In addition to providing processor (102) access to storage subsystems, bus (114) can be used to provide access to other subsystems and devices as well. As shown, these can include a display monitor (118), a communication interface (116), a touch (or physical) keyboard (104), and one ...
In general, 𝜖ϵ-approximate algorithms are expected to give an improved search performance at the cost of allowing an error ratio of up to the given 𝜖ϵ. Since the optimal value of 𝜖ϵ varies greatly depending on applications and cases, the approximate algorithm for an arbitrary ...
In general, 𝜖ϵ-approximate algorithms are expected to give an improved search performance at the cost of allowing an error ratio of up to the given 𝜖ϵ. Since the optimal value of 𝜖ϵ varies greatly depending on applications and cases, the approximate algorithm for an arbitrary ...
EIT has the advantages of safety, no radiation, fast response, portability, and low cost. It has received widespread attention and application in multiple fields including industrial measurement and biomedical detection, e.g., multi-phase flow visualization detection [4,5,6], bedside lung ...
Its core is to solve the Hamilton–Jacobi–Bellman (HJB) equation for approximating optimal policy and corresponding optimal cost function via NN approximators, avoiding the curse of dimensionality existing in solving the optimal control of nonlinear systems. In particular, the optimal cost function ...
Therefore, for complex ontologies, the cost of obtaining negative examples increases greatly, and ReasonKGE converges very slowly or even fails to converge. The recursive reasoning network [41] synthesizes a KB and extends it through Datalog reasoning and then employs the KB and its extended set ...
Approximate logarithmic multipliers provide a simpler design but lead to a notably higher accuracy loss, whereas approximate non-logarithmic multipliers demonstrate a lower computational error at the cost of an increased design complexity [11]. To address the need for reduced energy consumption while mai...
At this time, the sample imbalance problem of each subclass is aggravated, and some mitigation measures are needed. Wu et al. [36] applied the Cost-Sensitive Learning method in the brain–computer interface to deal with unbalanced Electroencephalogram (EEG) samples. Tang et al. [37] adopted ...
This paper proposes a simplified hardware structure for the piecewise linear spiking neuron, which reduces the computational cost of the spiking neuron to some extent, while preserving its computational characteristics. The rest of this article is arranged as follows: Section 2 introduces the simplified...
The result is explained by the reduction in the size of 𝐶(𝐵)C(B), which reduces the computational cost. Analyzing the results of Table 2, we can say that the result obtained in Table 1 is adequate. With this study, we confirmed that the resulting sets are stable, both with an ...