Titlebook: Intelligent Computing Methodologies; 13th International C De-Shuang Huang,Abir Hussain,M. Michael Gromiha Conference proceedings 2017 Sprin

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書目名稱Intelligent Computing Methodologies影響因子(影響力)




書目名稱Intelligent Computing Methodologies影響因子(影響力)學(xué)科排名




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書目名稱Intelligent Computing Methodologies網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligent Computing Methodologies被引頻次




書目名稱Intelligent Computing Methodologies被引頻次學(xué)科排名




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書目名稱Intelligent Computing Methodologies年度引用學(xué)科排名




書目名稱Intelligent Computing Methodologies讀者反饋




書目名稱Intelligent Computing Methodologies讀者反饋學(xué)科排名

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Single Laser Bidirectional Sensing for Robotic Wheelchair Step Detection and Measurementstair steps in a railway station. Our step measurement technique for the wheelchair also enables the wheelchair to autonomously board a bus. Our experiments show the effectiveness and its applicability to real world robotic wheelchair navigation.

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Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Featuining and testing of the method. The pixel classification accuracy and the quality of the reconstructed disc images are used as the main performance indicators for our method. Our experiments show that high level of classification accuracy of 91.1% and 98.9% can be achieved using Weighted KNN and Fine Gaussian SVM classifiers respectively.

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A Robust Method for Multimodal Image Registration Based on Vector Field Consensus. For evaluation, we compare the performance of the proposed SPBV with two existing methods Harris-PIIFD and SURF-RPM on two multimodal data sets. The results indicate that our SPBV method outperforms the existing methods and it is robust to low quality and small overlapping multimodal images.