With the continual development of the global economy, the air transportation demand has significantly increased across various industries, leading to a surge in flight traffic and airspace complexity. To optimize flight scheduling and improve operational efficiency, the traffic prediction is extensively stu...
In subject area: Computer Science Runtime complexity refers to the computational time required by an algorithm to process each new observed timestep, with a complexity similar to the forward probability extension in the CHMM model, denoted as O(D|S|2). Here, D represents the depth of the de...
First of all, let's understand what time complexity actually means. Formal definitions aside, we can say that if a code is O(f(n)), the time consumption of that code should be something like C*f(n)+S where C is a constant and S is something small compared to the rest. So let's...
Formally, this property corresponds to obtaining lower time complexity for models without numerical instabilities and errors as illustrated in Table 1 (left). For example, Table 1 (left) shows that the complexity of a pth-order numerical ODE solver is \({{{\mathcal{O}}}(Kp)\), where K ...
This leads to the model function: (18)ε(v̄)=v̄εmaxexp(−ln2[ln(1+2b(v̄−v̄max)/Δv̄)/b]2) In modelling an absorption difference spectrum the ground state spectrum ε0 is subtracted from a linear combination of εν̄ as in Eq. (18): (19)ε(v̄;(v...
Despite the outlined advantages of fog monitoring and MPSoCs, existing research still lacks a model-based development process to design, deploy and evaluate the predictability of fog monitoring of real-time control over MPSoCs. Considering that model-based development allows dealing with complexity, ve...
A trust management mechanism for mobile ad hoc networks (MANETs) is proposed to cope with security issues that MANETs face due to time constraints as well as resource constraints in bandwidth, computational power, battery life, and unique wireless charac
systemhas any real (or positive) roots is-hard already for[22]: With our underlying measure of size being(which has asymptotically the same order as the number of bits needed to write down all the monomial terms ofF), the existence of an algorithm with complexity, for just one, would ...
We use a neural network with a CNN-LSTM architecture and hyperparameters as in ref. 25. This consists of a single convolutional layer with max pooling followed by two LSTM layers with dropout followed by a dense layer that maps to a vector of probabilities over the six possible classes. For...
The aforementioned methods measure the ensemble-averaged two-point time-correlation function 〈A(0),A(t)〉, withtbeing time andAbeing the dipole moment vector in THz spectroscopy, the polarizability tensor elements in Raman spectroscopy and the particle density in neutron scattering. More recently, ...