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Titlebook: Cognitive Computing – ICCC 2018; Second International Jing Xiao,Zhi-Hong Mao,Liang-Jie Zhang Conference proceedings 2018 The Editor(s) (if

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Detecting Android Malware Using Bytecode Imagecode image. We firstly extract bytecode file from Android APK file, and then convert the bytecode file into an image file. Finally we use convolution neural network (CNN) to classify malware. the proposed method directly convert a bytecode file into an image data, so CNN can automatically learn feat
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The Study of Learners’ Emotional Analysis Based on MOOCourse of the forum interactive text data as the data base, the combination of word2vec and machine learning algorithm to build emotional, and then combined with the learning emotion of this emotion classifier on learners’ emotional tendency judgment, thus obtains the MOOC learning environment learni
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On Sums of Independent Random Variables,dly. Finally, the enhanced-KELM (EKELM) model is applied to perform the thyroid disease diagnosis tasks using the most discriminative feature subset and the optimal parameters. The effectiveness of the proposed system is evaluated on the thyroid disease dataset in terms of classification accuracy. E
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An Efficient Diagnosis System for Thyroid Disease Based on Enhanced Kernelized Extreme Learning Machdly. Finally, the enhanced-KELM (EKELM) model is applied to perform the thyroid disease diagnosis tasks using the most discriminative feature subset and the optimal parameters. The effectiveness of the proposed system is evaluated on the thyroid disease dataset in terms of classification accuracy. E
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Localized Mandarin Speech Synthesis Services for Enterprise Scenariosel, and can be invoked by multiple processes simultaneously, thus further improving the efficiency of speech synthesis. Experimental results demonstrate that our proposed method can significantly reduce the time latency while maintaining voice quality of synthesized speeches.
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Utilizing the Capabilities Offered by Eye-Tracking to Foster Novices’ Comprehension of Business Proc eye-movements are visualized as scan paths to analyze the applied comprehension strategies. We learned that experts comprehend process models more effectively than novices. In addition, we observed particular patterns for eye-movements (e.g., back-and-forth saccade jumps) as well as different strat
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