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...
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 ...
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...
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 ...
Once you find the vertices of the polygon of intersection, you can then texture-map that polygon. This approach is faster than the other approach from the fragment program's point of view, because you are visiting only those fragments that are inside the cube of data. However, f...
You can execute the AUTO OPTIMIZE statement to start a streaming optimization task to automatically rewrite the small files of an Iceberg table into a large file. The built-in enterprise-level Hudi connector is supported by Realtime Compute for Apache Flink to reduce O&M complexity. ...
Complexity vs. control The runtime API eases device code management by providing implicit initialization, context management, and module management. This leads to simpler code, but it also lacks the level of control that the driver API has. In comparison, the driver API offers more fine-grained...
Development complexity Simple model Harder to debug, due to multi-threading Harder to debug, due to relying on Flink state Error handling Straightforward More complex, using callbacks Straightforward Impact on enrichment API Max: one request per message Max: one request per message Reduce I/O to ...
Using the AUC score (area under the ROC curve) as a measure of performance, we find that the classifier outperforms variance and lag-1 autocorrelation for each theoretical model. When evaluated for each combination of noise amplitude and rate of forcing separately, the classifier has the highest...
The complexity of the full CCMSTPwith many interacting parameters makes it difficult to assess the effect of each synaptic parameter. To overcome this challenge, we developed a reduced MF-GC synapse model, which was analytically solvable for an instantaneous and persistent switch of MF rates. This...