Titlebook: Recent Advances in Information and Communication Technology 2017; Proceedings of the 1 Phayung Meesad,Sunantha Sodsee,Herwig Unger Conferen

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書目名稱Recent Advances in Information and Communication Technology 2017影響因子(影響力)




書目名稱Recent Advances in Information and Communication Technology 2017影響因子(影響力)學(xué)科排名




書目名稱Recent Advances in Information and Communication Technology 2017網(wǎng)絡(luò)公開度




書目名稱Recent Advances in Information and Communication Technology 2017網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Recent Advances in Information and Communication Technology 2017被引頻次




書目名稱Recent Advances in Information and Communication Technology 2017被引頻次學(xué)科排名




書目名稱Recent Advances in Information and Communication Technology 2017年度引用




書目名稱Recent Advances in Information and Communication Technology 2017年度引用學(xué)科排名




書目名稱Recent Advances in Information and Communication Technology 2017讀者反饋




書目名稱Recent Advances in Information and Communication Technology 2017讀者反饋學(xué)科排名

confederacy

Analysis of Two-Missing-Observation 4?×?4 Latin Squares Using the Exact Approachion process. In addition, the proposed exact approach-based formulae facilitate the determination of the treatment sum of squares and the error sum of squares, both of which are subsequently employed in the analysis of variance (ANOVA).

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小卷發(fā)

Impurity Measurement in Selecting Decision Node Tree that Tolerate Noisy Casesproposed measurement has been yet preserved, setting up an experiment to compare with the traditional impurity measures was conducted. And the result shows that accuracy of the proposed measurement in classifying a class under noisy case is acceptable.

tenosynovitis

OMFO: A New Opposition-Based Moth-Flame Optimization Algorithm for Solving Unconstrained Optimizatiobenchmark functions for performance evaluation. The proposed OMFO was compared with the original MFO and four other well-known algorithms, namely, PSO, DE, GSA and GWO. The results clearly showed that OMFO outperformed MFO and the four other algorithms used.

放氣

A Comparative Analysis of Bayesian Network and ARIMA Approaches to Malaria Outbreak Prediction. We show that in most cases the classification models outperform the other models. We then investigate the reasons underlying the differences in performance among the models in order to shed light on their strengths and weaknesses. The models are developed and evaluated using two years of malaria and environmental data from northern Thailand.

Ancillary

上腭

Knee Implant Orientation Estimation for X-Ray Images Using Multiscale Dual Filter and Linear Regress remove tissues and noise while preserving and enhancing the bones. The proposed algorithm was evaluated on a set of 91 frontal view X-ray images of knee with implants and the experimental results, which were verified by the orthopedic surgeons, reveal 92% acceptance rate.

BRACE

FID

A New Streaming Learning for Stream Chunk Data Classification Based on Incremental Learning and Adapnly one data chunk to create a new hypothesis at a time and after learning, the learned data chunk can be thrown away and can learn the new data chunk without using the previous learned data. The experimental results show that the accuracy of the proposed method is higher than other methods in all datasets.