Based on the aforementioned information, moving objects are detected according to the ROF obtained using the difference between the GOF and EOF13. However, the estimation uncertainty, for example, camera motion and disparity, leads to many false positives if ignored. A first-order error propagation...
In this work, we propose a dual-separation transport mechanism based on the heterogeneous nanochannel for osmotic energy harvest. The atomic-thick VMT nanosheets with large lateral size (~12 μm) are obtained via simple eco-friendly liquid exfoliation method, asymmetric nanoarchitecture is then co...
The aforementioned results reveal limitations in the predictive capabilities of current methods for therapeutic peptide function prediction. On one hand, the binary classification techniques focus on specific peptide functions, while overlooking the relationship information among different peptide functions. These...
and fast dynamic response when compared to conventional strategies and some recently published scientific works. On the other hand, the THD value of the current was significantly reduced, obtaining at one test time the values 56.87% and 0.32% before and after filtering, respectively 27.50% and 0.2...
" provides an overview and creation steps of the SMCAD dataset. Section "Experimental results and discussion" illustrates the effectiveness of Sheet-metalNet and the incremental learning strategy through experiments on MFCAD++ and SMCAD datasets, accompanied by explanations of the experimental results. ...
Given the aforementioned challenges, the feasibility of integrating the diagnostic and therapeutic modules within a single platform warrants further research, and considerable effort needs to be dedicated to developing strategies to meet completely different requirements of diagnostics and therapies in TRT. ...
5. Results and Discussions In this section, we present and discuss our empirical findings based on the aforementioned Chinese IPO dataset. We investigate the impact of the registration-based IPO reform on the IPO cost in Section 5.1, the impact on IPO underpricing in Section 5.2, and the impac...
In order to further illustrate the aforementioned results, the bar figures comparing the three prediction errors among these four methods are displayed in Fig. 8. From Fig. 8, the following conclusion can be drawn: the RMSE, the MAE as well as the MAPE of LSSVM, ELSSVM, SLSSVM and ESP...
Finally, we model the WSDL using an external tool. In this case, we used Altova XML Spy to help us with that.Figures 4, 5 and 6 contains the aforementioned data, message and interface contract definitions respectively.Figure 4 Data.xsd...
In this paper, we introduce a solution called Lightning Cat which is based on deep learning techniques. We train three deep learning models for detecting vulnerabilities in smart contract: Optimized-CodeBERT, Optimized-LSTM, and Optimized-CNN. Experimental results show that, in the Lightning Cat we...