Titlebook: Advances on Smart and Soft Computing; Proceedings of ICAC Faisal Saeed,Tawfik Al-Hadhrami,Errais Mohammed Conference proceedings 2021 The

歪曲道理

Yemeni Paper Currency Recognition System Using Deep Learning Approachem is based on image processing methods to classify different types of currencies efficiently. Moreover, deep learning techniques are used to perform the classification process effectively. The obtained results in the actual implementation of this model are encouraging. The accuracy rate reaches 92.7% in the testing phases.

廢止

混合物

I. Hiti,B. Cestnik,F. Selan,J. Janezice without revealing the private key itself to the verifier during the protocol. In this work, a new identification method is presented, which bases its security on the discrete logarithm problem and partially on the Schnorr protocol. The security analysis and the complexity will be examined. An application to elliptic curves will be also given.

Anticlimax

reflection

https://doi.org/10.1057/9780230286825consuming for methods to find the best values manually. In this paper, grid search and random search hyper-parameters (HP) tuning methods were used with several machine learning methods in order to enhance the performance of detecting hate speech. The experimental results showed great improvements when HP methods were applied.

FLOUR

Web 2.0 and Network Intelligenceetection, and non-text filtering; text detection use region invariants features extraction based on moment functions to label frame pixels for text/non-text. Experimental results show high accuracy for text/non-text discrimination, and this is mainly related to orthogonal moment functions expressivity and invariants properties.

冷峻

gnarled

incarcerate

WITH