispensable tool to predict the dynamics of superconducting circuits. Surprisingly however, the question of how to properly account for a time-dependent driving
Let us first explain the evolutionary consistency. In natural sequence evolution, the probability (density) of an indel process must be givenvertically, as a multiplicative accumulation of the probabilities of transitions between states of anentiresequence, each from one time point to the next one, ...
In this paper, we use the “RandomizedSearchCV” and “GridSearchCV” functions to solve this issue and realise the precise optimisation of parameters. Next, the BP neural network, decision tree, and least squares support vector machine (LSSVM) are used to compare their model performance with...
With the ability to solve complex prediction problems, ML can be an effective method for crash prediction in work zone areas on freeways considering the complexity of the built environment and the dynamic changes in traffic, if data related to traffic and work zone information are available. This...
The transmitted signal vector is referred to as x n t , the received signal vector as y ~ n r . The vector n ~ n r ∈ C N sub × 1 is additive white zero mean Gaussian noise with variance σ n 2 on antenna nr. In case of a time-invariant channel, the channel matrix H ~ ...
c# code to get password complexity of active directory C# code to left shift elements in an array C# code to load image from SQL Server database into a picture box C# Code to Process LAS files C# code to read Windows Event Viewer System log in real time C# code to refresh excel data ...
Secondly, with the increased volume of large scene data, time costs involved in the localization and dense depth estimation process cannot be tolerated due to the quadratic relationship between computational complexity and the number of optimized parameters [12]. To solve these problems, we proposed ...
then you DON'T need to insert it; - if you do add an element to the set then you can subsequently remove the biggest element; this will keep the set small and hence quick to insert in; - the next value that you write out will be either the last one (if nothing was inserted), ...
In-memory computingtime complexitymatrix-vector multiplicationresistive memoryMatrix-vector multiplication (MVM) is the core operation of many important algorithms. Crosspoint resistive memory array enables naturally calculating MVM in one operation, thus representing a highly promising computing accelerator for...
Time series collections use an underlying columnar storage format and store data in time-order. This format provides the following benefits: Reduced complexity for working with time series data Improved query efficiency Reduced disk usage Reduced I/O for read operations ...